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.
Find Senior ML Engineer JobsOverview
Showing 5 of 125+ Senior ML Engineer jobs
Location
New York City Office
Address
85 Spring Street, 10th Floor, New York, New York, 10012
Employment Type
Full time
Location Type
Hybrid
Department
All DepartmentsData
Compensation
- Zone A$211,680 - $272,160 $211,680 – $272,160 • Offers Equity
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam.
About the Team
We’re part of Plaid’s Data organization, building models that help millions of people better understand and grow their financial lives. We apply machine learning to high-impact product challenges, working across product areas to develop solutions that create meaningful customer value.
We focus on credit, building models to the standards required in lending and supporting the next wave of cash-flow-based underwriting. We value technical expertise, creativity, user empathy, and teamwork, and we’re guided by Plaid’s principles of impact, growing together, openness and positivity, and inventing tomorrow.
About the Role
As a Machine Learning Engineer on the Credit team, you’ll design, build, and deploy scalable machine learning solutions that support LendScore and the future of cash-flow-based underwriting. You’ll work across the full model lifecycle—from experimentation and offline training through production serving and monitoring—and partner with engineers and cross-functional teams to turn data and new modeling approaches into reliable systems.
In this role, you will:
Develop and productionize AI and machine learning models, from offline training through online serving and ongoing monitoring.
Experiment with modeling approaches and strategies for credit use cases, balancing model performance with the requirements of lending environments.
Partner with engineering teams to ingest signals and build the systems needed to bring models into production.
Contribute to both 0-to-1 problems and the scaling and improvement of established solutions.
Collaborate with teams across Plaid to help define the machine learning roadmap.
Dive into data and use evidence-based analysis to guide day-to-day decisions.
What Excites You
Building products that can empower millions of people through well-known and emerging fintech applications.
Experimenting with modern machine learning techniques on meaningful credit and lending problems.
Working across the full lifecycle of machine learning systems, from exploration to production and ongoing improvement.
Taking on both greenfield challenges and opportunities to scale solutions that are already delivering value.
Joining a high-ownership, bottom-up team where your work can shape the roadmap and drive business impact.
What Excites Us
2+ years of experience training and serving AI or machine learning models in a production environment.
Experience in fintech lending and a strong understanding of how models are built and used in lending.
Experience building or working with data-intensive backend applications in large, distributed systems.
Ability to code and iterate independently using data infrastructure tools such as Python, Spark, Jupyter notebooks, and standard machine learning libraries.
A track record of taking ownership and driving projects to business impact.
Ability to work effectively with both technical and non-technical teams.
Master’s degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field.
Nice to have: Experience in data analytics or data engineering.
Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
Compensation Range: $211,680 - $272,160Location
New York City Office
Address
85 Spring Street, 10th Floor, New York, New York, 10012
Employment Type
Full time
Location Type
Hybrid
Department
All DepartmentsData
Compensation
- Zone A$211,680 - $272,160 $211,680 – $272,160 • Offers Equity
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam.
About the Team
We’re part of Plaid’s Data organization, building models that help millions of people better understand and grow their financial lives. We apply machine learning to high-impact product challenges, working across product areas to develop solutions that create meaningful customer value.
We focus on credit, building models to the standards required in lending and supporting the next wave of cash-flow-based underwriting. We value technical expertise, creativity, user empathy, and teamwork, and we’re guided by Plaid’s principles of impact, growing together, openness and positivity, and inventing tomorrow.
About the Role
As a Machine Learning Engineer on the Credit team, you’ll design, build, and deploy scalable machine learning solutions that support LendScore and the future of cash-flow-based underwriting. You’ll work across the full model lifecycle—from experimentation and offline training through production serving and monitoring—and partner with engineers and cross-functional teams to turn data and new modeling approaches into reliable systems.
In this role, you will:
Develop and productionize AI and machine learning models, from offline training through online serving and ongoing monitoring.
Experiment with modeling approaches and strategies for credit use cases, balancing model performance with the requirements of lending environments.
Partner with engineering teams to ingest signals and build the systems needed to bring models into production.
Contribute to both 0-to-1 problems and the scaling and improvement of established solutions.
Collaborate with teams across Plaid to help define the machine learning roadmap.
Dive into data and use evidence-based analysis to guide day-to-day decisions.
What Excites You
Building products that can empower millions of people through well-known and emerging fintech applications.
Experimenting with modern machine learning techniques on meaningful credit and lending problems.
Working across the full lifecycle of machine learning systems, from exploration to production and ongoing improvement.
Taking on both greenfield challenges and opportunities to scale solutions that are already delivering value.
Joining a high-ownership, bottom-up team where your work can shape the roadmap and drive business impact.
What Excites Us
2+ years of experience training and serving AI or machine learning models in a production environment.
Experience in fintech lending and a strong understanding of how models are built and used in lending.
Experience building or working with data-intensive backend applications in large, distributed systems.
Ability to code and iterate independently using data infrastructure tools such as Python, Spark, Jupyter notebooks, and standard machine learning libraries.
A track record of taking ownership and driving projects to business impact.
Ability to work effectively with both technical and non-technical teams.
Master’s degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field.
Nice to have: Experience in data analytics or data engineering.
Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
Compensation Range: $211,680 - $272,160See All 125+ 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 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 & Software16
- Insurance4
- Investment & Asset Management4
- Science & Research2
- Accounting & Auditing2
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 Meta, Capital One, and JPMorganChase, based on current listings on Migrate Mate as of November 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 74% of senior ml engineer openings tied to New York are remote or hybrid as of November 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 125+ Senior ML 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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