OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit.

To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership.

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Industry: Research Services
Company Size: 201-500 employees

OpenAI

Savvy Admin PROD

**About The Team**

The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models towards their deployment in the real world.

OpenAI’s charter calls on us to ensure the benefits of AI are distributed widely. Our Health AI team is focused on enabling universal access to high-quality medical information. We work at the intersection of AI safety research and healthcare applications, aiming to create trustworthy AI models that can assist medical professionals and improve patient outcomes.

**About The Role**

We’re seeking strong researchers who are passionate about advancing AI safety and improving global health outcomes. As a Research Scientist, you will contribute to the development of safe and effective AI models for healthcare applications. You will implement practical and general methods to improve the behavior, knowledge, and reasoning of our models in these settings. This will require research into safety and alignment techniques that we aim to generalize towards safe and beneficial AGI.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

**In This Role, You Will**

- Design and apply practical and scalable methods to improve safety and reliability of our models, including RLHF, automated red teaming, scalable oversight, etc.

- Evaluate methods using health-related data, ensuring models provide accurate, reliable, and trustworthy information.

- Build reusable libraries for applying general alignment techniques to our models.

- Proactively understand the safety of our models and systems, identifying areas of risk.

- Work with cross-team stakeholders to integrate methods in core model training and launch safety improvements in OpenAI’s products.

**You Might Thrive In This Role If You**

- Are excited about OpenAI’s mission of ensuring AGI is universally beneficial and are aligned with OpenAI’s charter.

- Demonstrate passion for AI safety and improving global health outcomes.

- Have 4+ years of experience with deep learning research and LLMs, especially practical alignment topics such as RLHF, automated red teaming, scalable oversight, etc.

- Hold a Ph.D. or other degree in computer science, AI, machine learning, or a related field.

- Stay goal-oriented instead of method-oriented, and are not afraid of unglamorous but high-value work when needed.

- Possess experience making practical model improvements for AI model deployment.

- Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

- Are a team player who enjoys collaborative work environments.

- Bonus: possess experience in health-related AI research or deployments.

**About OpenAI**

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $295K - $445K

Researcher, Health AI

ERA-co is a global place consultancy that harnesses the power of data and analytics to unlock the true potential of neighborhoods, towns and cities. Operating in the space between urbanism, business and creativity, we explore the dynamic interactions between people and place to design truly human-centric experiences.

Industry: Business Consulting and Services
Company Size: 51-200 employees

ERA-co

**Who We Are **

ERA-co is a new global Experience Agency made up of data scientists, strategists and experience designers who lead transformative strategy to shape cities, neighborhoods and destinations to positively impact the lives of people and the places they inhabit. With offices in New York, San Francisco, Melbourne, Sydney, London and Dubai, our global ambitions have only just begun.

Our clients and projects range from branding single residential buildings to positioning and leading experiences of major urban masterplans, mixed-use developments, to globally famous civic places. While the work is diverse, they all start from a singular belief; that transformative placemaking has the power to advance humanity.

Our collective operates in the rare space between creativity and consulting. We are assembled into three distinct verticals; Brand Experience, User Strategy (UX) and Urban Strategy & Planning (USP). Working as one group we are always on the lookout for people who can flex between these disciplines, who are aligned with our brand and passionate about the creating sustainable places.

ERA-co is part of the 7C Network. The 7C Network is an integrated network of design and architecture companies that provides “Total Place Design,” a holistic approach to creating transformative environments. It combines capabilities from its constituent brands - including Woods Bagot, ERA-co, Impact Futures, and Customs Bureau - to offer services in placemaking, sustainability, architecture and interior design, and luxury concepts.

**So, Who Are You? **

This role is ideal for early-to-mid career stage professionals with approximately 3–6 years of post-graduate experience. The User Strategy team has been engaged for a major long-term workplace strategy project with a global company. Initially, this role will focus on supporting this specific project, with opportunities to take on additional clients over time. We need someone agile, and capable of not only building capability and relationships with our team and our collaborative partners, but also helping us build brand recognition in the region.

Whilst the User Strategy studio is a relatively small unit, we work with the wider ERA-co team and often partner with the Woods Bagot global network. We work flexibly, but regular time in the office will be required. We are looking for people with a growth mindset who are comfortable with in the presence of ambiguity and take initiative to gain clarity and create a path forward.

**Key Requirements: **

- Collaborate with the global client project team, as well as the User Strategy and ERA-co teams across San Francisco, New York, London, Australia, and other global locations, to deliver high-quality consulting outcomes.

- Support the overall project lead in implementing projects, ensuring a high level of innovation, best-practice delivery, and a client-centric mindset. Manage business risks and identify opportunities for future and downstream work.

- Work effectively with geographically dispersed client and internal teams to maintain strong communication and collaboration.

- Demonstrate strong facilitation skills, including leading workshops, conducting interviews, delivering presentations, and hosting team briefings, town halls, and forums.

- Contribute to growing internal and client knowledge through report writing, development of workplace and amenity strategies, and preparation of research summaries.

- Apply strategic foresight to identify emerging trends, lead visioning activities, conduct benchmarking studies, and map paths to change.

- Undertake data analysis, including existing building condition assessments, space demand modeling, and growth projection analysis.

- Translate complex datasets into clear, actionable insights that inform strategic decision-making.

- Build and maintain long-term client relationships through articulate, high-level conversations that support project success and organic business growth.

- Participate in local and international travel as required.

- Share knowledge and collaborate with local and global teams through regular catch-ups, project meetings, and knowledge-sharing sessions.

- Conduct desktop research and contribute to thought leadership initiatives.

- Prepare high-quality deliverables using Excel, InDesign, PowerPoint, and Word.

**Your Experience: **

- 3-6 years post graduate experience.

- Strong strategy, workplace or amenity experience and passionate about the future of spaces and workplace.

- Academically qualified in a relevant field (architecture, design, business etc.).

**How to Apply **

Applicants are required to submit an up-to-date resume via our ERA-co Strategist LinkedIn job post. Applications will be treated in the strictest confidence. We do not accept unsolicited resumes or names from agencies. All personal data collected by the Company will be kept confidential and only used for recruitment purposes.

**Mandatory requirements: It is an essential requirement that at the time of applying for this position, applicants must have the legal right to work in the United States. **

**Alignment with ERA-co Values **

We’re a small team with big ambitions. We are committed to building a culture dedicated to personal growth and individual expression. Certain attitudes define how we work and are important in what we seek for our culture:

**//HUMAN FIRST – Champion the End User **

We communicate with clarity, free from jargon, to stay in line with real people. We do not get bogged down in the rhetoric. We uphold placemaking as a deeply human endeavor that belongs as much on the street, as it does in the boardroom.

**//PROTAGONISTS – Ask Beautiful Questions **

We champion those with a point-of-view, rather than judging, ridiculing, or side-stepping those who speak up. We encourage every colleague to ask the hard questions, bring the provocative perspective, and dig for the truth.

**//COLLABORATIVE – The Best Ideas are Co-Authored **

We are high on talent and low on ego. With such diversity of experience and talent, we know the work is sharper and more resolved the more people we invite into the process.

**//CURIOUS – Broaden Perspectives **

Place innovation requires an insatiable hunger to stay ahead of culture. We keep a constant global radar to push through complexity and discover new solutions to the world’s most urgent challenges.

**//GRITTY – Preserve for the Sake of Transformative Placemaking **

We roll up our sleeves and dive right in, driving every problem with passion and gritty determination. It is not about being the smartest in the room, but rather staying the course, fighting for ideas, and seeing the long game through.

User Experience Strategist - Workplace

VeeAR Projects Inc is a Technology Consulting & Angel Investing Enterprise headquartered in Silicon Valley, with a globally distributed team across North America and Asia. Established in 2004, VeeAR has been successful in building trusted partnerships with over 100+ clients including Google (Google Cloud), Microsoft, Tenable, Meta, IngramMicro, Chevron, Silicon Valley Bank etc.
• Our Digital Consulting & Technology solutions repertoire are not limited to Digital Strategy & Planning, Platform Modernization, UI/UX modernization, Integration, Security, BI Analytics, IT infrastructure, CI-CD (DevOps/DevSecOps), Virtualization, Enterprise Mobility & Automation.   
•  The Technology/implementation partnership with Anaplan, Tenable, Google Cloud, Snowflake, AWS has contributed to Enterprise Platforms and Business Applications builds.
•  As an Angel Investment firm, we have incubated and scaled products and platform start-ups for Layered Insight, Cloud Virga, Accurics, Garble Cloud etc.
• Our managed services engagements on a global delivery model drives clients with their Sustained Engineering, Application Support & Maintenance needs.
•Our Global Talent Solutions has helped build high powered teams cutting across technology layers (Software, Hardware, Firmware, Semiconductor, Storage, Embedded, Networking), geographies and industry verticals.
•Solvanni and Tekrek Solutions are subsidiaries of VeeAR group companies.

Industry: IT Services and IT Consulting
Company Size: 201-500 employees

VeeAR Projects Inc.

**Job Description: **

The Data Analytics and Insights team is seeking an experienced and talented Snowflake Architect to join our growing team of analytics experts. As a key member of our team, you will play an essential role in the design, development, and maintenance of data pipelines, data products, and analytic products in enterprise snowflake. The ideal candidate will have a strong background in data engineering, with specific expertise in Informatica and Snowflake. This role will involve working closely with our business stakeholders, data analysts, and data scientists to ensure the efficient development and management of our data infrastructure.

You will have a unique opportunity to be at the forefront of the utility industry and gain a comprehensive view of the nation's most advanced smart grid. It is the perfect role for someone who would like to continue to build upon their professional experience and help advance sustainability goals.

**Key Responsibilities: **

- Develop and optimize cloud-based data storage and processing solutions using **Snowflake **.

- Design, implement, and maintain robust data pipelines and **ETL processes **

- Collaborate with Federated teams and other data engineers to understand data requirements and deliver high-quality data solutions.

- Ensure data integrity and security across all data workflows and storage solutions.

- Monitor and troubleshoot data pipelines, addressing any issues promptly to ensure the smooth flow of data.

- Develop reusable and modular **stored procedures ** and scripts for data processing.

- Contribute to the development and implementation of data governance and best practices.

- Monitor and troubleshoot data pipelines to ensure reliability and accuracy.

- Implement best practices for data governance, data quality, and metadata management.

**Minimum Qualifications: **

- Bachelor's or master's degree in computer science, Engineering, or a related field.

- Minimum of 5 years of experience in data engineering or a related role.

- Proven experience with **Snowflake ** is required.

- Knowledge of **data warehousing concepts **, **dimensional modeling **, and **performance tuning **.

- Hands-on experience with **ETL tools ** (e.g., Informatica, Talend, dbt, or custom ETL frameworks).

- Strong proficiency in SQL and database management.

- Experience with cloud platforms such as AWS, Azure, or Google Cloud.

- Familiarity with version control **(Git) and CI/CD ** for data pipelines.

- Familiarity with Big Data technologies such as Hadoop, Spark, and Kafka is a plus.

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration abilities.

**Preferred Skills: **

- Experience with Python or other scripting languages.

- Experience with informatica but not necessary.

- Knowledge of data visualization tools such as Tableau or Power BI.

- Exposure to **data orchestration tools **

Snowflake Architect

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.

The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.

Industry: Internet Marketplace Platforms
Company Size: 10,001+ employees

Uber

**About The Role**

Join the actuarial data team to design and own Uber's insurance data assets to lay the analytical foundation to support priorities that bend the insurance cost curve and drive measurable financial impact across the enterprise. The team sits within Insurance & Science and is responsible for Uber's core insurance data infrastructure - primarily two pillars: the Insurance data store pipeline and loss run data pipelines.

**What The Candidate Will Need / Bonus Points**

---- What the Candidate Will Do ----

-  Architect and maintain Uber's core insurance data infrastructure, specifically focusing on our Insurance Data Store and Loss Run data pipelines.

-  Drive monthly operational excellence by managing the end-to-end rotation of financial reporting and early-month loss run data ingestions.

-  Partner with Actuaries, Data Scientists, and Engineering teams to improve the integrity, reliability, and granularity of insurance data logging and data pipelines.

-  Execute continuous improvement initiatives by migrating legacy processes to modern frameworks to enhance data scalability and accuracy.

-  Develop advanced analytical tools and monitoring systems to identify trends in insurance costs and support long-term risk management priorities.

**Basic Qualifications**

-  Education: B.S. or M.S. degree in a quantitative field such as Math, Statistics, Data Science, Computer Science, Economics, Actuarial Science, or other quantitative fields.

-  Experience: 3+ years of professional experience in a data-focused role (e.g. Data Scientist, Data Engineer, or Actuary).

-  Technical Skills: Strong proficiency in SQL and experience with a scripting language (Python or R) for data manipulation and statistical analysis.

**Preferred Qualifications**

-  ACAS (CAS) designation preferred.

-  Expertise in building automated data pipelines and applying statistical modeling to large-scale datasets.

-  Demonstrated experience with big data frameworks like Spark, Hadoop, or Hive.

-  Previous experience in property and casualty insurance, specifically working with insurance loss data and/or insurance pricing plans.

-  Ability to translate complex data into actionable insights using tools like Tableau, or internal dashboarding frameworks.

For New York, NY-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., For New York, NY-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Data Scientist II, Insurance

Qcells is a renowned complete energy solutions provider in solar cell and module, energy storage, downstream project business and energy retail. It is headquartered in Seoul, South Korea (Global Executive HQ), Thalheim, Germany (Module Technology & Innovation HQ) and San Francisco, USA (Energy Storage/Inverter & Software HQ) with operations all over the world. Through its growing global business network spanning Europe, North America, Asia, South America, Africa and the Middle East, Qcells provides excellent services and long-term partnerships to its customers in the utility, commercial, governmental and residential markets. For more information, visit: http://www.qcells.com/us

Industry: Renewable Energy Semiconductor Manufacturing
Company Size: 501-1,000 employees

Qcells North America

**Description**

**POSITION DESCRIPTION:**

We are seeking an experienced Staff Data Scientist to join our Grid & Energy Analytics team within G&ES. In this role, you will lead the implementation of enterprise-grade microservices that support the real-time optimization and simulation of diverse energy assets participating in U.S. wholesale electricity markets including CAISO, ERCOT, NYISO, ISO-NE, and PJM.

This position will be preferably based out of our Santa Clara, San Francisco, Houston, or Seattle, or Atlanta offices.

**Responsibilities**

- Work closely with Technical Lead to improve microservices including optimization, simulation, and market emulation.

- Drive microservice benchmarking, develop operations metrics, and continuously improve system performance using data-driven insights.

- Own significant software components, including documentation and testing suites, training junior engineers where appropriate.

- Contribute to the next-generation merchant optimization platform, advising on architectural choices, design & implementation.

- Support the Product Manager and Technical Leads in interpreting market requirements into technical solutions, managing work scope, and ensuring timely delivery.

- Serve as a subject matter expert for at least one U.S. ISO/RTO, and mentor engineering team on compliance, settlement, and operational nuances.

- Provide Level 3 support for production issues and actively contribute to operational robustness and scalability.

**Required Qualifications**

- Bachelor’s or Master’s in Computer Science, Engineering, Energy Systems, or related field.

- 7+ years of software development experience, ideally in energy, renewables, or grid-tech sectors.

- Proven experience delivering production-grade software for DERs, energy storage, or grid market participation.

- Strong foundation in wholesale market operations and optimization techniques.

- Proficiency in Python, Kubernetes, microservices architecture, and working with cloud-native deployments.

- Exceptional collaboration and communication skills, with the ability to lead cross-functional initiatives in fast-paced environments.

- Experience interacting with real-time systems, equipment-level controls, or forecasting models for energy assets.

- Travel may be required up to 10%, based on business needs.

**Preferred Qualifications**

- Ph.D. in Operations Research, Engineering, Energy Systems, or related field.

- Deep knowledge of ISO/RTO market participation frameworks, especially CAISO, ERCOT, NYISO, ISO-NE, and PJM.

- Hands-on experience with Azure cloud stack, including deployment pipelines and monitoring tools.

- Experience in CI/CD pipelines, version control (Git), and modern testing frameworks.

- Experience using Julia for optimization problem formulation.

Hanwha Q CELLS Technologies, Inc. a subsidiary of Hanwha Q CELLS, one of the world´s largest and most recognized photovoltaic manufacturers for its high-performance, high-quality solar cells and modules. It is headquartered in Seoul, South Korea (Global Executive HQ) Talheim, Germany (Technology & Innovation HQ) and Santa Clara, CA, USA (HW and SW Product Development HQ). Through its growing global business network spanning Europe, North America, Asia, South America, Africa, and the Middle East, the company provides excellent services and long-term partnerships to its customers in the utility, commercial, government, and residential markets. Hanwha Q CELLS is a flagship company of Hanwha Group, a FORTUNE Global 500 firm and a Top 7 business enterprise in South Korea.

**Physical, Mental & Environmental Demands**

To comply with the Rehabilitation Act of 1973 the essential physical, mental and environmental requirements for this job are listed below. These are requirements ~~normally expected ~~ to perform ~~regular ~~ job duties. Incumbent must be able to successfully perform all of the functions of the job with or without reasonable accommodation.

**Mobility**

Standing

20% of time

Sitting

70% of time

Walking

10% of time

**Strength**

Pulling

up to 10 Pounds

Pushing

up to 10 Pounds

Carrying

up to 10 Pounds

Lifting

up to 10 Pounds

**Dexterity ****(F = Frequently, O = Occasionally, N = Never)**

Typing

F

Handling

F

Reaching

F

**Agility ****(F = Frequently, O = Occasionally, N = Never)**

Turning

F

Twisting

F

Bending

O

Crouching

O

Balancing

N

Climbing

N

Crawling

N

Kneeling

N

The salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. Actual compensation is influenced by a wide array of factors including but not limited to, skill set, education, licenses and certifications, essential job duties and requirements, and the necessary experience relative to the job’s minimum qualifications.

- This target salary range is for CA positions only and should not be interpreted as an offer of compensation.

You may view your privacy rights by reviewing Qcells' Privacy Policy or by contacting our HR team for a copy.

Staff Data Scientist

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