Generative AI ML Engineer (Applied)

Next Frontier Capital; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase is seeking an Applied AI ML Senior Associate to design, develop, and productionize ML and DL solutions, including generative AI use cases for multiple business lines. You will partner with product and engineering to turn business needs into reliable models, workflows, and platform capabilities.

You will contribute to a scalable platform approach, with strong standards for performance, quality, and usability, guiding experiments to production-ready results across teams.

Qualifications

• MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 2 years of applied machine learning experience.
• At least 4 years' experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.
• At least 2 years’ experience in applying data science, ML techniques to solve business problems.
• Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
• Hands-on experience with machine learning and deep learning methods.
• Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
• Experience in advanced applied ML areas such as GPU optimization, fine tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search), and agentic systems.
• 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

Responsibilities

• Serves as a subject matter expert on a wide range of ML techniques and optimizations.
• Provides in-depth knowledge of ML algorithms, frameworks, and techniques.
• Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
• Conducts experiments to evaluate and benchmark latest AI and agents techniques, analyzing results, tuning models.
• Provides 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.
• Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with engineering teams to deliver tailored, science and technology-driven solutions.
• Integrates Generative AI within the Agent Platform using state-of-the-art techniques.

Skills

Applied ML experience

Python

Java

C/C++

NLP & LLMs

PyTorch

TensorFlow

AWS SageMaker

EKS

GPU optimization

Fine-tuning / Embeddings

Agentic systems

End-to-end production code

Education

MS or PhD in CS/ML or related field

Tools

PyTorch

TensorFlow

AWS SageMaker

EKS

Python

Job description

JPMorganChase is seeking an Applied AI ML Senior Associate to design, develop, and productionize ML and DL solutions, including generative AI use cases for multiple business lines. You will partner with product and engineering to turn business needs into reliable models, workflows, and platform capabilities.

You will contribute to a scalable platform approach, with strong standards for performance, quality, and usability, guiding experiments to production-ready results across teams.