Green Card AI ML Engineering Jobs
AI ML Engineering roles qualify for green card sponsorship under EB-2 for advanced-degree professionals and EB-3 for skilled practitioners. Employers file a PERM labor certification with DOL before petitioning USCIS, locking in your priority date and building toward permanent residency rather than a temporary visa tied to annual renewals.
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Get Access To All JobsINTRODUCTION
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
As a Senior Manager, AI/ML Engineering within our UHC Operations and Experience division at Optum Technology, you will lead a highly skilled team of engineers driving next-generation machine learning and artificial intelligence capabilities. Our team's mission is to (Input Required: Insert Team Mission/Vision). In this role, you will lead the architecture, design, and deployment of complex AI/ML software in production environments, using technologies such as natural language processing (NLP), natural language understanding (NLU), and deep learning.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. This position follows a hybrid schedule with four in-office days per week.
PRIMARY RESPONSIBILITIES:
- Lead, mentor, and grow a team of high-performing AI/ML Engineers focused on researching, developing, and deploying advanced machine learning models and algorithms in production environments
- Oversee the design, development, and deployment of complex AI-powered solutions addressing business challenges, ensuring collaboration across research, engineering, and product teams to translate cutting-edge AI advancements into scalable, reusable production-ready capabilities
- Evaluate emerging AI trends, scientific research, and advanced methodologies to inform team solution design, architectural direction, and strategic innovation
- Promote the leverage of enterprise-approved AI tools within the team to streamline engineering workflows, automate routine tasks, and drive continuous improvement
- Direct the development of scalable code and software systems that integrate advanced artificial intelligence capabilities (including NLP, NLU, deep learning, computer vision, and automatic speech recognition)
- Partner with leadership, product owners, and internal stakeholders to translate complex analytics results, business needs, and cutting-edge research findings into practical, production-ready AI solutions
- Ensure rigorous experimental methodologies, advanced statistical analysis, probability theory, and optimization techniques are applied systematically across all model developments
- Oversee ML operations (MLOps) workflows, ensuring seamless model monitoring, validation, version control, and continuous integration/deployment
- Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the complete model research and development lifecycle
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:
- Bachelor's degree or equivalent experience
- 7+ years of experience in software engineering, with at least 4+ years of specialized experience in AI, machine learning, deep learning, or data science
- 5+ years of experience coding in Python for tool-building, model training, and data analysis
- 4+ years of experience implementing machine learning models in production environments using frameworks such as TensorFlow, PyTorch, or Scikit-Learn
- 3+ years of experience working with large-scale data systems and distributed computing frameworks (e.g., Spark, Hadoop, Kafka, or Databricks)
- 3+ years of experience building and deploying software solutions within cloud-based platforms, specifically Azure
- 3+ years of experience applying experimental methodologies, statistics, optimization, and probability theory to solve complex technical problems
- 3+ years of experience directly leading, mentoring, or managing technical teams of software or AI/ML engineers
PREFERRED QUALIFICATIONS:
- Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative technical field
- Experience with NLP/NLU (natural language processing/understanding), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR)
- Experience developing applications with LLM integration using advanced frameworks such as LangChain and LangGraph
- Experience in the healthcare, clinical data, or operations domains
- Solid knowledge of MLOps best practices, model tracking (e.g., MLflow, Kubeflow), and cloud-based AI deployment (e.g., AWS, Azure, GCP)
- Proven excellent communication skills, with a demonstrated ability to explain complex statistical and analytical concepts to non-technical business partners and leadership
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
COMPENSATION
- Salary Range: $148,900 - $255,300 annually based on full-time employment
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). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. 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.
INTRODUCTION
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
As a Senior Manager, AI/ML Engineering within our UHC Operations and Experience division at Optum Technology, you will lead a highly skilled team of engineers driving next-generation machine learning and artificial intelligence capabilities. Our team's mission is to (Input Required: Insert Team Mission/Vision). In this role, you will lead the architecture, design, and deployment of complex AI/ML software in production environments, using technologies such as natural language processing (NLP), natural language understanding (NLU), and deep learning.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. This position follows a hybrid schedule with four in-office days per week.
PRIMARY RESPONSIBILITIES:
- Lead, mentor, and grow a team of high-performing AI/ML Engineers focused on researching, developing, and deploying advanced machine learning models and algorithms in production environments
- Oversee the design, development, and deployment of complex AI-powered solutions addressing business challenges, ensuring collaboration across research, engineering, and product teams to translate cutting-edge AI advancements into scalable, reusable production-ready capabilities
- Evaluate emerging AI trends, scientific research, and advanced methodologies to inform team solution design, architectural direction, and strategic innovation
- Promote the leverage of enterprise-approved AI tools within the team to streamline engineering workflows, automate routine tasks, and drive continuous improvement
- Direct the development of scalable code and software systems that integrate advanced artificial intelligence capabilities (including NLP, NLU, deep learning, computer vision, and automatic speech recognition)
- Partner with leadership, product owners, and internal stakeholders to translate complex analytics results, business needs, and cutting-edge research findings into practical, production-ready AI solutions
- Ensure rigorous experimental methodologies, advanced statistical analysis, probability theory, and optimization techniques are applied systematically across all model developments
- Oversee ML operations (MLOps) workflows, ensuring seamless model monitoring, validation, version control, and continuous integration/deployment
- Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the complete model research and development lifecycle
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:
- Bachelor's degree or equivalent experience
- 7+ years of experience in software engineering, with at least 4+ years of specialized experience in AI, machine learning, deep learning, or data science
- 5+ years of experience coding in Python for tool-building, model training, and data analysis
- 4+ years of experience implementing machine learning models in production environments using frameworks such as TensorFlow, PyTorch, or Scikit-Learn
- 3+ years of experience working with large-scale data systems and distributed computing frameworks (e.g., Spark, Hadoop, Kafka, or Databricks)
- 3+ years of experience building and deploying software solutions within cloud-based platforms, specifically Azure
- 3+ years of experience applying experimental methodologies, statistics, optimization, and probability theory to solve complex technical problems
- 3+ years of experience directly leading, mentoring, or managing technical teams of software or AI/ML engineers
PREFERRED QUALIFICATIONS:
- Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative technical field
- Experience with NLP/NLU (natural language processing/understanding), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR)
- Experience developing applications with LLM integration using advanced frameworks such as LangChain and LangGraph
- Experience in the healthcare, clinical data, or operations domains
- Solid knowledge of MLOps best practices, model tracking (e.g., MLflow, Kubeflow), and cloud-based AI deployment (e.g., AWS, Azure, GCP)
- Proven excellent communication skills, with a demonstrated ability to explain complex statistical and analytical concepts to non-technical business partners and leadership
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
COMPENSATION
- Salary Range: $148,900 - $255,300 annually based on full-time employment
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). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. 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.
See all 3,482+ Green Card AI ML Engineering Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship in AI ML Engineering
Document your ML credentials before applying
PERM requires proving your qualifications match the job's minimum requirements exactly. Gather transcripts, publications, patents, and employer letters that map your ML experience to the specific SOC code your role will be filed under.
Check if your role qualifies for EB-2
AI ML Engineering positions frequently require a master's degree or its equivalent in computer science or a related field. Confirm your employer intends to file under EB-2 before accepting an offer, since EB-2 priority dates move faster for most nationalities.
Target employers with active PERM filing history
Use Migrate Mate to filter AI ML Engineering roles by employers who have actively filed PERM labor certifications, so you spend your time on companies that already sponsor green cards rather than those still figuring out the process.
Ask about concurrent filing eligibility early
If your priority date is current when your I-140 is approved, your employer can file the I-485 adjustment of status concurrently. For Indian and Chinese nationals in EB-2, this is rarely immediate, so start PERM discussions as early as possible.
Verify your employer uses E-Verify before signing
DOL requires PERM employers to post job notices and complete a good-faith recruitment process. E-Verify enrollment signals the employer has the HR infrastructure to handle sponsored hires, which reduces the risk of a PERM audit derailing your timeline.
Use OFLC Wage Search to negotiate your offer
PERM locks your offered wage at or above the DOL prevailing wage for your SOC code and location. Run the OFLC Wage Search before negotiating so you know the floor, and confirm your offer letter reflects that certified wage level.
Green Card AI ML Engineering: Frequently Asked Questions
Does an AI ML Engineering role typically qualify as a specialty occupation for green card purposes?
Yes. AI ML Engineering positions routinely require at minimum a bachelor's degree in computer science, mathematics, or a closely related field, which meets USCIS's specialty occupation standard. Roles involving model architecture, training pipelines, or ML infrastructure typically satisfy EB-2 requirements when the employer mandates an advanced degree, and EB-3 when a bachelor's degree is the minimum requirement.
How does PERM green card sponsorship differ from H-1B for AI ML professionals?
H-1B visa is a temporary work visa with a three-year initial period, an annual lottery, and no guaranteed path to permanency. PERM green card sponsorship is a multi-step permanent residency process starting with DOL labor certification, followed by an I-140 immigrant petition, and then adjustment of status or consular processing. There is no lottery at the EB-2 or EB-3 level, though nationals of India and China face priority-date backlogs that can extend timelines significantly.
Which EB category is more common for AI ML Engineering roles, EB-2 or EB-3?
EB-2 is more common for senior and research-focused AI ML roles where the employer genuinely requires an advanced degree. EB-3 covers roles where a bachelor's degree is the stated minimum. Your employer's immigration counsel will determine the category based on the actual job duties and minimum requirements set before PERM recruitment begins, not on your personal credentials.
How can I find AI ML Engineering jobs where the employer already sponsors green cards?
Migrate Mate lets you search AI ML Engineering roles specifically filtered by employers with active PERM and I-140 filing history, so you can identify companies that have already navigated the sponsorship process. This is more reliable than asking recruiters upfront, since many hiring managers don't know their own company's PERM history until HR confirms it.
What happens to my green card case if I change employers during the PERM process?
Changing employers before your I-140 is approved restarts the PERM process entirely. Once your I-140 has been approved for at least 180 days, AC21 portability lets you move to a new employer in a same or similar occupational classification without losing your priority date. For AI ML professionals, this typically means staying within SOC codes covering software development or computer and information research science roles.