With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
 
We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services.

Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms

© 2024 JPMorgan Chase & Co. All rights reserved. JPMorganChase is an Equal Opportunity Employer, including Disability/Veterans.

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

JPMorganChase

Savvy Admin PROD

**Description**

**JOB DESCRIPTION**

Duties: Build and train production-grade Machine Learning on large-scale datasets to solve various business use cases for Global Banking. Use large scale data processing frameworks for feature engineering and be proficient across various data, both structured and unstructured. Use Deep Learning models and Generative AI techniques for solving various business use cases including multi-source data fusion, information retrieval, question-answering, forecasting and anomaly detection. Build ML models across Public and Private clouds including container-based Kubernetes environments. Develop end-to-end ML pipelines necessary to transform existing applications and business processes into robust Artificial Intelligence systems. Build both batch and real-time model prediction pipelines with existing application and front-end integrations. Collaborate to develop large-scale data modeling experiments, evaluating against strong baselines, and extracting key statistical insights and cause and effect relationships.

**Qualifications**

Minimum education and experience required: Bachelor's degree in Computer Engineering, Computer Science, Information Systems, Data Science, Artificial Intelligence, Machine Learning, or related field of study plus 3 years (36 months) of experience in the job offered or as Applied AI ML Associate, Software Engineer, Software Engineering Program Analyst, or related occupation. The employer will alternatively accept a Master's degree in Computer Engineering, Computer Science, Information Systems, Data Science, Artificial Intelligence, Machine Learning, or related field of study plus 1 year (12 months) of experience in the job offered or as Applied AI ML Associate, Software Engineer, Software Engineering Program Analyst, or related occupation.

Skills Required: This position requires experience with the following: Managing and transforming structured and unstructured data using Pythonic implementations of normalization, aggregation, data cleaning, enrichment, entity extraction, or sentiment analysis; Validating data quality and completeness; Implementing anomaly detection methods and building robust, reusable features for AI/ML teams; Conducting data analysis, modeling, and engineering tasks required in end-to-end AI/ML solution design and implementation using Python, SQL, and PySpark; Exploring, visualizing, and analyzing data to create and validate proof-of-concept AI/ML engineering solutions; Applying machine learning and statistical techniques including regression, classification, clustering, time series analysis, dimensionality reduction, and mathematical optimization to address business challenges; Developing, evaluating, and training AI/ML models, taking ownership of the full implementation lifecycle including hyperparameter tuning, model selection, and performance evaluation; Writing optimized code in SQL, Spark, and Python leveraging cloud technologies and cloud analytics platforms; Designing and deploying scalable, distributed statistical and AI/ML models in production environments using containerization and CI/CD pipelines; Building and maintaining end-to-end data pipelines for model deployment and operationalization, with embedded performance monitoring; Communicating, documenting, and presenting machine learning results and insights to non- technical audiences; Delivering AI/ML solutions with cross-functional teams such as Data Engineering, Model Operations, or Design; Conducting research and development work to evaluate emerging AI/ML methods, algorithms, and best practices; Translating academic research into use- case specific implementations and practical solutions; Demonstrating proficiency in MLOps practices, model monitoring, automated retraining, data privacy and compliance in AI/ML workflows, version control systems, RESTful API development for model serving, distributed computing frameworks, and experiment tracking tools.

Job Location: 3223 Hanover St, Palo Alto, CA 94304.

Full-Time. Salary: $177,500 - $260,000 per year.

**About Us**

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

**About The Team**

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Applied AI ML [Multiple Positions Available]

DataVisor is the world’s leading fraud and risk management platform that enables organizations to respond to fast-evolving fraud attacks and mitigate risks as they happen in real time. Its comprehensive solution suite combines patented machine learning technology with native device intelligence and a powerful decision engine to provide protection for the entire customer lifecycle across industries and use cases. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Industry: Software Development
Company Size: 51-200 employees

DataVisor

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time.

Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide a significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership compared to legacy point solutions.

DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven.

Come join us!

Position Overview

We are looking for a Director of Product Marketing to lead and scale our product marketing function for DataVisor's fraud and AML (FRAML) platform. This leader will set the vision, strategy, and operating model for Product Marketing, driving clear differentiation in a highly competitive and regulated market.

In this role, you will partner closely with Product, Sales, Customer Success, and rest of the Marketing team to define our go-to-market strategy, craft compelling narratives, and orchestrate high-impact product launches. You will build and mentor a high-performing product marketing team, align the organization around the voice of the customer, and ensure our commercial teams are equipped to win.

The ideal candidate has deep experience launching new products and features in B2B SaaS or fintech, thrives in fast-moving environments, and is comfortable operating at both strategic and hands-on levels.

Key Responsibilities

- Own the global product marketing strategy across solutions, segments, and industries (e.g., banks, credit unions, fintechs), including positioning, messaging, and differentiation

- Lead and develop the Product Marketing function, building a high-impact team and defining processes, standards, and best practices for how PMM partners with Product, Sales, and Customer Success

- Craft compelling product narratives that clearly articulate DataVisor's differentiated value proposition and strengthen our leadership in fraud, risk, and AML

- Oversee high-impact product and feature launches, building integrated go-to-market plans that span marketing, sales, and customer success from strategy through execution and post-launch optimization

- Drive market and competitive intelligence, synthesizing customer insights, buyer behavior, competitive moves, and industry trends to inform product strategy, pricing/packaging, and GTM priorities

- Lead commercial enablement at scale, ensuring Sales and Customer Success have the content, tools, and training (pitch decks, battlecards, ROI stories, playbooks) to accelerate adoption and revenue

- Partner with Product leadership to align product roadmaps with customer and market needs, influencing prioritization with data-backed insights and clear business cases

- Own customer and buyer segmentation and personas, mapping end-to-end buyer journeys and informing targeted campaigns, account-based motions, and vertical plays

- Define and track PMM success metrics, reporting on the impact of launches, messaging, and enablement on pipeline, win rates, product adoption, and expansion

- Act as an external evangelist, representing DataVisor at customer meetings, events, webinars, and with analysts and partners, reinforcing our market point of view

- Collaborate cross-functionally with Demand Generation, Field Marketing, and Sales to ensure cohesive storytelling and consistent execution across all channels and regions

**Requirements**

- 10+ years of experience in B2B SaaS product marketing or product management, with meaningful leadership experience building or leading a Product Marketing or GTM team

- Proven track record of defining product marketing strategy and successfully launching products and features with measurable business impact on pipeline, revenue, and adoption

- Deep understanding of customer and buyer journeys in complex, technical environments

- Demonstrated success partnering with Sales, Product, and Customer Success leadership, influencing roadmap, pricing/packaging, and GTM priorities at the executive level

- Exceptional storytelling and communication skills, with the ability to distill complex technical capabilities into clear, compelling narratives for executives and practitioners

- Highly analytical and strategic, comfortable using data, customer research, and competitive insights to shape strategy and make trade-off decisions

- Experience building and scaling a PMM function, including hiring, mentoring, and developing high-performing team members

- Comfortable operating in a fast-paced, high-growth, and often ambiguous environment, with a strong bias for action and ownership

- Bachelor's degree required; MBA or advanced degree in a relevant field is a plus

- Bonus: Experience in regulatory technology (RegTech), risk management, or fraud/AML solutions, and familiarity with AI, big data, and cloud-based platforms

**Benefits**

- Health Care Plan (Medical, Dental & Vision)

- Retirement Plan (401k, IRA)

- Life Insurance (Basic, Voluntary & AD&D)

- Paid Time Off (Unlimited PTO, Sick & Public Holidays)

- Short-Term & Long-Term Disability

- Catered Lunch and Dinner (in-office days)

- Stock Option Plan

Director of Product Marketing

Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.

Industry: Software Development
Company Size: 5,001-10,000 employees

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Build the future of data. Join the Snowflake team.

The Snowflake Machine Learning Platform team’s mission is to enable customers to bring their machine learning and deep learning workloads to Snowflake. Our customers want to build powerful models with the ever-increasing data in Snowflake but face several challenges including infrastructure optimizations, orchestration, performance, and security. The team aims to solve these challenges by building highly integrated platform solutions that are simple, secure, and enable end-to-end ML workflows. We are on an early journey to build the most scalable machine learning and data platform without sacrificing the benefits of a single platform and governance.

We are looking for outstanding technical leaders who will join our ML Platform team to build the next-generation platform and play a pivotal role in this journey by understanding Snowflake’s core platform architecture and evolving it to enable state-of-the-art machine learning and LLM workloads. Join us to define strategies, set technical directions, design and execute, engage and deliver innovation, and unlock the power of AI for thousands of enterprise customers. This position is based in Menlo Park, CA, and Bellevue, WA.

**RESPONSIBILITIES **:

- Help define and own the roadmap, working collaboratively and proactively with senior architects, PMs, and team leadership. The initiatives include platforms and tools that enable customers to do state-of-the-art machine learning on Snowflake natively.

- Collaboratively build and execute a vision for incorporating new advances in machine learning in ways that best achieve the team’s business objectives.

- Ensure operational excellence of the services and meet the commitments to our customers regarding reliability, availability, and performance.

- Collaborate across other ML partner teams to continuously improve ML development velocity and capabilities at Snowflake.

- Support team members in delivering a high level of technical quality.

**IDEAL REQUIREMENTS & QUALIFICATIONS:**

- Have 7+ years of industry experience designing, building, and supporting Internet serving infrastructure, machine learning platforms, machine learning services, and frameworks.

- Strong track record of working with machine learning systems and/or platforms.

- Experience in serving LLMs using inference engines like vLLM, TensorRT-LLM, TEI, SGLang, and knowing tradeoffs between them.

- Experience serving fine-tuned LLMs (PEFT, DPO, RL).

- Experience with several of the following frameworks: SKLearn, XGBoost, PyTorch, Tensorflow, MLflow is a plus.

- Previous experience in building batch and real-time ML serving systems preferred.

- Have built a roadmap and vision around machine learning teams, and led technical decision making with help of architects and PMs and team.

- BS/MS/PhD in Computer Science or related majors, or equivalent experience

~~Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.~~

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

The following represents the expected range of compensation for this role:

-  The estimated base salary range for this role is $236,000 - $339,250.

- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

Senior/Staff Software Engineer - Machine Learning Platform (Inference)

At MAI, we are pioneering the future of what AI and consumer technology can be.

Industry: Software Development
Company Size: 5,001-10,000 employees

Microsoft AI

**Overview**

As a Member of Technical Staff - Machine Learning, you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to create SOTA foundation models and support Microsoft products and the Cloud API. We’re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment.

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

**Microsoft Superintelligence Team**

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a **startup-like team inside Microsoft AI **, created to push the boundaries of AI toward**Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. ** Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

**Responsibilities**

- Own and pursue a research agenda to improve model capability and performance for agentive application.

- Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities.

- Build robust evaluations for tracking modeling improvements.

- Design, implement, test, and debug code across our research stack.

**Qualifications**

**Required Qualification**

- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

- OR equivalent experience.

**Preferred Qualification**

- Master's degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience .

- Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field and experience in (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).

Software Engineering 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

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. **

Member of Technical Staff - Machine Learning (AI Team)

Find Machine Learning jobs in Mountain View, CA with Savvy's AI Recruiter. Browse opportunities from top companies and get matched with roles that match your skills using our intelligent recruitment system.