Applied AI ML Senior Associate -AI Agents & Agentic Systems

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

Bring your applied research and machine learning skills to a team building modern, high-impact generative AI capabilities. You’ll work in a collaborative environment where experimentation, engineering excellence, and customer focus come together to deliver real outcomes.

As an Applied AI ML Senior Associate at JPMorganChase within the Applied Artificial Intelligence and Machine Learning Data Platforms team in Corporate Sector, you will help design, develop, and productionize machine learning and deep learning solutions, including generative AI use cases. You will partner closely with product and engineering stakeholders to turn business needs into reliable models, workflows, and platform capabilities. You will contribute to a scalable platform approach that can support multiple business lines while maintaining strong standards for performance, quality, and usability.

Job 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 has 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.

Required qualifications, capabilities, and skills

• 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

Preferred qualifications, capabilities, and skills

• Master’s degree in computer science, ML or related areas
• Experience with agentic development frameworks.
• In-depth understanding of LLM and agentic evaluation and benchmarking methodologies. Experience with ML experimentation at scale.
• Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
• Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
• Experience working with large-scale MLOps pipelines, working with and deploying models to production services.

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.

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

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Build and scale generative AI and machine learning solutions from experiment to production with measurable impact.