AI ML Platform Jobs in New York
AI ML Platform jobs in New York are among the most active in the country, concentrated in financial services, media and advertising technology, healthcare analytics, and enterprise software, with openings at every level from junior engineer through principal architect. Most hiring is anchored in New York City, with additional demand in Buffalo and Albany as state government and university-affiliated research centers invest in AI infrastructure. Established employers with deep New York roots include JPMorgan Chase, IBM, and Bloomberg, which consistently hire for platform engineering, MLOps, and model deployment roles. Find a role that fits below and apply directly.
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At Apple, we work every day to create products that enrich people's lives. Our Apple Ads group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in the App Store, Apple Maps, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy.
The Apple Ads Machine Learning Platform team's mission is to empower Ads teams to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers. Are you a results-oriented and versatile engineer who can excel in a fast-paced environment? You will work closely with ML engineers and scientists to design, develop, and build world-class platform capabilities that will enable Ads teams to improve and scale our ML features, models, and applications.
Description
The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Ads teams. As a key contributor to this team, you will design and develop secure and scalable back-end systems. You will enjoy building high-performing, elegant systems from the ground up, in close partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solutions for the unique ad network challenges we face. You will play a meaningful role building machine learning products which deliver on Apple's privacy commitments and change the way advertising works with data.
Join us and contribute to a culture that emphasizes reliability, simplicity, and scalability. You will join a team of world-class machine learning engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing each other's growth and supporting each other in delivering for our customers!
Preferred Qualifications
Experience in advertising industry
Experience with distributed training and/or optimizing large-scale models for low-latency serving
Experience building infrastructure for diverse sets of model development use cases including LLMs, multimodal models, classical ML, and reinforcement learning.
Experience building and/or operationalizing foundation models
Experience with agentic AI
Prior experience in privacy-preserving ML
PhD in Computer Science or related field with 3+ years of engineering experience and 5+ years of machine learning experience; or MS in Computer Science or related field with 6+ years of engineering experience and 5+ years of machine learning experience; or BS in Computer Science or related field with 7+ years of engineering experience and 5+ years of machine learning experience
Minimum Qualifications
Experience writing mission-critical code for production machine learning systems
Experience building ML infrastructure, frameworks or services used by multiple teams
Experience building SDKs, API, and automation UIs used by development teams
Proven experience building automation and CI/CD
Passionate about improving the developer experience for AI/ML practitioners
Solid understanding of the ML lifecycle: training, evaluation, deployment and serving/inferencing, with working experience building and deploying models
Solid understanding of model evaluation, train-serve skew and data drift
Working knowledge of deep learning architectures and training frameworks such as PyTorch or TensorFlow
Prior experience applying ML at scale in advertising, recommender systems, information retrieval or related domains
Strong problem solving, debugging and performance tuning skills
Results oriented, with the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
Product-minded with a proven ability to seek projects with a sense of ownership
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
At Apple, we work every day to create products that enrich people's lives. Our Apple Ads group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in the App Store, Apple Maps, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy.
The Apple Ads Machine Learning Platform team's mission is to empower Ads teams to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers. Are you a results-oriented and versatile engineer who can excel in a fast-paced environment? You will work closely with ML engineers and scientists to design, develop, and build world-class platform capabilities that will enable Ads teams to improve and scale our ML features, models, and applications.
Description
The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Ads teams. As a key contributor to this team, you will design and develop secure and scalable back-end systems. You will enjoy building high-performing, elegant systems from the ground up, in close partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solutions for the unique ad network challenges we face. You will play a meaningful role building machine learning products which deliver on Apple's privacy commitments and change the way advertising works with data.
Join us and contribute to a culture that emphasizes reliability, simplicity, and scalability. You will join a team of world-class machine learning engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing each other's growth and supporting each other in delivering for our customers!
Preferred Qualifications
Experience in advertising industry
Experience with distributed training and/or optimizing large-scale models for low-latency serving
Experience building infrastructure for diverse sets of model development use cases including LLMs, multimodal models, classical ML, and reinforcement learning.
Experience building and/or operationalizing foundation models
Experience with agentic AI
Prior experience in privacy-preserving ML
PhD in Computer Science or related field with 3+ years of engineering experience and 5+ years of machine learning experience; or MS in Computer Science or related field with 6+ years of engineering experience and 5+ years of machine learning experience; or BS in Computer Science or related field with 7+ years of engineering experience and 5+ years of machine learning experience
Minimum Qualifications
Experience writing mission-critical code for production machine learning systems
Experience building ML infrastructure, frameworks or services used by multiple teams
Experience building SDKs, API, and automation UIs used by development teams
Proven experience building automation and CI/CD
Passionate about improving the developer experience for AI/ML practitioners
Solid understanding of the ML lifecycle: training, evaluation, deployment and serving/inferencing, with working experience building and deploying models
Solid understanding of model evaluation, train-serve skew and data drift
Working knowledge of deep learning architectures and training frameworks such as PyTorch or TensorFlow
Prior experience applying ML at scale in advertising, recommender systems, information retrieval or related domains
Strong problem solving, debugging and performance tuning skills
Results oriented, with the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
Product-minded with a proven ability to seek projects with a sense of ownership
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See All 7 AI ML Platform Jobs in New York
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Find AI ML Platform JobsAI ML Platform Jobs by City in New York
Where New York roles are concentrated, by current openings.
AI ML Platform Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Insurance
- Media & Entertainment
What New York Employers Look For
The qualifications that appear most often in AI ML platform jobs across New York.
- Bachelor's or master's degree in computer science, machine learning, or a related engineering field
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or JAX
- Proficiency building and maintaining ML pipelines and feature stores at production scale
- Familiarity with cloud platforms including AWS SageMaker, Google Vertex AI, or Azure ML
- Experience with containerization and orchestration tools such as Docker and Kubernetes
- Strong programming skills in Python along with knowledge of distributed computing frameworks
AI ML Platform Jobs in New York: Frequently Asked Questions
How do you become a ai ml platform in New York?
New York does not require a state-issued license for ai ml platform roles, so the path runs through education and demonstrated technical experience. Most candidates hold a bachelor's or master's degree in computer science, data engineering, or a related field from institutions like NYU, Columbia, or Cornell Tech. Building a portfolio of production ML systems, contributing to open-source MLOps projects, and earning cloud certifications from AWS or Google strengthens a New York application considerably.
Which companies hire ai ml platforms in New York?
Employers hiring ai ml platforms in New York right now include GEICO, Apple, and Braze, based on current listings on Migrate Mate as of November 2026. New York's dense concentration of financial services firms, advertising technology companies, and large healthcare networks makes it one of the deepest markets in the country for this role.
Which New York cities have the most ai ml platform jobs?
New York and New York City have the most ai ml platform openings in New York. New York City dominates by volume because of its concentration of global banks, media conglomerates, and enterprise software companies, while Buffalo and Albany draw demand from university research partnerships and state agency modernization programs that are actively building out AI infrastructure.
Are there remote ai ml platform jobs in New York?
Yes, and more than most fields. About 100% of ai ml platform openings tied to New York are remote or hybrid as of November 2026, reflecting how central this role is to cloud-native and distributed engineering teams. Model training, pipeline development, and platform tooling work are the most commonly offered as fully remote, while on-call production support and team-embedded roles tend to require some in-office presence.
How can I get hired as a ai ml platform in New York with little or no experience?
The most realistic entry path is a junior MLOps or data platform engineer role, which large New York employers like JPMorgan Chase and IBM staff through new-graduate hiring programs and rotational technology tracks. Candidates coming from data engineering, software engineering, or cloud infrastructure can move laterally into ai ml platform work by demonstrating pipeline and deployment skills. A strong GitHub portfolio, a cloud certification, and familiarity with tools like Kubeflow or MLflow give candidates without direct experience a concrete edge in New York interviews.
Where can I find and apply to ai ml platform jobs in New York?
You can find and apply to ai ml platform jobs in New York on Migrate Mate, which lists current New York openings updated regularly. Search the available roles, identify the ones that match your experience and location preference, and apply directly to each position through the listing.
See All 7 AI ML Platform Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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