ML Research Engineer Jobs in New York
ML Research Engineer jobs in New York represent one of the most active and competitive markets in the country, concentrated in artificial intelligence, financial technology, healthcare AI, and academic research, with openings at every level from entry-level research associate through principal and staff engineer. Most hiring is anchored in New York City, with additional demand in Albany and Buffalo, where IBM, JPMorgan Chase, and Google maintain significant research operations. The most in-demand specialties are large language model development, reinforcement learning, and applied ML for quantitative finance and biomedical data. Find a role that fits below and apply directly.
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Join the Future of Commerce with Whatnot!
Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
Role
Lead research projects across the marketplace dynamics problem area: simulation, auction and allocation mechanics, long-term objective modeling, exploration and information value, or marketplace experimentation methods
Take ideas from hypothesis to production: literature review, prototyping, offline validation, shadow testing, and online experiments shipped through partner teams in Discovery and the Seller org
Build models of how the marketplace behaves as a system: learned simulators that predict segment-level effects of ranking and policy changes, and surrogate models of long-term marketplace outcomes
Model Whatnot's actual market mechanics: auction and bidding dynamics, and discovery exposure allocation as a portfolio problem, including allocation to rising sellers
Advance how a multi-sided live marketplace evaluates changes: off-policy evaluation, switchback and interference-robust experiment designs, and variance reduction
Contribute to Whatnot's external technical presence through publications, open-source work, and public benchmarks
NYC Based:
Team members in this role are required to be within commuting distance (50 miles) of our New York City hub.
You
Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. As our next Machine Learning Engineer you should have:
5+ years of industry experience building and deploying ML models to solve user problems at scale
Depth in at least one of: recommendation systems, causal inference, off-policy evaluation, reinforcement learning and bandits, auction or mechanism design, or marketplace experimentation
A track record of applying scientific methods to solve real-world problems on consumer-scale data
Advanced proficiency in Python, SQL, and common ML frameworks like PyTorch, XGBoost, etc
Strong grounding in applied statistics, experiment design and theoretical machine learning
Strong communication and leadership skills; ability to influence roadmaps and align cross-functional teams in a remote environment
Preferred Qualifications:
Experience in two-sided marketplaces, ads and auction systems, or pricing
Experience building simulators or economic models of platform behavior
Compensation
For Full-Time (Salary) US-based applicants: $207,000/year to $290,000X/year + benefits + equity.
The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
Benefits
Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
Monthly allowance to dogfood the app
Parental Leave
16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
Please note: Whatnot will only contact you through official @whatnot.com email addresses. If you see an email impersonating a Whatnot recruiter, please disregard and report it as spam.
EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
Compensation Range: $207K - $290K
Join the Future of Commerce with Whatnot!
Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
Role
Lead research projects across the marketplace dynamics problem area: simulation, auction and allocation mechanics, long-term objective modeling, exploration and information value, or marketplace experimentation methods
Take ideas from hypothesis to production: literature review, prototyping, offline validation, shadow testing, and online experiments shipped through partner teams in Discovery and the Seller org
Build models of how the marketplace behaves as a system: learned simulators that predict segment-level effects of ranking and policy changes, and surrogate models of long-term marketplace outcomes
Model Whatnot's actual market mechanics: auction and bidding dynamics, and discovery exposure allocation as a portfolio problem, including allocation to rising sellers
Advance how a multi-sided live marketplace evaluates changes: off-policy evaluation, switchback and interference-robust experiment designs, and variance reduction
Contribute to Whatnot's external technical presence through publications, open-source work, and public benchmarks
NYC Based:
Team members in this role are required to be within commuting distance (50 miles) of our New York City hub.
You
Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. As our next Machine Learning Engineer you should have:
5+ years of industry experience building and deploying ML models to solve user problems at scale
Depth in at least one of: recommendation systems, causal inference, off-policy evaluation, reinforcement learning and bandits, auction or mechanism design, or marketplace experimentation
A track record of applying scientific methods to solve real-world problems on consumer-scale data
Advanced proficiency in Python, SQL, and common ML frameworks like PyTorch, XGBoost, etc
Strong grounding in applied statistics, experiment design and theoretical machine learning
Strong communication and leadership skills; ability to influence roadmaps and align cross-functional teams in a remote environment
Preferred Qualifications:
Experience in two-sided marketplaces, ads and auction systems, or pricing
Experience building simulators or economic models of platform behavior
Compensation
For Full-Time (Salary) US-based applicants: $207,000/year to $290,000X/year + benefits + equity.
The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
Benefits
Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
Monthly allowance to dogfood the app
Parental Leave
16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
Please note: Whatnot will only contact you through official @whatnot.com email addresses. If you see an email impersonating a Whatnot recruiter, please disregard and report it as spam.
EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
Compensation Range: $207K - $290K
See All 9 ML Research Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find ML Research Engineer JobsML Research Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
ML Research Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Science & Research
- Banking & Financial Services
- Investment & Asset Management
- Consulting & Professional Services
What New York Employers Look For
The qualifications that appear most often in ML research engineer jobs across New York.
- PhD or master's degree in machine learning, computer science, or a closely related field
- Strong publication record or research contributions in peer-reviewed ML venues
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and running large-scale experiments on distributed computing infrastructure
- Familiarity with NLP, computer vision, or reinforcement learning depending on the team's focus
- Ability to collaborate across research and engineering teams to move models into production
ML Research Engineer Jobs in New York: Frequently Asked Questions
How do you become a ml research engineer in New York?
ML research engineering in New York has no state-issued license or registration requirement, so the path runs through education and demonstrated research ability. Most roles require at minimum a master's degree in machine learning, computer science, or statistics, and many New York employers, particularly in finance and academia, strongly prefer a PhD. Building a portfolio through published research, open-source contributions, or graduate lab work at institutions like Columbia, NYU, or Cornell Tech significantly strengthens a candidate's standing with New York hiring teams.
Which companies hire ml research engineers in New York?
Employers hiring ml research engineers in New York right now include Achira, Apple, and Plaid, based on current listings on Migrate Mate as of September 2026. New York's concentration of financial institutions, media companies, and academic medical centers means demand comes from a broader range of industries than in most other states.
Which New York cities have the most ml research engineer jobs?
New York have the most ml research engineer openings in New York. New York City dominates because it hosts the research labs, fintech firms, and large enterprise technology operations that generate the bulk of demand, while any activity in Albany or Buffalo typically reflects state government AI initiatives or anchor institutions like the University at Buffalo's research computing programs.
Are there remote ml research engineer jobs in New York?
Yes, and more than most fields. About 71% of ml research engineer openings tied to New York are remote or hybrid as of September 2026, reflecting how much of the work involves writing code, running experiments, and analyzing results rather than requiring a physical presence. The parts of the role most likely to stay fully remote are literature review, model training, and paper writing, while onboarding, collaborative ideation, and lab compute access often pull people on-site.
How can I get hired as a ml research engineer in New York with little or no experience?
The most realistic entry path is a research internship or a PhD program with industry collaboration, since New York employers like IBM Research and JPMorgan AI Research regularly take on graduate interns who convert to full-time roles. Candidates without a graduate degree can transition from adjacent roles such as data scientist, ML engineer, or software engineer by contributing to open-source ML projects or publishing on arXiv. NYU's Center for Data Science and Columbia's Data Science Institute also connect students directly to New York employer pipelines.
Where can I find and apply to ml research engineer jobs in New York?
You can find and apply to ml research engineer jobs in New York on Migrate Mate, which lists current New York openings updated regularly. Search the available roles, find the ones that fit your background and target area, and apply directly through the listing.
See All 9 ML Research Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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