Senior ML Engineer Jobs in New York
Senior ML Engineer jobs in New York are among the most actively recruited positions in the country, concentrated in finance, media, healthcare technology, and enterprise software across one of the deepest tech labor markets in the United States. The heaviest hiring is in New York City, with additional demand in Albany and Buffalo tied to state government modernization and regional tech growth. Established employers like JPMorgan Chase, IBM, and Memorial Sloan Kettering consistently staff senior ml engineers across deep learning, NLP, and large-scale recommendation systems. Find a role that fits below and apply directly.
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Operating across key business areas like grocery and food, the Consumer Incentives team drives Uber's growth and long-term profitability. We deliver products that create seamless, affordable, and enjoyable customer experiences by building AI/ML-powered intelligence and sophisticated distributed systems at scale for hundreds of millions of global users.
What you'll do
In this role, you will build products powered by advanced AI/ML solutions and scalable distributed systems. Your work will optimize user experiences across multiple verticals, such as grocery and food, while fostering sustainable business growth. Key responsibilities include:
- Launching products to power key consumer experience and business outcomes.
- Driving projects across full lifecycles spanning initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
- Designing, tuning, and enhancing systems and algorithms to operate at scale.
- Partnering with cross-functional stakeholders across product management, operations, and data science.
- 3+ years of experience in an AI/ML/optimization role, or a PhD in a relevant field (CS, OR, EE, Statistics, etc.)
- Proficiency in at least one programming language such as Python, Go, or Java
- Strong communication skills and ability to work effectively with cross-functional partners
- Strong sense of ownership to drive projects end-to-end
- Experience in designing and delivering large-scale consumer products
- Experience in developing, evaluating, and deploying ML models & algorithms in production Experience in experimental design and causal inference
For New York City, NY-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
Ready to Ride?
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Operating across key business areas like grocery and food, the Consumer Incentives team drives Uber's growth and long-term profitability. We deliver products that create seamless, affordable, and enjoyable customer experiences by building AI/ML-powered intelligence and sophisticated distributed systems at scale for hundreds of millions of global users.
What you'll do
In this role, you will build products powered by advanced AI/ML solutions and scalable distributed systems. Your work will optimize user experiences across multiple verticals, such as grocery and food, while fostering sustainable business growth. Key responsibilities include:
- Launching products to power key consumer experience and business outcomes.
- Driving projects across full lifecycles spanning initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
- Designing, tuning, and enhancing systems and algorithms to operate at scale.
- Partnering with cross-functional stakeholders across product management, operations, and data science.
- 3+ years of experience in an AI/ML/optimization role, or a PhD in a relevant field (CS, OR, EE, Statistics, etc.)
- Proficiency in at least one programming language such as Python, Go, or Java
- Strong communication skills and ability to work effectively with cross-functional partners
- Strong sense of ownership to drive projects end-to-end
- Experience in designing and delivering large-scale consumer products
- Experience in developing, evaluating, and deploying ML models & algorithms in production Experience in experimental design and causal inference
For New York City, NY-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
Ready to Ride?
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
See All 124+ Senior ML Engineer Jobs in New York
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Find Senior ML Engineer JobsSenior ML Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Senior 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
- Science & Research4
- Consulting & Professional Services4
What New York Employers Look For
The qualifications that appear most often in senior ML engineer jobs across New York.
- Master's or PhD in computer science, statistics, or a closely related quantitative field
- Five or more years of hands-on experience building and deploying ML models in production
- Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Experience designing scalable ML infrastructure on cloud platforms like AWS or GCP
- Demonstrated ability to lead cross-functional projects and mentor junior ML engineers
- Familiarity with MLOps practices including model monitoring, versioning, and CI/CD pipelines
Senior ML Engineer Jobs in New York: Frequently Asked Questions
How do you become a senior ml engineer in New York?
Becoming a senior ml engineer in New York typically requires a graduate degree in computer science, applied mathematics, or a related field, followed by several years of industry experience building production ML systems. New York has no state-issued license specific to machine learning, so advancement is driven by portfolio depth and domain expertise. Candidates who develop specializations in finance, healthcare AI, or NLP tend to move into senior roles faster given New York's industry mix.
How much do senior ML engineers make in New York?
Senior ML engineers in New York earn a median of about $116,990 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $59,740 for the lowest 10% to over $203,040 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ml engineers in New York?
Employers hiring senior ml engineers in New York right now include Capital One, Meta, and GEICO, based on current listings on Migrate Mate as of September 2026. New York's concentration of financial services firms, media companies, and large hospital systems means demand is consistently broad across industries rather than limited to pure technology employers.
Which New York cities have the most senior ml engineer jobs?
New York, New York City, and New York have the most senior ml engineer openings in New York. New York City dominates because it is home to the headquarters of major financial institutions, global media companies, and large healthcare networks that all run data-intensive ML operations, while smaller metro areas reflect regional anchors like state government technology initiatives or university-affiliated research centers.
Are there remote senior ml engineer jobs in New York?
Yes, and more than most fields. About 63% of senior ml engineer openings tied to New York are remote or hybrid as of September 2026, reflecting how well the core work of model development, experimentation, and code review translates to distributed environments. Roles that require close collaboration with trading desks or clinical teams tend to lean more toward hybrid arrangements.
How can I get hired as a senior ml engineer in New York with little or no experience?
The most realistic entry path is through a graduate research role or a rotational data science program at a large New York employer. Major financial institutions like Goldman Sachs and Citigroup run associate technology programs that place candidates without industry experience into ML-adjacent roles, and large health systems such as NewYork-Presbyterian hire junior data scientists who can grow into ML engineering. Building a public project portfolio and contributing to open-source ML tooling are the credentials that open conversations with New York hiring managers when a formal degree or prior role cannot.
Where can I find and apply to senior ml engineer jobs in New York?
You can find and apply to senior ml engineer jobs in New York on Migrate Mate, which lists current openings across New York employers. Find roles that fit your background and apply directly to the ones that match.
See All 124+ Senior ML Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Senior ML Engineer Jobs