Machine Learning Manager Jobs in New York
Machine Learning Manager jobs in New York sit at the center of one of the most active markets in the country, with consistent demand from financial services, healthcare technology, and media companies, at levels from team lead through director. Most hiring concentrates in New York City, particularly Manhattan and Brooklyn, alongside growing hubs in Buffalo and Albany tied to state-backed tech initiatives. Well-established employers with lasting New York footprints include JPMorgan Chase, IBM, and Memorial Sloan Kettering, and the most sought-after specialties are MLOps, natural language processing, and responsible AI governance. Find a role that fits below and apply directly.
Find Machine Learning Manager JobsOverview
Showing 5 of 118+ Machine Learning Manager 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 118+ Machine Learning Manager Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Machine Learning Manager JobsMachine Learning Manager Jobs by City in New York
Where New York roles are concentrated, by current openings.
Machine Learning Manager Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software14
- Insurance4
- Investment & Asset Management4
- Science & Research3
- Accounting & Auditing2
What New York Employers Look For
The qualifications that appear most often in machine learning manager jobs across New York.
- Bachelor's or master's degree in computer science, statistics, or a closely related field
- Proven experience leading and mentoring machine learning or data science teams
- Deep hands-on knowledge of Python, TensorFlow, PyTorch, or comparable ML frameworks
- Experience deploying and maintaining machine learning models in production environments
- Strong cross-functional collaboration with product, engineering, and business stakeholders
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for ML workloads
Machine Learning Manager Jobs in New York: Frequently Asked Questions
How do you become a machine learning manager in New York?
There is no state-issued license required to work as a machine learning manager in New York. The typical path begins with a bachelor's or master's degree in computer science, applied mathematics, or a related technical field, followed by several years as an individual contributor in machine learning or data science. New York employers, especially in finance and healthcare technology, consistently favor candidates who have both hands-on modeling experience and demonstrated team leadership before moving into a management role.
Which companies hire machine learning managers in New York?
Employers hiring machine learning managers 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, global media companies, and large hospital networks means demand for machine learning managers is spread across industries rather than confined to pure technology firms.
Which New York cities have the most machine learning manager jobs?
New York, New York City, and New York have the most machine learning manager openings in New York. New York City dominates because it is home to the headquarters of major financial institutions, advertising technology companies, and academic medical centers that all run large data science organizations, while Buffalo and Albany have seen growth driven by state economic development programs attracting technology employers outside the metro.
Are there remote machine learning manager jobs in New York?
Yes, and more than most fields. About 73% of machine learning manager openings tied to New York are remote or hybrid as of November 2026, reflecting the desk-based and collaborative-but-flexible nature of the work. The parts of the role most compatible with remote arrangements are model strategy, code review, and stakeholder reporting, while on-site expectations tend to apply when close coordination with data engineering or product teams is required.
How can I get hired as a machine learning manager in New York with little or no experience?
The most realistic entry path is to first establish yourself as a strong individual contributor, then step into a team lead role before pursuing a full management title. Large New York employers such as financial institutions and hospital networks regularly hire associate data scientists or machine learning engineers into structured rotational programs where management exposure comes within the first two years. Building a portfolio of end-to-end deployed projects and earning a cloud ML certification strengthens a candidacy significantly in the New York market.
Where can I find and apply to machine learning manager jobs in New York?
You can find and apply to machine learning manager jobs in New York on Migrate Mate, which lists current New York openings updated regularly. Search the listings, find roles that match your experience and preferred location or work arrangement, and apply directly to the ones that fit.
See All 118+ Machine Learning Manager Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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