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.
Find AI ML Platform JobsOverview
Showing 5 of 7+ AI ML Platform jobs
About the Company
At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.
About the Role
We are seeking a highly skilled and motivated Sr. AI/ML Software Engineer to join our core Platform Team in Austin, Texas, New York, NY or Toronto, ON. You will be a key contributor to building and scaling the infrastructure that powers FutureSecure.AI’s intelligent interactions. This role is highly prioritized for engineers with a strong foundation in both high-level scripting languages and performant, compiled systems, coupled with experience in building robust distributed systems. You will be responsible for developing and maintaining the core components of our platform, enabling seamless integration of AI models and ensuring a world-class developer experience.
Responsibilities
- Platform Development: Design, develop, and maintain critical components of the FutureSecure.ai platform, focusing on scalability, reliability, and performance
- AI/ML Integration: Build and optimize integrations with large language models (LLMs), utilizing best practices for prompt engineering, tool use, streaming, and token management
- Distributed Systems Architecture: Implement and maintain robust distributed systems, leveraging concepts like durable execution, idempotency, retry semantics, and circuit breakers
- Developer Tooling: Develop and maintain developer-facing SDKs and platform tooling, prioritizing a clean, intuitive, and well-documented API surface
- Cloud Infrastructure: Provision and manage cloud infrastructure (AWS, Azure, or GCP) using cloud-native patterns and managed services
- Containerization & Orchestration: Deploy, operate, and scale containerized services using Docker and Kubernetes
- Performance Optimization: Identify and address performance bottlenecks across the entire stack, from application code to infrastructure
- Collaboration & Code Quality: Work closely with other engineers and researchers to deliver high-quality, well-tested code
Minimum Qualifications
- Bachelor's Degree in Computer Science, Electrical Engineering, a related field or relevant practical experience
- 5+ years of experience in a similar role
- Experience with TypeScript/Node.js and a compilation language such as Rust, Go, or C++
- Demonstrated experience with distributed systems concepts including durable execution, idempotency, retry semantics, and circuit breakers
- Experience with cloud platforms (AWS, Azure, or GCP) – infrastructure provisioning, managed services, and cloud-native patterns
- Experience deploying and operating containerized services (Docker, Kubernetes)
- Experience building or maintaining developer-facing SDKs or platform tooling where the API surface matters as much as the internals
- A broad and genuine curiosity across computer systems – operating systems, networking, security, databases, compilers
Preferred Qualifications
- Familiarity with LLM integration patterns including prompt engineering, tool use, streaming, and token management
Why Join Us?
- Impactful Work: Be part of a team that’s building the future of work and empowering people through AI
- Innovation: Work with cutting-edge machine learning technology and contribute to a rapidly evolving platform
- Growth Opportunities: We are a fast-growing company with ample opportunities for professional development
- Collaborative Culture: Join a team of passionate and talented individuals
- Competitive Compensation and Benefits: We offer a comprehensive package to reward your contributions
Disclaimer:
We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.
Future Secure AI Privacy Policy
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website and use our services.
About the Company
At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.
About the Role
We are seeking a highly skilled and motivated Sr. AI/ML Software Engineer to join our core Platform Team in Austin, Texas, New York, NY or Toronto, ON. You will be a key contributor to building and scaling the infrastructure that powers FutureSecure.AI’s intelligent interactions. This role is highly prioritized for engineers with a strong foundation in both high-level scripting languages and performant, compiled systems, coupled with experience in building robust distributed systems. You will be responsible for developing and maintaining the core components of our platform, enabling seamless integration of AI models and ensuring a world-class developer experience.
Responsibilities
- Platform Development: Design, develop, and maintain critical components of the FutureSecure.ai platform, focusing on scalability, reliability, and performance
- AI/ML Integration: Build and optimize integrations with large language models (LLMs), utilizing best practices for prompt engineering, tool use, streaming, and token management
- Distributed Systems Architecture: Implement and maintain robust distributed systems, leveraging concepts like durable execution, idempotency, retry semantics, and circuit breakers
- Developer Tooling: Develop and maintain developer-facing SDKs and platform tooling, prioritizing a clean, intuitive, and well-documented API surface
- Cloud Infrastructure: Provision and manage cloud infrastructure (AWS, Azure, or GCP) using cloud-native patterns and managed services
- Containerization & Orchestration: Deploy, operate, and scale containerized services using Docker and Kubernetes
- Performance Optimization: Identify and address performance bottlenecks across the entire stack, from application code to infrastructure
- Collaboration & Code Quality: Work closely with other engineers and researchers to deliver high-quality, well-tested code
Minimum Qualifications
- Bachelor's Degree in Computer Science, Electrical Engineering, a related field or relevant practical experience
- 5+ years of experience in a similar role
- Experience with TypeScript/Node.js and a compilation language such as Rust, Go, or C++
- Demonstrated experience with distributed systems concepts including durable execution, idempotency, retry semantics, and circuit breakers
- Experience with cloud platforms (AWS, Azure, or GCP) – infrastructure provisioning, managed services, and cloud-native patterns
- Experience deploying and operating containerized services (Docker, Kubernetes)
- Experience building or maintaining developer-facing SDKs or platform tooling where the API surface matters as much as the internals
- A broad and genuine curiosity across computer systems – operating systems, networking, security, databases, compilers
Preferred Qualifications
- Familiarity with LLM integration patterns including prompt engineering, tool use, streaming, and token management
Why Join Us?
- Impactful Work: Be part of a team that’s building the future of work and empowering people through AI
- Innovation: Work with cutting-edge machine learning technology and contribute to a rapidly evolving platform
- Growth Opportunities: We are a fast-growing company with ample opportunities for professional development
- Collaborative Culture: Join a team of passionate and talented individuals
- Competitive Compensation and Benefits: We offer a comprehensive package to reward your contributions
Disclaimer:
We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.
Future Secure AI Privacy Policy
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website and use our services.
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.
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
- Alixpartners1
- Future Secure AI1
- Gen Digital1
- Government Employees Insurance Company (Geico)1
- Morgan Stanley1
Top Industries Hiring
- Insurance2
- Technology & Software2
- Consulting & Professional Services1
- Investment & Asset Management1
- Law & Legal Services1
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 Alixpartners, Future Secure AI, and Gen Digital, based on current listings on Migrate Mate as of June 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 57% of ai ml platform openings tied to New York are remote or hybrid as of June 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.
Find AI ML Platform Jobs