AI/ML Researcher Jobs in New York
AI/ML Researcher jobs in New York are concentrated in New York City, with additional hiring in Albany and Buffalo, where IBM, Google, and NYU anchor long-term research programs across natural language processing, computer vision, and reinforcement learning. The New York market is among the most active in the country for this role, with demand reaching from entry-level research engineers through senior scientists and principal investigators. See the openings below and apply to the ones that match your experience.
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Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry-leading financial institution. You will join a team transforming operations by leveraging advancements in agent-based AI and modern generative AI techniques.
As an Applied Artificial Intelligence and Machine Learning Associate at JPMorganChase within the Applied AI Research team in the Commercial & Investment Bank, you will contribute to building autonomous agent systems that solve high-impact business problems. You will help translate business needs into measurable outcomes by supporting applied research, model development, and enterprise-ready delivery. You will work in a collaborative environment that values ownership, learning, and responsible adoption of modern AI.
Job responsibilities
- Build and enhance generative AI and agent-based solutions that support automation of complex operational workflows
- Translate business problems into clear technical approaches, success metrics, and experiment plans with guidance from senior team members
- Develop and test agent workflows (planning, tool-use, and orchestration) to improve task reliability and measurable performance
- Implement reusable components (services, libraries, and reference patterns) that accelerate applied AI delivery across teams
- Execute rigorous evaluation practices, including offline/online testing, error analysis, and quality measurement to drive improvements
- Partner with stakeholders across business and technology teams to gather requirements, communicate tradeoffs, and support production readiness
- Contribute to responsible scaling by considering reliability, security-mindedness, and operational constraints in design and implementation
Required qualifications, capabilities and skills
- Formal training or certification on applied artificial intelligence and machine learning concepts and 2+ years applied experience
- Bachelor's degree in Computer Science, Engineering, Statistics, or a related quantitative field (or equivalent practical experience)
- Hands-on experience building production-grade software in Python, including testing, refactoring, and version control best practices
- Experience applying machine learning methods to real-world problems and evaluating results using clear, reproducible metrics
- Experience deploying or supporting services in a cloud environment with attention to reliability, observability, and latency
- Strong fundamentals in software engineering (data structures, algorithms, and object-oriented design) and applied problem solving
- Strong communication skills and ability to collaborate effectively with technical and non-technical partners
Preferred qualifications, capabilities and skills
- Experience building or evaluating autonomous agent systems (planning, tool-use, orchestration, or multi-agent coordination)
- Experience with cloud-based machine learning platforms, such as Amazon Web Services (AWS) SageMaker or Amazon Bedrock
- Experience building and evaluating large language model solutions using structured evaluation approaches and safety guardrails
- Publications, open-source contributions, or other evidence of applied research impact in machine learning or generative AI
- Familiarity with financial services domains and operational processes, including risk-aware design and production constraints
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
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry-leading financial institution. You will join a team transforming operations by leveraging advancements in agent-based AI and modern generative AI techniques.
As an Applied Artificial Intelligence and Machine Learning Associate at JPMorganChase within the Applied AI Research team in the Commercial & Investment Bank, you will contribute to building autonomous agent systems that solve high-impact business problems. You will help translate business needs into measurable outcomes by supporting applied research, model development, and enterprise-ready delivery. You will work in a collaborative environment that values ownership, learning, and responsible adoption of modern AI.
Job responsibilities
- Build and enhance generative AI and agent-based solutions that support automation of complex operational workflows
- Translate business problems into clear technical approaches, success metrics, and experiment plans with guidance from senior team members
- Develop and test agent workflows (planning, tool-use, and orchestration) to improve task reliability and measurable performance
- Implement reusable components (services, libraries, and reference patterns) that accelerate applied AI delivery across teams
- Execute rigorous evaluation practices, including offline/online testing, error analysis, and quality measurement to drive improvements
- Partner with stakeholders across business and technology teams to gather requirements, communicate tradeoffs, and support production readiness
- Contribute to responsible scaling by considering reliability, security-mindedness, and operational constraints in design and implementation
Required qualifications, capabilities and skills
- Formal training or certification on applied artificial intelligence and machine learning concepts and 2+ years applied experience
- Bachelor's degree in Computer Science, Engineering, Statistics, or a related quantitative field (or equivalent practical experience)
- Hands-on experience building production-grade software in Python, including testing, refactoring, and version control best practices
- Experience applying machine learning methods to real-world problems and evaluating results using clear, reproducible metrics
- Experience deploying or supporting services in a cloud environment with attention to reliability, observability, and latency
- Strong fundamentals in software engineering (data structures, algorithms, and object-oriented design) and applied problem solving
- Strong communication skills and ability to collaborate effectively with technical and non-technical partners
Preferred qualifications, capabilities and skills
- Experience building or evaluating autonomous agent systems (planning, tool-use, orchestration, or multi-agent coordination)
- Experience with cloud-based machine learning platforms, such as Amazon Web Services (AWS) SageMaker or Amazon Bedrock
- Experience building and evaluating large language model solutions using structured evaluation approaches and safety guardrails
- Publications, open-source contributions, or other evidence of applied research impact in machine learning or generative AI
- Familiarity with financial services domains and operational processes, including risk-aware design and production constraints
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
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
See All 10 AI/ML Researcher Jobs in New York
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Find AI/ML Researcher JobsAI/ML Researcher Jobs by City in New York
Where New York roles are concentrated, by current openings.
AI/ML Researcher Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Investment & Asset Management
What New York Employers Look For
The qualifications that appear most often in AI/ML researcher jobs across New York.
- PhD or Master's degree in computer science, statistics, or a related quantitative field
- Demonstrated research experience in machine learning, deep learning, or artificial intelligence
- Proficiency in Python and at least one major ML framework such as PyTorch or TensorFlow
- Publication record or portfolio of completed research projects in a relevant AI subfield
- Experience designing and running experiments with large-scale datasets or distributed systems
- Strong written and verbal communication skills for presenting findings to technical and non-technical audiences
AI/ML Researcher Jobs in New York: Frequently Asked Questions
How do you become a ai/ml researcher in New York?
Becoming an ai/ml researcher in New York does not require a state-issued license, but most positions expect a graduate degree in computer science, mathematics, statistics, or a closely related field. A PhD is the standard credential for research-track roles at universities and major labs. Candidates without a doctorate typically break in through a Master's program at institutions like Columbia, NYU, or Cornell Tech, followed by an internship or research assistantship that leads to a full-time offer.
Which companies hire ai/ml researchers in New York?
Companies currently hiring ai/ml researchers in New York include JPMorganChase, EvolutionIQ, and EY, per current listings on Migrate Mate as of November 2026. New York's dense concentration of finance firms, health tech companies, and global tech offices means research roles appear across a wider range of industries than in most other states.
Which New York cities have the most ai/ml researcher jobs?
New York and Syracuse have the most ai/ml researcher openings in New York. New York City dominates because of its high density of corporate AI labs, financial services firms, and university research centers, while Albany draws roles tied to state government technology initiatives and Buffalo benefits from growing university partnerships and regional tech investment.
Are there remote ai/ml researcher jobs in New York?
Yes, and more than most fields. About 50% of ai/ml researcher openings tied to New York are remote or hybrid as of November 2026, reflecting how much of this work involves writing code, running experiments, and analyzing outputs rather than operating physical equipment. Roles focused on model development and literature research tend to be the most remote-friendly, while positions requiring access to proprietary hardware or on-site collaboration are more likely to require in-person presence.
How can I get hired as a ai/ml researcher in New York with little or no experience?
The most realistic entry path is a research internship or graduate research assistantship, which large New York employers and universities use to pipeline early-career talent. NYU, Columbia, and Cornell Tech regularly place students in internships at IBM Research, Google NYC, and financial firms running in-house AI teams. Candidates coming from adjacent roles like data scientist, software engineer, or quantitative analyst can also move into research positions by building a portfolio of published work or open-source contributions in a specific AI subfield.
Where can I find and apply to ai/ml researcher jobs in New York?
You can find and apply to ai/ml researcher jobs in New York on Migrate Mate, which lists current openings across New York City, Albany, Buffalo, and surrounding areas. Search for roles that fit your experience level and specialization and apply directly to the ones that match.
See All 10 AI/ML Researcher Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find AI/ML Researcher Jobs