Machine Learning Scientist Jobs in New York
Machine Learning Scientist jobs in New York represent one of the most active markets in the country, concentrated in finance, media, healthcare technology, and enterprise software, with openings at every level from entry-level research engineer through principal scientist. The heaviest hiring activity is in New York City, with additional demand in Buffalo and Albany, where university-anchored research ecosystems support applied ML work. JPMorgan Chase, Bloomberg, and Memorial Sloan Kettering are among the established employers with lasting machine learning science teams in the state, with the most in-demand specialties covering natural language processing, deep learning infrastructure, and reinforcement learning. Find a role that fits below and apply directly.
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At JPMorgan Chase, AI and technology promote our global operations with unmatched scale and speed. We invest over $18 billion annually in innovation, data leverage, and security to shape the future for our clients, communities, and employees. The Chief Data & Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges. By ensuring data quality and leveraging insights, the CDAO supports our commercial goals, enhancing productivity and risk management through AI and machine learning. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
As a Machine Learning Scientist – Natural Language Processing (NLP) - Senior Associate, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production. Acting as a leading voice within JPMC on all things Generative AI (GenAI), you will partner closely with all lines of business to innovate new solutions that drive transformational change for the bank. You will actively participate in our knowledge sharing community, representing your work inside and outside of the firm at leading industry conferences amongst peers and leaders in the space. We seek someone who excels in a highly collaborative, fast-paced environment, and holds a strong passion for machine learning to make a significant impact at a leading global financial institution.
Job responsibilities
- Research and develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks involving Generative AI (GenAI)
- Act as a thought partner for JPMC leaders and help the business identify and implement new machine learning methods that deliver impact
- Drive cross-functional collaboration with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production
- Lead firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
Required qualifications, capabilities, and skills
- PhD in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science, OR an MS with at least 2 years of industry or research experience in the field
- Solid background in Generative AI (GenAI) and hands-on experience and solid understanding of machine learning and deep learning methods and toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
Preferred qualifications, capabilities, and skills
- Strong background in Mathematics and Statistics; Familiarity with the financial services industries and continuous integration models and unit test development
- Knowledge in search/ranking or Meta Learning
- Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large-scale distributed environment, and ability to develop and debug production-quality code
- Published research in areas of Machine Learning or Deep Learning at a major conference or journal
#MLCOE_jobs
#CDAO_CAO_jobs
ABOUT USWe 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
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.
At JPMorgan Chase, AI and technology promote our global operations with unmatched scale and speed. We invest over $18 billion annually in innovation, data leverage, and security to shape the future for our clients, communities, and employees. The Chief Data & Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges. By ensuring data quality and leveraging insights, the CDAO supports our commercial goals, enhancing productivity and risk management through AI and machine learning. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
As a Machine Learning Scientist – Natural Language Processing (NLP) - Senior Associate, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production. Acting as a leading voice within JPMC on all things Generative AI (GenAI), you will partner closely with all lines of business to innovate new solutions that drive transformational change for the bank. You will actively participate in our knowledge sharing community, representing your work inside and outside of the firm at leading industry conferences amongst peers and leaders in the space. We seek someone who excels in a highly collaborative, fast-paced environment, and holds a strong passion for machine learning to make a significant impact at a leading global financial institution.
Job responsibilities
- Research and develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks involving Generative AI (GenAI)
- Act as a thought partner for JPMC leaders and help the business identify and implement new machine learning methods that deliver impact
- Drive cross-functional collaboration with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production
- Lead firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
Required qualifications, capabilities, and skills
- PhD in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science, OR an MS with at least 2 years of industry or research experience in the field
- Solid background in Generative AI (GenAI) and hands-on experience and solid understanding of machine learning and deep learning methods and toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
Preferred qualifications, capabilities, and skills
- Strong background in Mathematics and Statistics; Familiarity with the financial services industries and continuous integration models and unit test development
- Knowledge in search/ranking or Meta Learning
- Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large-scale distributed environment, and ability to develop and debug production-quality code
- Published research in areas of Machine Learning or Deep Learning at a major conference or journal
#MLCOE_jobs
#CDAO_CAO_jobs
ABOUT USWe 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
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.
See All 15 Machine Learning Scientist Jobs in New York
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Find JobsMachine Learning Scientist Jobs by City in New York
Where New York roles are concentrated, by current openings.
Machine Learning Scientist 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
- Investment & Asset Management
- Biotechnology & Pharmaceuticals
- Chemicals & Materials
- Banking & Financial Services
What New York Employers Look For
The qualifications that appear most often in machine learning scientist jobs across New York.
- PhD or Master's degree in computer science, statistics, or a closely related field
- Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow
- Hands-on experience designing, training, and deploying large-scale ML models
- Strong background in statistical modeling, probability theory, and experimental design
- Experience publishing or contributing to peer-reviewed machine learning research
- Ability to collaborate with cross-functional engineering and product teams in fast-paced environments
Machine Learning Scientist Jobs in New York: Frequently Asked Questions
How do you become a machine learning scientist in New York?
Machine learning scientist is not a licensed profession in New York, so no state board exam or registration is required. The concrete path involves earning at least a Master's degree, with a PhD preferred for research-focused roles, in computer science, applied mathematics, or statistics. New York employers, particularly in finance and healthcare technology, place high value on published research or demonstrated project work. Building a portfolio through open-source contributions or academic collaborations with institutions like Columbia, NYU, or Cornell Tech strengthens candidacy significantly.
How much do machine learning scientists make in New York?
Machine learning scientists in New York earn a median of about $130,460 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $73,330 for the lowest 10% to over $214,080 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire machine learning scientists in New York?
Employers hiring machine learning scientists in New York right now include SentiLink, JPMorganChase, and TD, based on current listings on Migrate Mate as of September 2026. New York's concentration of financial services firms, media companies, and large health systems means demand is unusually broad across industries compared with tech-only markets.
Which New York cities have the most machine learning scientist jobs?
The cities with the most machine learning scientist openings in New York are New York and New York State. New York City accounts for the largest share by far, driven by its density of financial institutions, advertising technology firms, and health-focused research centers, while Buffalo and Albany benefit from anchor universities and state-funded research initiatives that support applied ML roles outside the metro.
Are there remote machine learning scientist jobs in New York?
Yes, and more than most fields, since machine learning science work is inherently desk-based and output-driven rather than tied to a physical site. About 56% of machine learning scientist openings tied to New York are remote or hybrid as of September 2026, reflecting how broadly employers in finance and tech have embraced distributed research teams. Roles focused on model research and experimentation are the most likely to remain fully remote, while those involving production deployment or close collaboration with engineering teams tend to require at least partial on-site presence.
How can I get hired as a machine learning scientist in New York with little or no experience?
The most realistic entry path is through a research internship or PhD fellowship with a New York employer while still in school, which frequently converts to a full-time offer. JPMorgan Chase, Bloomberg, and large New York health systems like NewYork-Presbyterian run structured research programs that bring in candidates without prior industry experience. Adjacent roles such as data scientist, ML engineer, or research analyst serve as common stepping stones. A strong GitHub portfolio, a published paper, or a Kaggle competition result specific to finance or healthcare problems is the credential that most often opens the first interview.
Where can I find and apply to machine learning scientist jobs in New York?
You can find and apply to machine learning scientist jobs in New York on Migrate Mate, which lists current New York openings from employers actively hiring for the role. Find roles that fit your background and apply directly to each one.
See All 15 Machine Learning Scientist Jobs in New York
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