AI ML Engineering Jobs in USA with Visa Sponsorship
AI and ML engineering roles are among the most actively sponsored positions in the U.S. tech industry, with H-1B approval rates well above average for software-adjacent specialties. Employers filing for these roles typically require a master's or PhD in computer science, statistics, or a related quantitative field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsTransform Healthcare Through AI Innovation at Optum
Optum is a global organization delivering care, powered by data and technology, to help millions of people live healthier lives. At Optum.ai, we are not just witnessing the AI transformation in healthcare—we are leading it. Our mission is clear: to simplify healthcare with AI, turning insight into action at a scale few organizations in the world can match.
As part of the Optum.ai team, you'll work at the intersection of cutting-edge artificial intelligence and real-world healthcare impact. From reducing administrative burden for providers to anticipating patient needs and improving access to quality care, your work will help solve some of healthcare's most complex challenges—and directly improve health outcomes for millions of people.
You'll collaborate with world-class talent across data science, engineering, product, and healthcare domains, backed by the reach and stability of Optum and UnitedHealth Group. Here, responsible innovation matters. So do comprehensive benefits, meaningful career growth, and the opportunity to make a tangible difference—advancing health equity and creating a simpler, more connected healthcare experience for everyone.
This is more than a job. It's a chance to shape the future of healthcare through the transformative power of AI. Join us to start Caring. Connecting. Growing together.
Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the healthcare journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.
As a Senior Manager of AI/ML Engineering, you will lead teams responsible for building and operating scalable machine learning platforms and production ML systems across the enterprise. You will drive the design and implementation of ML infrastructure, model lifecycle management systems, and MLOps platforms that enable reliable experimentation, deployment, monitoring, and governance of machine learning and generative AI models. This role requires strong technical leadership, deep experience in MLOps and cloud-based ML platforms, and the ability to collaborate closely with data science, engineering, and platform teams.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
- Lead and scale AI/ML engineering teams responsible for building ML platforms, model pipelines, and scalable AI infrastructure
- Architect enterprise ML and GenAI platforms supporting experimentation, model training, evaluation, deployment, monitoring, and lifecycle management
- Productionize machine learning and generative AI models using batch and real-time inference architectures
- Build and operate MLOps and LLMOps pipelines including CI/CT/CD workflows for model testing, validation, versioning, and promotion across environments
- Develop scalable cloud-native ML infrastructure using Docker, Kubernetes, and cloud ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI
- Implement model monitoring and lifecycle management systems to track drift, latency, bias, and data quality while enabling automated retraining
- Ensure governance, security, and compliance of ML systems including lineage, auditability, reproducibility, and observability
- Partner with data scientists, data engineers, and software engineers to define production ML standards and scalable AI solutions
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
- 8+ years of experience in machine learning engineering, MLOps, or AI platform engineering building production ML systems and scalable model pipelines
- 5+ years of experience working with ML lifecycle platforms such as MLflow, Kubeflow, SageMaker, Azure ML, or GCP Vertex AI
- 5+ years of experience building cloud-native ML platforms using Docker, Kubernetes, and distributed systems
- 6+ years of experience programming in Python for ML systems with familiarity with frameworks such as PyTorch, TensorFlow, or scikit-learn
- 5+ years of experience working with distributed data processing and orchestration tools such as Spark, Ray, Airflow, Dagster, or Prefect
- 1+ year of experience using AI-assisted development or 'vibe coding' tools such as Codex, Claude Code, Cursor, Windsurf, or similar tools
Preferred Qualifications:
- Master's degree in Computer Science, Engineering, Data Science, or related discipline
- Experience building low-latency inference systems and online feature serving architectures
- Experience implementing Responsible AI practices including bias detection and model explainability
- Experience operating multi-cloud or hybrid ML platforms
- Contributions to open-source ML or MLOps tooling
OptumTechPJ
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone—of every race, gender, sexuality, age, location and income—deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes—an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Transform Healthcare Through AI Innovation at Optum
Optum is a global organization delivering care, powered by data and technology, to help millions of people live healthier lives. At Optum.ai, we are not just witnessing the AI transformation in healthcare—we are leading it. Our mission is clear: to simplify healthcare with AI, turning insight into action at a scale few organizations in the world can match.
As part of the Optum.ai team, you'll work at the intersection of cutting-edge artificial intelligence and real-world healthcare impact. From reducing administrative burden for providers to anticipating patient needs and improving access to quality care, your work will help solve some of healthcare's most complex challenges—and directly improve health outcomes for millions of people.
You'll collaborate with world-class talent across data science, engineering, product, and healthcare domains, backed by the reach and stability of Optum and UnitedHealth Group. Here, responsible innovation matters. So do comprehensive benefits, meaningful career growth, and the opportunity to make a tangible difference—advancing health equity and creating a simpler, more connected healthcare experience for everyone.
This is more than a job. It's a chance to shape the future of healthcare through the transformative power of AI. Join us to start Caring. Connecting. Growing together.
Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the healthcare journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.
As a Senior Manager of AI/ML Engineering, you will lead teams responsible for building and operating scalable machine learning platforms and production ML systems across the enterprise. You will drive the design and implementation of ML infrastructure, model lifecycle management systems, and MLOps platforms that enable reliable experimentation, deployment, monitoring, and governance of machine learning and generative AI models. This role requires strong technical leadership, deep experience in MLOps and cloud-based ML platforms, and the ability to collaborate closely with data science, engineering, and platform teams.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
- Lead and scale AI/ML engineering teams responsible for building ML platforms, model pipelines, and scalable AI infrastructure
- Architect enterprise ML and GenAI platforms supporting experimentation, model training, evaluation, deployment, monitoring, and lifecycle management
- Productionize machine learning and generative AI models using batch and real-time inference architectures
- Build and operate MLOps and LLMOps pipelines including CI/CT/CD workflows for model testing, validation, versioning, and promotion across environments
- Develop scalable cloud-native ML infrastructure using Docker, Kubernetes, and cloud ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI
- Implement model monitoring and lifecycle management systems to track drift, latency, bias, and data quality while enabling automated retraining
- Ensure governance, security, and compliance of ML systems including lineage, auditability, reproducibility, and observability
- Partner with data scientists, data engineers, and software engineers to define production ML standards and scalable AI solutions
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
- 8+ years of experience in machine learning engineering, MLOps, or AI platform engineering building production ML systems and scalable model pipelines
- 5+ years of experience working with ML lifecycle platforms such as MLflow, Kubeflow, SageMaker, Azure ML, or GCP Vertex AI
- 5+ years of experience building cloud-native ML platforms using Docker, Kubernetes, and distributed systems
- 6+ years of experience programming in Python for ML systems with familiarity with frameworks such as PyTorch, TensorFlow, or scikit-learn
- 5+ years of experience working with distributed data processing and orchestration tools such as Spark, Ray, Airflow, Dagster, or Prefect
- 1+ year of experience using AI-assisted development or 'vibe coding' tools such as Codex, Claude Code, Cursor, Windsurf, or similar tools
Preferred Qualifications:
- Master's degree in Computer Science, Engineering, Data Science, or related discipline
- Experience building low-latency inference systems and online feature serving architectures
- Experience implementing Responsible AI practices including bias detection and model explainability
- Experience operating multi-cloud or hybrid ML platforms
- Contributions to open-source ML or MLOps tooling
OptumTechPJ
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone—of every race, gender, sexuality, age, location and income—deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes—an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
How to Get Visa Sponsorship in AI ML Engineering
Target companies with a track record of ML hiring
Companies that have filed LCAs for machine learning engineer and research scientist roles consistently are far more likely to sponsor again. Established ML teams at larger firms have internal immigration infrastructure that makes the process faster and less uncertain for you.
Lead with your ML stack, not just your job title
Recruiters screening for sponsorship-eligible candidates want to see specific frameworks. PyTorch, TensorFlow, JAX, and Hugging Face experience signal genuine ML depth and make it easier for hiring managers to justify the sponsorship investment with supporting documentation.
A master's or PhD removes a major sponsorship barrier
Specialty occupation approval for AI and ML roles is significantly stronger when your degree directly matches the role. Computer science, electrical engineering, statistics, or applied mathematics degrees make the H-1B petition far cleaner for your employer's immigration attorney.
Research roles at universities and labs often offer cap-exempt H-1B sponsorship
National labs, research universities, and affiliated nonprofits can file H-1B petitions year-round without entering the lottery. If you're open to research-oriented ML positions, these employers give you a path to status that bypasses the annual cap entirely.
Quantify your model impact in every application
Sponsoring employers need to demonstrate the role requires a highly specialized professional. Framing your experience around measurable outcomes, such as accuracy improvements, latency reductions, or production-scale deployment, strengthens both your application and the eventual visa petition.
Browse visa-verified AI and ML roles on Migrate Mate
Not every job posting that mentions ML is open to sponsorship candidates. Migrate Mate filters specifically for employers willing to sponsor, so you're not wasting applications on roles that will screen you out the moment sponsorship comes up in conversation.
AI ML Engineering jobs are hiring across the US. Find yours.
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Get Access To All JobsFrequently Asked Questions
Do AI and ML engineering roles qualify for H-1B specialty occupation status?
Yes, and approval rates for ML engineering roles are consistently strong. USCIS treats positions requiring a bachelor's degree or higher in computer science, statistics, mathematics, or a closely related field as specialty occupations. Roles that require advanced knowledge of neural networks, model training pipelines, or large-scale inference systems are well-supported by the specialty occupation definition, particularly when paired with a graduate degree.
Does my degree field matter for H-1B sponsorship in AI and ML roles?
It matters significantly. Computer science, electrical engineering, applied mathematics, and statistics are the strongest degree fields for ML engineering petitions. A degree in a loosely related field, such as economics or business analytics, can create complications during adjudication if the employer's attorney can't draw a direct line between the coursework and the specific ML role. A master's or PhD in a core quantitative discipline removes most of the risk.
Are AI and ML engineering roles subject to the H-1B lottery?
Most are, unless you're working for a qualifying cap-exempt employer. Private tech companies, startups, and most corporations file cap-subject H-1B petitions that require selection in the annual lottery. Universities, affiliated nonprofit research organizations, and certain government research entities are cap-exempt and can sponsor H-1B workers year-round. If lottery timing is a concern, filtering for research-oriented ML roles at institutions is worth considering.
What types of employers sponsor the most AI and ML engineering roles?
Large technology firms account for the largest volume of ML engineering LCA filings, but mid-size AI-focused companies, financial institutions building quantitative models, and healthcare technology firms have become increasingly active sponsors. Defense contractors and national labs also sponsor significant numbers of ML roles, often outside the cap. You can browse sponsoring employers across all of these categories on Migrate Mate, filtered specifically for roles open to visa sponsorship.
Can I transfer my H-1B to a new AI or ML engineering role without losing my place in line?
Yes, H-1B portability allows you to start working for a new employer as soon as the transfer petition is filed, without waiting for approval, as long as you've been in valid H-1B status for at least 180 days. If you have an approved I-140 from a previous employer, you may also be able to retain your priority date when moving to a new ML role, which is significant given green card backlogs for employment-based categories.
What is the prevailing wage requirement for sponsored AI ML Engineering jobs?
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.
See which AI ML Engineering employers are hiring and sponsoring visas right now.
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