Applied AI/ML Lead: From Experiment to Production

Fairygodboss; Palo Alto (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorganChase in Palo Alto is seeking an Applied AI and Machine Learning Lead to design and deliver scalable ML and deep learning solutions across the AI, Data Platform, and Corporate sectors.

You will own problem framing, experimentation, and productionization, mentoring engineers and advancing engineering practices to raise the technical bar. This role emphasizes robust, measurable outcomes and collaboration with product and data teams.

Qualifications

• MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 5 years of applied machine learning experience.
• At least 5 year's experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.
• At least 5 years' experience in applying data science, ML techniques to solve business problems.
• Solid background in Large Language Models (LLMs) and agentic applied science such as multi-agent orchestration, reasoning, skills, tools.
• Experience with applied research and experimentation on machine learning and deep learning methods (including LLMs/GenAI).
• Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
• Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search), reasoning, context management, and other advanced agentic capabilities.
• Ability to work on tasks and projects through to completion with limited supervision.
• Passion for detail and follow through. Excellent communication skills and team player
• Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners.

Responsibilities

• Serve as a subject matter expert on a wide range of ML techniques and optimizations.
• Provide in-depth knowledge of ML algorithms, frameworks, and techniques.
• Enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
• Conduct experiments to evaluate and benchmark latest AI and agentic techniques, analyzing results, tuning models and agentic systems.
• Hands on coding to bring the experimental results into production solutions by collaborating with engineering team. Owning end to end code development in python for both proof of concept/experimentation and production-ready solutions.
• Optimizing system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions.
• Integrate Generative AI within the ML Platform using state-of-the-art techniques.
• Drives decisions that influence the product design, application functionality, and technical operations and processes.

Skills

ML Techniques

Python

Data Science

LLMs

Leadership

Communication

Problem Framing

Experimentation

Education

MS/PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

AWS SageMaker

EKS

Job description

JPMorganChase in Palo Alto is seeking an Applied AI and Machine Learning Lead to design and deliver scalable ML and deep learning solutions across the AI, Data Platform, and Corporate sectors.

You will own problem framing, experimentation, and productionization, mentoring engineers and advancing engineering practices to raise the technical bar. This role emphasizes robust, measurable outcomes and collaboration with product and data teams.