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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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 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
- Chemicals & Materials
- Banking & Financial Services
- Healthcare & Medical 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 Meta, SentiLink, and Plaid, based on current listings on Migrate Mate as of November 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 71% of machine learning scientist openings tied to New York are remote or hybrid as of November 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
Find roles in New York that match your experience and apply in just a few clicks.
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