Machine Learning Visa Sponsorship Jobs in New York
New York is one of the top states for machine learning visa sponsorship, with major employers including Google, Meta, IBM, Bloomberg, and JPMorgan Chase spread across Manhattan, Brooklyn, and the broader metro area. The finance, media, and tech sectors all run substantial ML teams, making New York a strong target for international candidates pursuing H-1B and O-1 sponsorship.
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We are seeking a Senior ML Engineer to build and scale the machine learning systems that power our intelligent robots. In this role, you will design and maintain the infrastructure for training, evaluating, and deploying the ML models that enable robot locomotion, perception, manipulation, navigation, and human-robot interaction.
You'll work at the intersection of machine learning and systems engineering, ensuring our ML training and deployment systems are robust, efficient, and scalable as we grow from prototype to production.
Key job responsibilities
- Design and build scalable ML training infrastructure, including distributed training pipelines and GPU cluster management both in the cloud and on-prem
- Develop systems for experiment tracking, model versioning, and reproducibility
- Build deployment infrastructure for serving ML models on robotic hardware with strict latency requirements
- Optimize model inference for edge devices and embedded systems
- Collaborate with research teams to accelerate the path from experimentation to production
- Contribute to data pipelines and labeling infrastructure as needed, in partnership with the data platform team
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree or above in computer science, machine learning, engineering, or related fields, or Master's degree
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in development in the last 3 years
- Experience with machine learning (ML) tools and methods
- Experience in Kubernetes, Docker or containers ecosystem, or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP)
PREFERRED QUALIFICATIONS
- Experience building and operating a cloud-based architecture
- Experience with robotics data (sensor streams, video, point clouds) and real-time inference systems
- Familiarity with model optimization techniques (quantization, pruning, distillation)
- Experience with reinforcement learning or simulation-based training pipelines
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
DESCRIPTION
We are seeking a Senior ML Engineer to build and scale the machine learning systems that power our intelligent robots. In this role, you will design and maintain the infrastructure for training, evaluating, and deploying the ML models that enable robot locomotion, perception, manipulation, navigation, and human-robot interaction.
You'll work at the intersection of machine learning and systems engineering, ensuring our ML training and deployment systems are robust, efficient, and scalable as we grow from prototype to production.
Key job responsibilities
- Design and build scalable ML training infrastructure, including distributed training pipelines and GPU cluster management both in the cloud and on-prem
- Develop systems for experiment tracking, model versioning, and reproducibility
- Build deployment infrastructure for serving ML models on robotic hardware with strict latency requirements
- Optimize model inference for edge devices and embedded systems
- Collaborate with research teams to accelerate the path from experimentation to production
- Contribute to data pipelines and labeling infrastructure as needed, in partnership with the data platform team
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree or above in computer science, machine learning, engineering, or related fields, or Master's degree
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in development in the last 3 years
- Experience with machine learning (ML) tools and methods
- Experience in Kubernetes, Docker or containers ecosystem, or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP)
PREFERRED QUALIFICATIONS
- Experience building and operating a cloud-based architecture
- Experience with robotics data (sensor streams, video, point clouds) and real-time inference systems
- Familiarity with model optimization techniques (quantization, pruning, distillation)
- Experience with reinforcement learning or simulation-based training pipelines
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
Machine Learning Job Roles in New York
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Search Machine Learning Jobs in New YorkMachine Learning Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in New York?
Large technology and finance companies are the most active sponsors. Google, Meta, Amazon, IBM, Microsoft, Bloomberg, JPMorgan Chase, Goldman Sachs, and Two Sigma have all filed significant numbers of H-1B petitions for machine learning and AI roles in New York. Established mid-size companies in adtech, healthtech, and fintech also sponsor regularly, though their volume is lower than the major players.
Which visa types are most common for machine learning roles in New York?
The H-1B is by far the most common visa for machine learning engineers and researchers in New York, as ML roles typically require at minimum a bachelor's degree in computer science, statistics, or a related field, satisfying the specialty occupation standard. The O-1A is an alternative for candidates with published research, conference presentations, or other documented recognition in the field. Some researchers enter on J-1 status through university or institutional exchange programs.
Which cities in New York have the most machine learning sponsorship jobs?
New York City accounts for the overwhelming majority of machine learning sponsorship activity in the state. Manhattan concentrates finance and enterprise tech employers, while Brooklyn has a growing tech presence around the Navy Yard and DUMBO areas. Albany, Buffalo, and Rochester have smaller but active ML hiring markets tied to state government initiatives, university research, and regional healthcare systems. Remote-eligible roles listed under a New York address are also common.
How to find machine learning visa sponsorship jobs in New York?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search machine learning roles in New York without sorting through positions that won't support international candidates. The platform covers openings at both large sponsors like Google and IBM and smaller companies that actively hire on H-1B. Filtering by New York and the machine learning category surfaces the most relevant listings for your search.
Are there any state-specific considerations for machine learning candidates pursuing sponsorship in New York?
New York's strong university pipeline, particularly from Columbia, NYU, and Cornell Tech on Roosevelt Island, means employers here are experienced with OPT and STEM OPT extensions as a precursor to H-1B sponsorship. The state's finance sector sets a high bar for applied ML skills, favoring candidates with production experience over purely academic backgrounds. New York City's cost of living means prevailing wage determinations for ML roles tend to fall in higher DOL wage tiers compared to most other states.
What is the prevailing wage for sponsored machine learning jobs in New York?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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