What's with the name?

Way before Harley Howe and Patrick Wilkinson formed Cat Daddy Games 20 years ago, a much younger Harley was exposed to the perils of falling trees at a family-owned timber company. In those days, it wasn't uncommon for a cut tree to get stuck on other trees as it crashed towards the ground. Harley learned that the only way to get these trees all the way down was with a "cat daddy," a man who literally climbed up stuck trees, chopped off the limbs, and then rushed down the tree as it plummeted towards the earth. The longer Harley spent with these guys, the more he realized that cat daddys were almost solely responsible for all the random acts of brilliant stupidity happening out in the woods.

And so ...

Cat daddys left quite the impression on Harley, so when Pat and Harley started their company, it seemed fitting that Cat Daddy Games be the name. They were going against convention and playing it loose, creating adventurous games on a variety of emerging platforms without a safety net. Like a way geekier version of real cat daddys.

Pat and Harley's relationship grew and grew with multiple successful PC titles released and in 2003 they were purchased by Take-Two Interactive. With this they moved into console and delivered the Carnival Games franchise. As the industry changes so does their focus. They are now currently plugging away on mobile and VR games with some nice upcoming titles soon to be released.

Industry: Computer Games
Company Size: 51-200 employees

Cat Daddy Games

Savvy Admin PROD

Cat Daddy Games is more than just a mobile video game company; we are a passionate and close-knit family of creators. Based in Kirkland, Washington, we combine our innovative spirit with the support and expertise of Take-Two Interactive to push the boundaries of what's possible in the gaming industry. With our focus on live service projects like WWE SuperCard and NBA 2K Mobile, we constantly strive to deliver engaging and unforgettable moments for our players.

**What We Need**

Cat Daddy is seeking a Game Designer to join our team of artists, engineers, and product managers to collaborate on game feature designs and monetization strategies for free-to-play mobile games. The ideal candidate has shipped multiple F2P mobile games in a design role, from concept to live operations.

This is an in-office position, located in Kirkland, WA.

**What You Will Do**

- Design new gameplay experiences including time-limited events, alternative game modes, and mini-games that add variety and excitement to the core game loop.

- Pitch and prototype creative concepts that align with player motivations, game themes, and business goals.

- Collaborate with cross-functional teams to balance fun, difficulty, and monetization across your designs.

- Build and maintain clear documentation, wireframes, and specs to communicate design intent.

- Analyze player feedback and data to refine designs and identify opportunities for future content.

- Stay on top of mobile game trends and competitor features to ensure our game remains fresh and competitive.

**Who We Think Will Be An Excellent Fit**

- 5+ years of game design experience, with a focus on free-to-play mobile games. Experience designing card-collecting, card-battling, and/or deck-building games is a plus!

- Bachelor's degree in a related field, and/or comparable, relevant work experience.

- Expert-level understanding of the mobile game landscape from a game design perspective, including game economies, data analysis, and back-end environments.

- World-class communication skills, with proven ability to produce effective design documentation

- A great teammate who can collaborate with engineers and artists on game development.

At Cat Daddy, we believe diversity of experience is fundamental to creating accessible and fun gaming experiences for *all* of our players. We encourage everyone to consider being a part of our team.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

By clicking on this link, you consent to the processing of your personal information by 2K Games, Inc. and its affiliate Take-Two Interactive Software, Inc. in accordance with the Privacy Notice for Job Applicants (the “Privacy Notice”), available at https://www.2k.com/applicantprivacypolicy/. The Notice provides information about how we use your data and how you can exercise your right of access, rectification or deletion. If you need more information, please contact the Privacy Contact identified in the Notice.

I have read the Notice consent to the collection, processing, transfer and use of my personal information by 2K Games and Take-Two.

The pay range for this position in Washington at the start of employment is expected to be between $78,900 and $116,760 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.

Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program.

Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses.

Game Designer

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. 

Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

Industry: Software Development
Company Size: 10,001+ employees

Microsoft

**Overview**

The Bing Multimedia team is shaping the next generation of AI-powered visual discovery, helping people explore, understand, and make decisions through images at global scale. We build the intelligent systems that power Bing Image Search and multimodal experiences across Microsoft’s AI ecosystem.

As a**Senior Software Engineer ** on the Image Search Experience team, you will design and build AI-powered systems that span both backend platforms and user-facing experiences. You will work with multimodal understanding, large language models, and scalable distributed services to deliver rich, adaptive visual experiences across the stack. This role includes building core services and APIs as well as front-end and experience-layer components that bring intelligent visual discovery to life for users.

This role offers the opportunity to work on large-scale, production-grade AI experiences used by millions of people worldwide, while growing your technical depth, driving end-to-end execution, and contributing to the evolution of Bing’s visual search platform.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

**Responsibilities**

- Design and build AI-powered image search capabilities, helping intelligent systems understand user intent, adapt to context, and deliver meaningful visual experiences at global scale.

- Own key product and platform components end to end, translating user and business needs into scalable system designs and production-ready solutions.

- Apply large language models and multimodal AI in production, integrating reasoning and grounding capabilities to improve relevance, usefulness, and overall experience quality.

- Build intelligent, adaptive experiences across the stack, contributing to both backend services and user-facing components that help users explore, refine, and act on visual information.

- Design, implement, and operate scalable platforms and services, maintaining high standards for performance, reliability, maintainability, and efficiency under real-world workloads.

- Use metrics, experimentation, and user feedback to evaluate impact, guide engineering tradeoffs, and continuously improve product quality.

- Collaborate closely across engineering, product, design, data science, and platform teams, contributing to architecture discussions, code quality, and engineering best practices while helping raise the bar for the team.

**Qualifications**

**Required Qualifications:**

- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

- OR equivalent experience.

**Preferred Qualifications**

- Experience building search, recommendation, or large-scale information retrieval systems.

- Hands-on experience applying LLMs, multimodal AI, or AI-driven reasoning systems in production environments.

- Experience designing evaluation frameworks, experimentation approaches, and quality metrics for AI-powered systems.

- Background in image processing, computer vision, or content understanding pipelines.

- Experience mentoring engineers, contributing to engineering best practices, and helping raise technical quality across a team.

- Solid product intuition, with the ability to balance user value, technical complexity, and operational constraints.

#MicrosoftAI

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommodations. **

Senior Software Engineer

**Overview**

Are you passionate about building scalable cloud services and applying AI to solve real-world problems?

We are looking for a Senior Software Engineer (Technical Lead) to design and deliver cloud-native services using Microsoft technologies, and to help shape how AI improves both our customer experience and internal engineering operations. In this role, you’ll provide hands-on technical leadership, turning ambiguous problem areas into clear designs, high-quality implementations, and measurable reliability improvements.

This is a high-impact opportunity to work across teams, influence technical direction, and lead initiatives end-to-end as a senior individual contributor.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

**Responsibilities**

- Lead the design and development of scalable, secure, and reliable services using C#, .NET, and Azure.

- Own key architectural decisions and drive technical strategy through design reviews, technical proposals, and hands-on prototypes.

- Partner with support and operations to identify customer-impacting issues, clarify requirements, and translate operational pain points into engineering work.

- Analyze incidents and trends to identify root causes, drive post-incident learnings, and deliver durable fixes that reduce recurrence

- Build automation and self-service capabilities (tooling, diagnostics, guardrails) to reduce operational overhead.

- Design and implement AI-powered capabilities (e.g., copilots, LLM integrations, and agent-based workflows) with appropriate evaluation, safety, and monitoring.

- Collaborate across engineering, product, and business teams to deliver end-to-end solutions and align on tradeoffs.

- Mentor engineers, raise engineering standards (quality, reliability, security), and foster a culture of learning and inclusion.

**Qualifications**

**Required:**

- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

- OR equivalent experience.

**Other Requirements**

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

**Preferred**

- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

- OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

- OR equivalent experience.

- 8+ years of software engineering experience.

- Solid experience with:C#, .NET / .NET Core.

- Azure (cloud-native services, DevOps, monitoring).

- Experience designing and operating distributed systems at scale.

- Experience working with production systems, including incident management and troubleshooting.

- Proven ability to collaborate effectively with support and operations teams.

- Solid problem-solving, communication, and stakeholder management skills.

- Exposure to modern AI technologies and a curiosity to apply them in practical scenarios.

- Experience building or integrating AI agents (copilots, task automation, multi-step workflows).

- Familiarity with emerging standards such as Model Context Protocol (MCP) or similar frameworks for tool/agent orchestration.

- Experience connecting LLMs with enterprise systems, APIs, and data sources.

- Experience with Power Platform (Power Apps, Power Automate) & Logic apps.

- Experience reducing operational load through automation or platform improvements.

- Prior experience mentoring engineers or leading technical initiatives.

- Experience building or integrating AI agents (copilots, task automation, multi-step workflows).

- Familiarity with emerging standards such as Model Context Protocol (MCP) or similar frameworks for tool/agent orchestration.

- Experience connecting LLMs with enterprise systems, APIs, and data sources.

- Experience with Power Platform (Power Apps, Power Automate) & Logic apps.

- Experience reducing operational load through automation or platform improvements.

- Prior experience mentoring engineers or leading technical initiatives.

#MicrosoftAI #MicrosoftAdvertising #MAI

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommodations. **

**Overview**

Shape the way the M365 measures AI!

On the Evaluation Platform Team,  you’ll have a front-row seat to how AI impacts millions of users and help steer one of Microsoft’s most important efforts forward, taking our evaluation system to the next level by allowing our teams, partners and customers understand what "high quality" means for our AI products.

Our goal is to accelerate learning by making sure all the user journeys of an eval system (fine tuning a model, launching a new feature or experiment, adding metrics, onboarding a new 1P or 3P partner, etc) are supported by friendly, reliable, scalable and well documented tools that are loved by their users.

We are looking for a Senior Software Engineer!

**Some Of The Work You Will Be Involved In**

- Building reusable components that we can leverage across our evaluation stack.

- Driving new capabilities in the platform that reduce the time to launch by allowing more capacity, speeding up the system, reducing the number of manual steps to launch, improving debuggability, etc…

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

**Responsibilities**

- Collaborate with appropriate stakeholders to determine user requirements for a scenario.

- Drive identification of dependencies and the development of design documents for a product, application, service, or platform.

- Create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).

- Leverage subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items.

- Act as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.

- Proactively seek new knowledge and adapt to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

**Qualifications**

**Required Qualifications:**

- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

- OR equivalent experience.

**Other Requirements**

- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

**Microsoft Cloud Background Check **: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

**Preferred Qualifications**

- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

- OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

- OR equivalent experience.

- Experience building systems to evaluate and drive quality in a product and using data to drive engineering decisions.

- A passion for building reliable, scalable infrastructure and making your users successful.

- Comfortable at operating in a dynamic environment; takes initiative to bring clarity and momentum.

- Self-motivated and outcomes-focused, with a strong sense of ownership and accountability.

- Platform engineering mindset: building reusable components, reducing time‑to‑launch, improving debuggability, and delivering well‑documented tooling.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommodations. **

SpaceX designs, manufactures and launches the world’s most advanced rockets and spacecraft. The company was founded in 2002 by Elon Musk to revolutionize space transportation, with the ultimate goal of making life multiplanetary. 

SpaceX has gained worldwide attention for a series of historic milestones. It is the only private company ever to return a spacecraft from low-Earth orbit, which it first accomplished in December 2010. The company made history again in May 2012 when its Dragon spacecraft attached to the International Space Station, exchanged cargo payloads, and returned safely to Earth — a technically challenging feat previously accomplished only by governments. Since then Dragon has delivered cargo to and from the space station multiple times, providing regular cargo resupply missions for NASA.

For more information, visit www.spacex.com.

Industry: Aviation and Aerospace Component Manufacturing
Company Size: 1,001-5,000 employees

SpaceX

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

**MANUFACTURING ENGINEER, SOLAR (STARLINK)**

SpaceX is developing a low latency, broadband internet system to meet the needs of consumers across the globe. Enabled by a constellation of low Earth orbit satellites, Starlink will provide fast, reliable internet to populations with little or no connectivity, including those in rural communities and places where existing services are too expensive or unreliable. We are looking for talented, creative, and driven manufacturing engineers to drive manufacturing tools and processes, from initial concept development to full scale production, and will interact regularly with senior leadership during critical design phases. You will own the relationship between the engineering development and production teams. The success of Starlink depends on the quality, reliability, cost, manufacturability, throughput, security, and user experience of the products that you deliver.

**Responsibilities**

- Design and implement electro-mechanical assembly and test processes

- Collaborate with the mechanical design team to incorporate design for manufacturability

- Lead prototype builds ensuring incremental milestones for the production development are met

- Ensure manufacturing systems are capable of hitting high volume rate, cost and quality targets

- Lead facilities development, floor layout, headcount requirements and material flow definition

- Identify tooling and hardware requirements, design and implement into production processes

- Identify automation opportunities and establish requirements as well as evaluating return on investment for each

- Work with in-house resources or vendors as necessary to develop these solutions and implement on production line

**Basic Qualifications**

- Bachelor's degree in an engineering discipline

- 1+ years of experience in a manufacturing environment via professional work experience, project/research-based student experience, or a combination of both

**Preferred Skills And Experience**

- Demonstrated experience working in a highly adaptive and iterative environment

- Proven excellence in a high volume commercial or automotive manufacturing environment

- Experience transitioning products from design to manufacturing and scaling to high volume as part of a cross-functional team

- Experience with DOE, gage R&R and process qualifications

- Experience defining production data requirements and SPC

- Ability to design tooling for high volume manufacturing

- Demonstrated experience implementing automation into production processes

- Experience integrating electromechanical or lamination assemblies with both manual and automated processes

- Ability to develop and maintain high performing suppliers and contract manufacturers

- Experience with NX and Teamcenter

- Experience working with and defining requirements for ERP, MRP and MES systems

**Additional Requirements**

- Must be available to work extended hours and weekends as needed

**Pay Range**

**COMPENSATION AND BENEFITS:**

Manufacturing Engineer/Level I: $100,000.00 - $115,000.00/per year

Manufacturing Engineer/Level II: $110,000.00 - $135,000.00/per year

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees in Washington State accrue paid sick time in compliance with state and federal law. Company shuttles are offered to employees for roundtrip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday.

**Itar Requirements**

- To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C.

- 1157, or (iv) Asylee under 8 U.S.C.

- 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com~~. ~~

Manufacturing Engineer, Solar (Starlink)

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

**NETWORK ENGINEER (STARLINK COMMUNITY GATEWAY)**

Starlink Community Gateway delivers 10 Gbps via Dedicated Internet Access or IP Transit to the most remote places on Earth. See more at starlink.com/community-gateway. As a network engineer on the Starlink Community Gateway team you will define, build, and deploy key product features and capabilities that unlock new use cases and advance global connectivity. To succeed in this role, you must be a technically excellent first principles problem solver. You must be a self-starter and have a passion for making things work in high-impact situations.

**Responsibilities**

- Work directly with the Community Gateway hardware and customers to improve performance, reliability, and to resolve technical issues when they arise

- Provide sales teams with pre-sales support, acting as the technical subject matter expert and engineering representative for Community Gateways in customer interactions and proposal review

- Develop processes and guides to streamline customer integration with the Starlink network and equipment

- Collaborate with hardware, software, network, and business operations teams to define and implement product requirements and capabilities that address Community Gateway customer needs

- Directly support activation of new installations from initial connectivity through customer integration and scaling

- Travel to customer sites for to support installation, troubleshooting, and integration of Community Gateway systems

**Basic Qualifications**

- Bachelor's degree in an engineering or STEM discipline; OR 2+ years of professional networking experience in lieu of a degree

- 1+ years of networking experience deploying enterprise network solutions and/or cloud & web-scale networks

- Professional experience with the deployment of networking hardware (Routers, Modems, Switch, Firewalls, etc..)

**Preferred Skills And Experience**

- Background in network engineering and deploying network technologies in customer environments including:

- Understanding of core networking concepts from layer 1 through layer 3 and network protocols such as IPv4, IPv6, DHCP, NAT, NTP, IPsec VPN, etc.

- Knowledge of routing technologies (such as MPLS, SD-WAN, SATCOM, etc) and WAN architectures

- Understanding of backhaul, cloud, and ISP networking technologies such as dedicated interconnects, peering, BGP, etc

- Ability to perform network troubleshooting including analyzing customer network captures and Starlink hardware telemetry to root cause network integration issues.

- Ability to identify technical improvements in support of a mission and coordinate an interdisciplinary team to deliver.

- Experience in software engineering or experience directly working with software engineering teams.

- Experience at an early-stage technology startup or program that scaled rapidly.

**Additional Requirements**

- Must be available to work extended hours and/or weekends as needed to support critical milestones or operations shifts

- Must be willing to travel to other SpaceX offices, vendors, partners, and customers as necessary

**Pay Range**

**COMPENSATION AND BENEFITS:**

Network Engineer/Level I: $125,000.00 - $145,000.00/per year

Network Engineer/Level II: $145,000.00 - $175,000.00/per year

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k)-retirement plan, short & long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation & will be eligible for 10 or more paid holidays per year. Exempt employees are eligible for 5 days of sick leave per year. Company shuttles are offered to employees for round trip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday.

**Itar Requirements**

- To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C.

- 1157, or (iv) Asylee under 8 U.S.C.

- 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com~~. ~~

Network Engineer (Starlink Community Gateway)

Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to cleaner and more comfortable transportation as well as advanced healthcare, the company creates technology with purpose adding real value for customers. By combining the real and the digital worlds, Siemens empowers its customers to transform their industries and markets, helping them to transform the everyday for billions of people. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a globally leading medical technology provider shaping the future of healthcare. In fiscal 2023, which ended on September 30, 2023, the Siemens Group generated revenue of €77.8 billion and net income of €8.5 billion. As of September 30, 2023, the company employed around 320,000 people worldwide.

Industry: Herstellung von Automatisierungsanlagen
Company Size: 10.001+ Beschäftigte

Siemens

Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals. Industrial and physical AI is a major opportunity in applied AI, and one of the harder ones to get right. There is a generation of AI-powered products to build.

We are an applied science organization building the science behind them. The work sits at the intersection of machine learning research, real world data, and production systems running in industrial environments.

As Applied Scientist, you work on the science on a major capability area inside the pod. You take ambiguous problems through hypothesis, method selection, experimentation, and into models that run in production. You are hands on with the modeling, and you are accountable for the rigor and the outcome.

This is an individual contributor role. You will work in close partnership with engineers and product managers who turn your work into product.

Key responsibilities

- Contribute to one or more scientific capability areas end to end, for example perception, computer vision, language and agents, time series, control, planning, or evaluation

- Take problems from ambiguous product or system requirements through clear research questions, hypotheses, and success metrics

- Contribute to applied research projects: literature review, method selection, experimentation, ablation, error analysis, and productization

- Build and run the evaluation pipelines for the work you own: offline metrics, online experiments, robustness testing in industrial conditions

- Work with engineers to take models into production grade pipelines: data readiness, training infrastructure, inference, observability

- Make scientific tradeoffs in front of engineers and product managers, with evidence, and translate them into decisions the team can act on

- Identify and de-risk scaling challenges in your area: data quality, model drift, latency, throughput, cost, safety

- Raise the bar on experimentation rigor, reproducibility, and documentation across the team

- Apply responsible AI practices in your work: bias detection, model risk management, human in the loop controls

**Basic Qualifications**

- 4+ years in applied machine learning, AI research, or data science, with models that shipped to production and made an impact

- Strong foundation in machine learning theory and practice across training, evaluation, and deployment

- Demonstrated experience taking research from a paper or prototype into a model that runs reliably in production

- Proficiency in Python and modern ML frameworks and toolchains

- Strong partnership track record with engineering teams on data, training infrastructure, and inference

- Clear written and verbal communication with engineers, product managers, and senior leaders

**Preferred Qualifications**

- Experience applying ML in industrial or physical domains: manufacturing, automation, robotics, energy, mobility, infrastructure, healthcare

- Deep expertise in one of: multimodal ML, generative AI, retrieval augmented generation, agentic workflows, time series, control, or planning

- Scientific ML for physical systems: surrogate modeling, operator learning, physics-informed ML, geometry-aware ML, differentiable simulation, AI for semiconductor/EDA

- Hands-on experience building evaluation pipelines, running online experiments, or instrumenting production monitoring for a model you owned

- Publications, patents, open source contributions, or significant internal technology transfers

- Experience working with globally distributed research, product, or engineering organizations

**About the Team:**

We are an early-stage engineering team solving hard technical problems at the intersection of AI, systems, and real-world interaction. We operate with high autonomy, collaborate closely across functions, and maintain high technical standards. Principal Engineers at our company are expected to lead by example, model engineering excellence, and shape both what we build and how we build it.

**Our Commitment to Equity and Inclusion in our Diverse Global Workforce:**

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

$166,000 $197,000 10%

Applied Scientist

**Overview**

Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? Join Engineering Operations (EngOps) – the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. As part of EngOps, you’ll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact. Our culture of empowerment, inclusion, and growth mindset defines how we work.

The Customer Reliability Engineering (CRE) team within Azure EngOps is a top-level pillar of Azure Engineering responsible for world-class live-site management, customer reliability engagements, modern customer-first experiences for scale, and drives deep customer insights and empathy into the broader Azure Engineering organization. Our “no dead-end’s” philosophy ensures that every customer, regardless of size or scale, can realize their full potential through the Microsoft Cloud. Our operations are enabled with AI to drive quality and governance, correlate incidents across services, predict customer impact, and deliver actionable intelligence to CRE engineers and customer-facing teams in real time.

We’re looking for a Service Engineer who blends operational rigor with AI Skills. You will build and manage the end-to-end solutions that power these operations: data pipelines, AI-powered agents, internal dashboards, and automation that enable engineering and customer-facing teams to take decisive action. You will work across the full stack, collaborating with engineers, program managers, and customer-facing teams to turn operational problems into reliable, scalable agent and skills.

Every day, our customers stake their business and reputation on cloud. You can help #EngOps provide our customers with the world-class cloud services they need to succeed.

**Responsibilities**

- Contribute to building intelligent agents, LLM-powered workflows, and AI-assisted coding tools that automate incident triage, customer impact assessment, and operational intelligence. Build proactive systems (automated validators, release gates, monitoring) that eliminate classes of operational failures before they impact customers

- Build and maintain data integrations across incident management systems, Azure DevOps, Azure Data Explorer, and other platforms. Identify and automate manual processes, and build monitoring and self-healing capabilities that reduce toil

- Work with EngOps operations, program management, customer-facing teams, and partner engineering teams to translate business requirements into technical solutions. Participate in design reviews and code reviews

- Cloud operations are unpredictable. You will adapt quickly, reprioritize when incidents demand it, and engage during major cloud incidents when needed

- Use metrics to assess operational effectiveness, platform health, and the impact of reliability improvements

- Bring an engineering mindset to data operations—balancing agility, scalability, and technical excellence to solve operational challenges

- Exhibit strong cross-team collaboration, engineering mindset, and results-oriented execution under pressure

**Qualifications**

**Required Qualifications:**

- Bachelor's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 2+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls

- OR equivalent experience

**Other Requirements**

- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

**Preferred Qualifications**

- 5+ years of experience in cloud operations, incident response, or problem management

- Familiarity with AI/ML technologies such as large language models (LLMs), agentic frameworks (MCP, function calling), AI-assisted coding, or multi-model evaluation and orchestration

- Experience in AI skills and agent development and management

- Experience with operational data and telemetry platforms such as Azure Data Explorer (Kusto), Azure DevOps APIs, or similar monitoring systems

- Proficiency in big data concepts and query writing using Kusto/KQL, data visualization tools (e.g., Power BI), and statistical software (e.g., R, Python)

- Comfort working in ambiguous, high-urgency environments where priorities shift quickly

- Good written and verbal communication skills in English, coupled with sound problem-solving, judgment, and decision-making abilities for high-stakes scenarios

- Relevant certifications in cloud technologies, incident management, or data analytics (preferred)

#azcre

Service Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommodations. **

Service Engineer

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.

Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.

You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

Industry: Software Development
Company Size: 10,001+ employees

Amazon

**Description**

Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world.

Have you ever wanted to become involved in the global rollout of satellite earth stations for a high-performance satellite constellation? We are looking for a Satellite Ground Technical Operations Engineer to join Leo's ground gateway terminal operations team. You will lead efforts to ensure high performance ground gateways are able to continuously serve our broadband customers by investigating faults and anomalies, both remotely and on-site at our gateway terminals. You will collaborate with other subject matter experts to develop the tools and procedures necessary to support this global endeavor.

This position may require access to information, technology, or hardware that is subject to export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Employment in this position is contingent upon obtaining any required export licenses or other approvals from the United States government. As such, the successful candidate must be eligible to obtain any necessary export licenses or approvals based on their nationality, citizenship, and any other factors considered by the applicable export control regulations.”

**Export Control Requirement**

Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Key job responsibilities

-  Address and remediate antenna faults, alarms, and anomalies

-  Perform on-site fault analysis and troubleshooting of gateway antennas

-  Maintain and/or update antenna calibrations as necessary

-  Perform software updates/upgrades of antenna components

-  Manage tactical interactions with partners to ensure milestones, deliverables, and technical artifacts are technically compliant with project objectives and programmatic requirements.

-  Work with stakeholder teams to maintain operational terminals in sync with organizational goals.

-  Develop team training plans and materials.

-  Communicate regularly with senior management on status, risks and change control.

-  Focus on our efforts in the AMER region

A day in the life

As a Gateway Terminal Technical Ops Engineer, you will provide both remote and on-site leadership to analyze, fix, and maintain our gateway antennas across the world. You will address tickets generated by our automated monitoring systems; providing critical feedback to dial in and improve our systems. You must be willing to travel (up to 50%) to our gateways in order to address physical problems and troubleshoot faults and anomalies. Your contributions will keep our systems capable of serving our customers. These systems provide mission critical communications with Leo satellites. Ground terminals include state of the art tracking antennas, modems, and innovative support systems.

**About The Team**

The Ground Systems team is responsible for the architecture, design, build, installation, and operation of globally located Leo Ground and TTnC terminals. Our Ground Gateways enable high data rate, low latency communications between Kuiper points of presence and our Low Earth Orbit Satellite constellation. The team works closely with Ground Infrastructure Services, Networks, Regulatory, Payload Test, and RF Systems teams to ensure Leo provides a seamless customer experience.

**Basic Qualifications**

-  3+ years of satellite communications ground systems and operations experience

-  2+ years of networking and troubleshooting experience

-  Experience in root cause analysis and troubleshooting or problem solving

-  Ability to write and review accurate and complete support procedures, system documentation, and issue tracking entries.

-  Bachelor's Degree in RF, Aerospace, or other technical discipline or equivalent experience

-  3+ years of work experience in design and commission of radio/mobile telecommunications/RAN installations or SATCOM earth stations.

**Preferred Qualifications**

-  Experience with satellite communications earth stations or network development, deployment, and operation

-  Ka-band experience as related to earth/ground station infrastructure

-  LEO and/or MEO satellite systems experience.

-  Excellent technical, problem-solving and communication skills

-  Ability to communicate in both English and Spanish

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Redmond - 136,000.00 - 184,000.00 USD annually

**Company ** - Amazon Kuiper Manufacturing Enterprises LLC

Job ID: A10407865

Ground Terminal Technical Ops Engineer, Leo Ground Systems

Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. 

Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience

Industry: Research Services
Company Size: 10,001+ employees

Amazon Science

**Description**

The NA AMZL Supply Chain organization leads the innovation of Amazon’s Last Mile. We are an Operations org that hires and manages associates to deliver packages next day and sub-same day. Our key vision is to transform the online experience by enabling ultra-fast delivery at lower cost possible. We’re growing in scale and volume, by orders of magnitude. The Execution and Planning Science-Engineering (EPSE) team sits within NA AMZL Supply Chain with the mission to build world-class automated Science-Tech products that enable ultra-fast delivery speeds for Amazon customers and job market opportunities for Amazon associates. We are team of Scientists, Engineers and Tech leaders who invent and implement scalable algorithms for automated decision making in the Operations space.

We are looking for an Applied Scientist to contribute to the future of Last Mile associate labor planning. Work will include advising on evolving flexible labor planning programs, optimizing our supply chain network, providing data-driven strategies to improve cost, reliability or speed. Designing, implementing and evaluating experiments, and measuring impact. Work will feed strategic analyses and also be part of production systems.

Experience needed in Optimization and Statistics/ML.

Key job responsibilities

As an Applied Scientist, you’ll design, model, develop and implement state-of-the-art models and solutions. As part of your role you will regularly interact with software engineering teams and business leadership.

**Basic Qualifications**

-  3+ years of building models for business application experience

-  PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

-  Experience in patents or publications at top-tier peer-reviewed conferences or journals

-  Experience programming in Java, C++, Python or related language

-  Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

**Preferred Qualifications**

-  Experience using Unix/Linux

-  Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 172,400.00 - 223,400.00 USD annually

USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually

Applied Scientist, Execution and Planning Science

**Overview**

The **AI Frontiers ** lab at **Microsoft Research ** is charted with ambitious research goals for advancing **Artificial Intelligence (AI **) capabilities in several key areas including modeling, algorithms, reasoning and agentic AI. Our lab offers a vibrant environment for cutting-edge multidisciplinary research, including an open publication policy and close links to top academic institutions around the world.

This Research Engineer position is a unique opportunity to contribute towards tackling some of the hardest and most rewarding challenges in AI. You will help develop novel ideas in bleeding edge reinforcement learning research as well as help evolve our pre-training, mid-training, and post-training codebases that gave birth to famous models such as Phi establishing many new records. You will collaborate with researchers and engineers across many disciplines to help advance the state of the art in reasoning and agentic AI.

Our lab provides opportunities for experimentation and access to diverse array of real-world problems and data along with potential to ship your research to over billion Microsoft customers. At AI Frontiers we strive to expand the pareto frontier of AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Our projects include Phi, Orca, AutoGen, Eureka, OmniParser, Magentic-One, Magentic-UI, Dion, Belief State Transformers among many others.

Our ongoing research areas encompass but are not limited to:

- Pre-training: language models, action models and multimodal models

- Mid-training: long context extension

- Post-training: e.g., Instruction tuning and reinforcement learning from feedback

- Reasoning: Enabling LLMs to scale inference time compute via reinforcement learning

- Action Models: Trailing models capable of taking action in the digital world (e.g. computer use and web agents)

- Orchestration and multi-agent systems: automated orchestration between multiple agents incorporating collaboration, human feedback and oversight

If your skills and interests intersects any of these areas, please apply today and join us in this amazing journey!

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

**Responsibilities**

- As a Research Engineer in AI Frontiers, you will design, develop, execute, and implement technology research projects in collaboration with other researchers, engineers, and product groups.

- As a member of a word-class research organization, you will be a part of research breakthroughs in the field and play a crucial role in developing, improving, and exploring the capabilities of Large Language Models (LLMs), reasoning and agentic AI.

- Embody our culture and values.

**Qualifications**

**Required Qualifications **

- Bachelors in Computer Science or relevant field AND 2+ years related experience

- OR Master's Degree in Computer Science or related field AND 1+ year(s) related experience

- OR Doctorate in Computer Science or related field

- OR equivalent experience

- 1+ year(s) experience developing with Python and Pytorch/JAX.

**Preferred Qualifications**

- Familiarity with architecture and optimizations for large language models.

- Hands-on work in debugging and profiling Pytorch distributed code.

- Basic understanding of working of CUDA kernels.

- Familiarity with pre-training, mid-training and/or post-training pipelines for language and/or multimodal models.

- Foundational understanding of reinforcement learning and key challenges in the field.

- Experience with verl, Ray, Megatron and/or vLLM is a significant plus.

- Any experience in building scalable services can be highly complementary.

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommodations. **

Research Engineer - Generative AI - AI Frontiers

**Overview**

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

The Systems Research Group in Microsoft Research is devoted to advancing the state of the art in distributed systems and operating systems. Our aim is to make systems verifiably correct, scalable, fault-tolerant, manageable, fast and efficient. We work on a wide range of infrastructure systems, including data center operating system, serverless infrastructure, machine learning serving infrastructure, storage systems, etc. Further information on current research projects is listed on the group’s website: https://www.microsoft.com/en-us/research/group/systems-research-group-redmond/

**Responsibilities**

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

**Qualifications**

**Required Qualifications**

- Currently enrolled in a PhD program in computer science or a related STEM field.

**Other Requirements**

- Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.

- In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

**Preferred Qualifications**

- Experience with systems programming.

The base pay range for this internship is USD $6,710 - $13,270 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,760 - $14,360 per month.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommodations. **

Research Intern - MSR Systems Research Group - Redmond

**Description**

Are you ready to get in on the ground floor of Amazon’s long-term initiative to design, launch and maintain a constellation of Low Earth Orbit satellites to provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world?

It’s Day 1 for Amazon’s next billion dollar business and we are looking for an entrepreneurial minded Senior Financial Analyst to work in a start-up environment who is passionate about technology, manufacturing and FP&A, who thinks/acts globally, and has the ability to create and implement solutions, processes and controls.

Amazon Leo seeks a Senior Financial Analyst to support Multimodal Logistics and Warehousing. You will have the responsibility for consolidating financial information, forecasting, reporting and analysis and will partner with the team that is designing the global logistic network to deliver terrestrial and orbital infrastructure. Success in this role will partner with and influence business owners. The successful candidate will need to be strategic, analytical, and have the demonstrated ability to work effectively with cross-functional teams in a start up like environment.

Key job responsibilities

-  Create effective business partnerships, manages competing priorities, and provides investment guidance based on data analysis during unexpected events.

-  Present financial summaries and business insights to Senior Management (Business and Finance).

-  Develop and implement long range business planning.

-  Develop financial models for new business concepts and resulting financial impact to help drive data driven decision making.

-  Build out and enhance P&L models for new and existing businesses, develop business insights and KPI dashboards, and lead ad hoc analyses.

-  Work with big data and transforming it into insights and information.

-  Lead automation efforts of critical processes.

-  Identify opportunities to resolve defects proactively. Improves, scales, or simplifies finance tools across teams and organizations.

-  Participate in Finance initiatives, including but not limited to process improvements, ad hoc analyses, and preparation of periodic reporting activities.

**Basic Qualifications**

-  3+ years of tax, finance or a related analytical field experience

-  Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

**Preferred Qualifications**

-  Experience in financial modeling, P&L management or analysis

-  Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)

-  3+ years of delivering cross functional projects experience

-  3+ years of working cross functionally with tech and non-tech teams experience

-  3+ years of positions that require analysis and reporting financial results experience

-  Experience communicating results to senior leadership, or experience in multiple finance and accounting roles

-  Experience communicating results to senior leadership, or experience in building financial and operational reports/data sets that inform business decision-making

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 82,700.00 - 117,100.00 USD annually

USA, WA, Redmond - 82,700.00 - 117,100.00 USD annually

**Company ** - Amazon.com Services LLC

Job ID: A3137015

Senior Financial Analyst, Amazon Leo

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