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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About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments.
Responsibilities
- Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on
- Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts
- Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks
- Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse
You may be a good fit if you
- Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry
- Have proficiency in Python and experience building ML systems
- Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems
- Are worried about misuse risks of AI systems, and want to work to mitigate them
- Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong Candidates May Also Have Experience With
- Language modeling and transformers
- Building classifiers, anomaly detection systems, or behavioral ML
- Adversarial machine learning or red-teaming
- Interpretability or probes
- Reinforcement learning
- High-performance, large-scale ML systems
Annual Salary
$350,000—$500,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about our policy for using AI in our application process.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments.
Responsibilities
- Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on
- Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts
- Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks
- Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse
You may be a good fit if you
- Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry
- Have proficiency in Python and experience building ML systems
- Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems
- Are worried about misuse risks of AI systems, and want to work to mitigate them
- Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong Candidates May Also Have Experience With
- Language modeling and transformers
- Building classifiers, anomaly detection systems, or behavioral ML
- Adversarial machine learning or red-teaming
- Interpretability or probes
- Reinforcement learning
- High-performance, large-scale ML systems
Annual Salary
$350,000—$500,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about our policy for using AI in our application process.
See All 36 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
- Capital One10
- Meta5
- Anthropic4
- Bloomberg3
- Brookhaven National Laboratory3
Top Industries Hiring
- Technology & Software13
- Banking & Financial Services11
- Fintech7
- Artificial Intelligence3
- Government & Public Sector3
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 Capital One, Meta, and Anthropic, based on current listings on Migrate Mate as of June 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, Upton, and 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 11% of ml research engineer openings tied to New York are remote or hybrid as of June 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 36 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 Jobs