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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Research Scientist Intern, Audio, Machine Learning and Computer Vision (PhD) Responsibilities:
- Research, model, design, develop, and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision.
- Collaborate with researchers and engineers across diverse disciplines.
- Design and implementation of novel algorithms to solve audio research problems.
- Experimental design, implementation, and execution to evaluate new audio technologies.
- Collaboration with other researchers across audio and acoustic engineering disciplines.
- Communication of research agenda, progress, and results.
Minimum Qualifications:
- 3+ years experience with Python, Matlab, or similar
- 3+ years experience with machine learning software platforms such as PyTorch, TensorFlow, etc
- 2+ years experience building novel computational models in audio or audio-visual or speech application domains using machine learning or signal processing
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github)
- Strong background in statistical modeling techniques, and/or signal processing
- Proven track record of achieving results as demonstrated in accepted papers at top computer vision and machine learning related conferences such as CVPR, ECCV, NIPS, ICASSP, InterSpeech etc
- Experience working and communicating cross functionally in a team environment
- Intent to return to a degree-program after the completion of the internship/co-op
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Research Scientist Intern, Audio, Machine Learning and Computer Vision (PhD) Responsibilities:
- Research, model, design, develop, and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision.
- Collaborate with researchers and engineers across diverse disciplines.
- Design and implementation of novel algorithms to solve audio research problems.
- Experimental design, implementation, and execution to evaluate new audio technologies.
- Collaboration with other researchers across audio and acoustic engineering disciplines.
- Communication of research agenda, progress, and results.
Minimum Qualifications:
- 3+ years experience with Python, Matlab, or similar
- 3+ years experience with machine learning software platforms such as PyTorch, TensorFlow, etc
- 2+ years experience building novel computational models in audio or audio-visual or speech application domains using machine learning or signal processing
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github)
- Strong background in statistical modeling techniques, and/or signal processing
- Proven track record of achieving results as demonstrated in accepted papers at top computer vision and machine learning related conferences such as CVPR, ECCV, NIPS, ICASSP, InterSpeech etc
- Experience working and communicating cross functionally in a team environment
- Intent to return to a degree-program after the completion of the internship/co-op
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
See All 12 ML Research Engineer Jobs in New York
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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
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 Meta, Achira, and Plaid, based on current listings on Migrate Mate as of November 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 100% of ml research engineer openings tied to New York are remote or hybrid as of November 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 12 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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