AI ML Engineer Jobs in New York
AI ML Engineer jobs in New York are among the most active in the country, concentrated in finance and fintech, media and advertising technology, healthcare AI, and enterprise software, with openings from entry-level roles through principal and staff engineers. The heaviest hiring is in New York City, with additional demand in Albany and Buffalo driven by state government technology initiatives and growing regional tech sectors. Well-established employers with a lasting New York footprint include JPMorgan Chase, IBM, and Memorial Sloan Kettering Cancer Center. The most in-demand specialties are large language model development, MLOps and model deployment infrastructure, and computer vision. Find a role that fits below and apply directly.
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About the Role
At Sigma, we're not just adding AI—we're building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we're pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast.
That's where you come in. As an AI/ML Engineer, you'll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma.
What You'll Do
- Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
- Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
- Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
- Tackle novel UX problems at the intersection of AI, BI, and apps
What You Bring
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (required)
- 10+ years of experience building and deploying production-grade AI/ML systems
- Deep knowledge of machine learning, deep learning, and applied AI
- Experience across the full ML lifecycle: data curation, training, deployment, monitoring
- A track record of building things that ship—whether it's recommendations, search, machine translation, or something equally complex
- Experience adapting or training foundation models (language or multimodal) for novel domains
Bonus Points (or skills you'll build here)
- You've built agents that can plan, reason, and use tools
- You know your way around cloud infrastructure (AWS, GCP, Azure)
- You've worked in a fast-moving startup or high-growth environment
Additional Job details
The base salary range for this position is $240k - $270k annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.
About us:
Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
Come join us!
Benefits For Our Full-Time Employees:
- Equity
- Generous health benefits
- Flexible time off policy. Take the time off you need!
- Paid bonding time for all new parents
- Traditional and Roth 401k
- Commuter and FSA benefits
- Lunch Program
- Dog friendly office
Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney.
Our Privacy Practices
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).
Sigma's use of AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
About the Role
At Sigma, we're not just adding AI—we're building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we're pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast.
That's where you come in. As an AI/ML Engineer, you'll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma.
What You'll Do
- Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
- Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
- Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
- Tackle novel UX problems at the intersection of AI, BI, and apps
What You Bring
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (required)
- 10+ years of experience building and deploying production-grade AI/ML systems
- Deep knowledge of machine learning, deep learning, and applied AI
- Experience across the full ML lifecycle: data curation, training, deployment, monitoring
- A track record of building things that ship—whether it's recommendations, search, machine translation, or something equally complex
- Experience adapting or training foundation models (language or multimodal) for novel domains
Bonus Points (or skills you'll build here)
- You've built agents that can plan, reason, and use tools
- You know your way around cloud infrastructure (AWS, GCP, Azure)
- You've worked in a fast-moving startup or high-growth environment
Additional Job details
The base salary range for this position is $240k - $270k annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.
About us:
Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
Come join us!
Benefits For Our Full-Time Employees:
- Equity
- Generous health benefits
- Flexible time off policy. Take the time off you need!
- Paid bonding time for all new parents
- Traditional and Roth 401k
- Commuter and FSA benefits
- Lunch Program
- Dog friendly office
Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney.
Our Privacy Practices
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).
Sigma's use of AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
See All 397+ AI ML Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find AI ML Engineer JobsAI ML Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
AI ML Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Capital One39
- Amazon37
- Spotify15
- EY10
- Datadog9
Top Industries Hiring
- Technology & Software126
- Banking & Financial Services49
- Investment & Asset Management27
- Music22
- Consulting & Professional Services19
What New York Employers Look For
The qualifications that appear most often in AI ML engineer jobs across New York.
- Bachelor's or master's degree in computer science, statistics, or a closely related field
- Proficiency in Python and at least one ML framework such as TensorFlow or PyTorch
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms including AWS, Google Cloud, or Azure for ML workloads
- Strong understanding of data pipelines, feature engineering, and model evaluation techniques
- Experience with MLOps practices including model versioning, monitoring, and CI/CD for ML systems
AI ML Engineer Jobs in New York: Frequently Asked Questions
How do you become a ai ml engineer in New York?
AI ML engineering in New York has no state-issued license or registration requirement, so the path runs through education and demonstrated skills. Most roles require at least a bachelor's degree in computer science, mathematics, or a related field, though a master's is increasingly preferred at larger New York finance and healthcare employers. Building a portfolio of end-to-end ML projects and contributing to open-source work strengthens candidacy significantly in New York's competitive market.
Which companies hire ai ml engineers in New York?
Employers hiring ai ml engineers in New York right now include Capital One, Amazon, and Spotify, based on current listings on Migrate Mate as of June 2026. New York's concentration of large financial institutions, media companies, and academic medical centers means demand is especially strong across those sectors.
Which New York cities have the most ai ml engineer jobs?
New York, New York, and New York City have the most ai ml engineer openings in New York. New York City dominates the distribution because of its dense concentration of financial services firms, advertising technology companies, and major hospital systems, while Albany and Buffalo draw demand from state government IT modernization programs and regional university research partnerships.
Are there remote ai ml engineer jobs in New York?
Yes, and more than most fields. About 31% of ai ml engineer openings tied to New York are remote or hybrid as of June 2026, reflecting the desk-based and code-driven nature of the work. Model development, research, and data pipeline work are the most commonly remote functions, while roles focused on deployment infrastructure inside regulated industries like finance or healthcare tend to require at least some on-site presence.
How can I get hired as a ai ml engineer in New York with little or no experience?
The most realistic entry path is a research assistant or junior data scientist role, which many large New York employers use as a feeder into dedicated ML engineering positions. Institutions like NYU, Columbia, and Cornell Tech run programs that connect students with New York industry partners, and companies including IBM and JPMorgan Chase offer structured early-career and new-graduate rotational programs. A strong portfolio of personal or academic ML projects, even without professional experience, is the credential that opens the most doors at New York employers.
Where can I find and apply to ai ml engineer jobs in New York?
You can find and apply to ai ml engineer jobs in New York on Migrate Mate, which lists current New York openings updated regularly. Search the listings, find the roles that fit your background and preferences, and apply directly to the employers posting them.
See All 397+ AI ML Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find AI ML Engineer Jobs