AI ML Engineering Jobs in New York
AI ML Engineering jobs in New York are among the most active in the country, concentrated in finance, media, healthcare technology, and enterprise software, with openings from junior engineers through principal and staff-level roles. The greatest density of hiring is in New York City, with additional activity in Buffalo and Albany, where institutions are expanding data and automation functions. Established employers with deep roots in the state include JPMorgan Chase, IBM, and Memorial Sloan Kettering, and the most in-demand specialties are large language model development, MLOps infrastructure, and applied machine learning for financial and clinical systems. Find a role that fits below and apply directly.
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Join a team that consists of an intellectually diverse team of economists, statisticians, engineers, and other analytics professionals, focused on applied AI and quantitative modeling.
As an Applied AI ML Senior Associate, within the Consumer Business Modeling team you will utilize cutting edge quantitative and computational techniques and leverage one of the world's largest repositories of consumer data.
Job Responsibilities:
- Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
- Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations.
- Contribute to the full modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative and statistical analysis of large datasets, and communicating results.
- Develop presentations to summarize and communicate key messages to senior management, sponsors and colleagues.
- Become a subject matter expert and trusted advisor in the statistical, optimization and/or machine learning modeling discipline.
Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group.
Required Qualifications, Capabilities, and Skills:
- Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics, or equivalent quantitative field. Ph.D. is a plus.
- Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
- Experience in developing machine learning, optimization, and/or statistical models to solve real world problems (e.g. Classification, Regression, Recommender Systems, Natural Language Processing, or Neural Language Modeling).
- Proficiency in at least one programming language is required, with Python preferred.
- Strong analytical, interpretive, and problem-solving skills, with demonstrated ability of thinking outside the box.
- Significant experience working with very large scale (structured and unstructured) data.
Preferred Qualifications, Capabilities, and Skills:
- Familiarity with big-data environments (e.g. Hadoop, Spark).
- Model development experience on a cloud development platform.
- Banking & Financial Services background or experience.
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
ABOUT THE TEAM
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.
See All 11 AI ML Engineering Jobs in New York
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Find AI ML Engineering JobsAI ML Engineering Jobs by City in New York
Where New York roles are concentrated, by current openings.
AI ML Engineering Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
What New York Employers Look For
The qualifications that appear most often in AI ML engineering jobs across New York.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and core machine learning frameworks such as TensorFlow or PyTorch
- Hands-on experience designing and deploying production-grade ML models at scale
- Familiarity with cloud platforms including AWS, Google Cloud, or Azure ML services
- Experience with MLOps practices, model monitoring, and CI/CD pipelines for ML systems
- Strong communication skills to present model results and trade-offs to non-technical stakeholders
AI ML Engineering Jobs in New York: Frequently Asked Questions
How do you become a ai ml engineering in New York?
Most ai ml engineering roles in New York require at least a bachelor's degree in computer science, applied mathematics, or a closely related field, with a master's degree preferred at larger employers. There is no state-issued license for this role in New York. Employers in finance and healthcare typically require demonstrated experience with production ML systems, and building a portfolio of deployed projects or contributing to open-source work significantly strengthens a candidacy in the New York market.
Which companies hire ai ml engineerings in New York?
Employers hiring ai ml engineerings in New York right now include JPMorganChase, CVS Health, and EvolutionIQ, based on current listings on Migrate Mate as of September 2026. New York's concentration of financial institutions, major hospital networks, and global media companies means demand comes from a wide range of industries beyond pure technology firms.
Which New York cities have the most ai ml engineering jobs?
New York and Albany have the most ai ml engineering openings in New York. New York City dominates by volume because of its density of investment banks, insurance companies, and health systems, while any openings in Buffalo or Albany tend to be driven by university research partnerships and state government technology initiatives.
Are there remote ai ml engineering jobs in New York?
Yes, and more than most fields. About 33% of ai ml engineering openings tied to New York are remote or hybrid as of September 2026, reflecting the fact that most of this work is done on cloud infrastructure rather than on-site hardware. Model development, experimentation, and data pipeline work are the functions most commonly offered fully remotely.
How can I get hired as a ai ml engineering in New York with little or no experience?
The most realistic entry path is through a machine learning or data engineering associate role at a large New York employer such as a major bank, insurance company, or hospital system, many of which run new-graduate rotational programs in their technology divisions. Building a portfolio of end-to-end projects on public datasets, contributing to open-source ML libraries, and completing a recognized certification in cloud ML services gives candidates a concrete edge. Adjacent roles in data analytics or software engineering at New York firms are also a common stepping stone into dedicated ML positions.
Where can I find and apply to ai ml engineering jobs in New York?
You can find and apply to ai ml engineering jobs in New York on Migrate Mate, which lists current openings from employers hiring in the state right now. Find roles that fit your background and apply directly from the listing.
See All 11 AI ML Engineering Jobs in New York
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