ML Engineer Jobs in New York
ML Engineer jobs in New York are among the most active in the country, concentrated in fintech, media technology, healthcare AI, and enterprise software across a range of levels from entry-level through principal and staff engineer. New York City, Buffalo, and Albany are the primary hiring metros, with major employers such as JPMorgan Chase, IBM, and Google maintaining substantial engineering teams in the state. The most in-demand specialties right now are large language model fine-tuning, MLOps and model deployment, and applied NLP for financial and media applications. Find a role that fits below and apply directly.
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Showing 4 of 129+ ML Engineer jobs
About the Role:
We are seeking a Senior Staff Machine Learning Engineer to define and accelerate how we leverage agentic AI to transform machine learning models and modeling workflows. This high-impact role focuses directly on modeling leverage—enhancing model quality and velocity—rather than building general infrastructure. As a senior staff engineer, you will operate as a technical leader across the entire modeling loop, utilizing modern AI-assisted development systems (such as Claude, Cursor, and comparable tools) to make model development faster, more rigorous, and significantly more effective across the organization.
Why Join Us? This role offers a domain-flexible platform to redefine how ML engineering is done. If you are passionate about combining deep ML fundamentals with the vanguard of agentic AI to multiply team impact, we'd love to talk to you.
What you'll do:
- Develop advanced ML models and the agentic workflows that help teams design, train, evaluate, and improve them.
- Use tools such as Claude, Cursor, and comparable AI-assisted development systems to investigate model behavior, generate and test hypotheses, automate repetitive analysis, and improve code and experiments.
- Build reliable loops for data and label analysis, feature and embedding development, architecture comparison, hyperparameter optimization, error analysis, and experiment readouts.
- Design evaluation harnesses that measure both model outcomes and agent/workflow quality, including correctness, reproducibility, regressions, cost, and latency.
- Partner with product, data science, ML infrastructure, and engineering teams to connect modeling improvements to user and business outcomes.
- Set technical direction across teams, mentor engineers, and raise the bar for modeling rigor and AI-assisted engineering.
Required Qualifications:
- 9+ years of experience in ML engineering, applied ML, or a related field, with substantial production impact.
- Senior Staff-level technical leadership and a record of influencing direction across teams.
- Deep modeling expertise and strong fundamentals in data, objectives, architectures, optimization, evaluation, and experimentation.
- Concrete examples of using agentic AI or AI coding tools to produce better ML outcomes—not just faster code generation.
- Ability to design guardrails and evaluations that make autonomous or semi-autonomous workflows trustworthy.
- Strong coding ability in Python and fluency with modern ML frameworks and data tooling.
- Clear, concise communication and a collaborative, low-ego approach to technical leadership.
Perks and Benefits:
- 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
- Competitive salary and equity options
- Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc)
- Generous 401k matching
- Flexible vacation policy
- Paid parental leave (4+ months)
- Family planning support
- Paid volunteer time off
#LI-AS1
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
About the Role:
We are seeking a Senior Staff Machine Learning Engineer to define and accelerate how we leverage agentic AI to transform machine learning models and modeling workflows. This high-impact role focuses directly on modeling leverage—enhancing model quality and velocity—rather than building general infrastructure. As a senior staff engineer, you will operate as a technical leader across the entire modeling loop, utilizing modern AI-assisted development systems (such as Claude, Cursor, and comparable tools) to make model development faster, more rigorous, and significantly more effective across the organization.
Why Join Us? This role offers a domain-flexible platform to redefine how ML engineering is done. If you are passionate about combining deep ML fundamentals with the vanguard of agentic AI to multiply team impact, we'd love to talk to you.
What you'll do:
- Develop advanced ML models and the agentic workflows that help teams design, train, evaluate, and improve them.
- Use tools such as Claude, Cursor, and comparable AI-assisted development systems to investigate model behavior, generate and test hypotheses, automate repetitive analysis, and improve code and experiments.
- Build reliable loops for data and label analysis, feature and embedding development, architecture comparison, hyperparameter optimization, error analysis, and experiment readouts.
- Design evaluation harnesses that measure both model outcomes and agent/workflow quality, including correctness, reproducibility, regressions, cost, and latency.
- Partner with product, data science, ML infrastructure, and engineering teams to connect modeling improvements to user and business outcomes.
- Set technical direction across teams, mentor engineers, and raise the bar for modeling rigor and AI-assisted engineering.
Required Qualifications:
- 9+ years of experience in ML engineering, applied ML, or a related field, with substantial production impact.
- Senior Staff-level technical leadership and a record of influencing direction across teams.
- Deep modeling expertise and strong fundamentals in data, objectives, architectures, optimization, evaluation, and experimentation.
- Concrete examples of using agentic AI or AI coding tools to produce better ML outcomes—not just faster code generation.
- Ability to design guardrails and evaluations that make autonomous or semi-autonomous workflows trustworthy.
- Strong coding ability in Python and fluency with modern ML frameworks and data tooling.
- Clear, concise communication and a collaborative, low-ego approach to technical leadership.
Perks and Benefits:
- 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
- Competitive salary and equity options
- Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc)
- Generous 401k matching
- Flexible vacation policy
- Paid parental leave (4+ months)
- Family planning support
- Paid volunteer time off
#LI-AS1
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
See All 129+ ML Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find ML Engineer JobsML Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
ML Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software20
- Insurance5
- Investment & Asset Management5
- Consulting & Professional Services5
- Science & Research4
What New York Employers Look For
The qualifications that appear most often in ML engineer jobs across New York.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying production machine learning models
- Familiarity with cloud ML platforms including AWS SageMaker, Google Vertex AI, or Azure ML
- Strong foundation in mathematics covering linear algebra, probability, and optimization
- Experience with MLOps tooling, model versioning, and CI/CD pipelines for model deployment
ML Engineer Jobs in New York: Frequently Asked Questions
How do you become a ml engineer in New York?
ML engineering in New York has no state-issued license or registration requirement, so the path runs through education and demonstrated technical ability. Most New York employers expect at least a bachelor's degree in computer science, mathematics, or a closely related field, with a master's degree common at larger firms in finance and healthcare AI. Candidates build credibility through open-source contributions, Kaggle competition placements, or portfolio projects that show end-to-end model deployment rather than coursework alone.
Which companies hire ml engineers in New York?
Employers hiring ml engineers in New York right now include Meta, Capital One, and GEICO, based on current listings on Migrate Mate as of September 2026. New York's concentration of financial institutions, media companies, and enterprise technology firms means hiring activity is especially consistent in Midtown Manhattan and the Hudson Yards tech corridor throughout the year.
Which New York cities have the most ml engineer jobs?
New York, New York City, and New York have the most ml engineer openings in New York. New York City dominates the distribution because of its dense cluster of financial services firms, advertising technology companies, and large tech offices, while Buffalo and Albany see demand primarily from healthcare systems, state government IT initiatives, and manufacturing companies investing in predictive analytics.
Are there remote ml engineer jobs in New York?
Yes, and more than most fields. About 61% of ml engineer openings tied to New York are remote or hybrid as of September 2026, reflecting the inherently desk-based and collaborative-tool-friendly nature of the work. Model research, experimentation, and code review adapt well to distributed teams, though roles involving sensitive financial data or on-premise infrastructure at banks and healthcare systems tend to require more in-office time.
How can I get hired as a ml engineer in New York with little or no experience?
The most realistic entry path is a junior or associate ML engineer role, often titled data scientist or ML associate, at a mid-size fintech or healthcare analytics company in New York. Large employers such as JPMorgan Chase and IBM run structured new-graduate programs and research residencies that accept candidates without prior industry experience. Building a public project portfolio on GitHub showing real data ingestion, model training, and API deployment is the single credential that consistently moves entry-level candidates past resume screens in New York's competitive market.
Where can I find and apply to ml engineer jobs in New York?
You can find and apply to ml engineer jobs in New York on Migrate Mate, which lists current openings tied to New York employers and remote roles based in the state. Find roles that fit your experience and seniority level, then apply directly to each one without creating a profile or signing up.
See All 129+ ML Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find ML Engineer Jobs