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.
Find ML Engineer JobsOverview
Showing 5 of 136+ 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 136+ 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
- Meta12
- Capital One5
- EY4
- Uber4
- Plaid4
Top Industries Hiring
- Technology & Software16
- Insurance4
- Investment & Asset Management4
- Retail2
- Science & Research2
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 EY, based on current listings on Migrate Mate as of November 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 74% of ml engineer openings tied to New York are remote or hybrid as of November 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 136+ 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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