Applied AI ML [Multiple Positions Available]

J.P. Morgan; New York (NY); On-site; USD 183,000 - 260,000; Full time

Benefits offered by this job

Health care coverage

Retirement savings plan

Tuition reimbursement

Job summary

J.P. Morgan seeks a senior AI/ML specialist to lead end-to-end modeling lifecycles and coordinate cross-functional teams in architecting scalable AI agents and Generative AI solutions.

You will develop communications for senior management and ensure governance and Responsible AI compliance while mentoring junior engineers.

Qualifications

• Master's degree in data science/CS or related field plus four years of experience.
• Proficiency coding in Python, Java, C#, and R with NN architectures using PyTorch/TF/JAX.
• Experience with real-time inference pipelines and deploying models on SageMaker/EKS/ECS.
• Proficient with big data tools: OpenSearch, Spark, EMR; data warehousing with Databricks, Snowflake, S3.
• Knowledge of RAG, knowledge graphs, and vector databases; Gen AI/Agentic AI concepts.
• Experience modernizing ML workflows and enabling multi-agent systems is a plus.
• Improving transcription robustness with multimodal data is valued.

Responsibilities

• Drive end-to-end modeling lifecycle, defining objectives and key variables.
• Coordinate cross-functional teams to architect AI agents and Generative AI solutions.
• Develop presentations to communicate findings to senior management.
• Ensure governance, risk, and Responsible AI policy adherence.
• Mentor junior team members and build technical expertise.

Skills

Python

Java

C#

R

PyTorch

TensorFlow

JAX

SageMaker

OpenSearch

Spark

EMR

Databricks

Snowflake

Knowledge graphs

RAG

Multi-agent systems

Gen AI

Education

Master's degree in Data Science/CS or related field

Tools

OpenSearch

Spark

EMR

Databricks

Snowflake

SageMaker

Job description

DESCRIPTION

Duties: Drive the end to end modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative analysis, and writing and maintaining code. Coordinate cross-functional engineering teams to architect and implement scalable AI Agents, Agentic workflows, and Generative AI solutions. Develop presentations to communicate key findings, business metrics, and strategic recommendations to senior management and stakeholders. Responsible for adherence to model governance, change management, risk, and Responsible AI policies and procedures. Connect with industry participants to remain aware of active scientific research and adapt to our design principles. Build and Maintain vendor relationships and support external outreach efforts. Mentor junior team members on building technical expertise.

QUALIFICATIONS

Minimum education and experience required: Master's degree in Data Science, Computer Science, or related field of study plus four (4) years of experience in the job offered or as Applied AI ML, Applied Scientist, Data Scientist, or related occupation.

Skills Required: This position requires four (4) years of experience with the following: Coding in Python, Java, C#, and R; Building, training, and deploying neural network architectures including Transformers, CNN, and LSTM using PyTorch, TensorFlow and JAX; Pre-training, fine-tuning, and deploying domain specific neural models using user transcript and conversational data; Developing real-time and high-throughput concurrent inference pipelines and deploying customized language models using EKS, ECS, and SageMaker; Implementing production facing code for Big Data analytics using OpenSearch, Spark, and EMR; Data warehousing and data lake management using Databricks, Snowflake, and S3; Designing and conducting statistical modeling and A/B testing to measure, assess, and optimize model performance; Architecting advance natural language search and retrieval system such as RAG, knowledge graph, or vector databases. This position requires two (2) years of experience with the following: Modernizing legacy machine learning workflows and migrating to Gen AI solutions; Creating foundational capabilities to support, optimize, and scale Agentic AI solutions such as MCP, A2A, or multi-agent system. This position requires one (1) year of experience with the following: Enhancing transcription and phonetic errors robustness in downstream ASR and speech-to-text applications by leveraging multimodal data across audio, text, and image modalities such as Joint Latent Space Embeddings.

Job Location: 277 Park Ave, New York, NY 10172.

Full-Time. Salary: $183,000.00-$260,000.00 per year.

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. Drive the end to end modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative analysis, and writing and maintaining code.