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 visa 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.
Find AI ML Engineering JobsOverview
Showing 5 of 4,097+ AI ML Engineering jobs
See all 4,097+ AI ML Engineering Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineering roles.
Get Access To All JobsCompany Description
NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation.
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
Job Description
We are seeking an experienced Tech Lead to grow out and lead a team of Deep Learning engineers who will be pursuing an agenda to productionize cutting edge 2D/3D computer vision/graph theory research from academia.
Key Responsibilities
- Stakeholder Management: Steward the end-to-end planning, execution, and delivery of a scoped machine learning applied science agenda.
- Cross-Functional Coordination: Act as the primary point of contact with the infrastructure and data pipeline teams to get the requests of your team addressed.
- Set Research Agenda: Exhibit strong judgement in derisking core hypotheses and updating research direction informed by ongoing advances in the state of the art.
Qualifications
- Graduate degree in Artificial Intelligence/Machine Learning or related
- Publication record in top AI/ML/CV venues or other evidence of advancing the state of the art in one or more AI subfields.
- Proven experience as an Engineering Manager in a customer facing AI/ML team.
- Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development or aerospace.
- Prior experience having a team of around 5 direct reports, establishing ways of working, and developing them to be high performing.
- High attention to detail and conscientiousness.
- Ability to translate customer requests and turn them into actionable technical requirement documents in collaboration with ML engineers.
- Fluency with the entire machine learning lifecycle, including infrastructure for data, training and deployment.
- Fluency with machine learning fundamentals.
- Familiarity with Python, Git, PyTorch and the Unix shell.
- Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, an experiment tracking framework, a data dashboard app.
Desired Characteristics:
- Experience with Adaptive or Lean methodologies.
- Organizational and leadership skills, with the ability to mentor, motivate and guide a diverse team.
- An intuition and enthusiasm for launching groundbreaking, deep tech products.
- Problem-solving skills, attention to detail, and the ability to thrive in a fast-paced environment.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Salary range: $245,000-$270,000 (bonus eligible).
We are accepting applications for this position on an ongoing basis.
Additional Information
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com.
For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.
Company Description
NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation.
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
Job Description
We are seeking an experienced Tech Lead to grow out and lead a team of Deep Learning engineers who will be pursuing an agenda to productionize cutting edge 2D/3D computer vision/graph theory research from academia.
Key Responsibilities
- Stakeholder Management: Steward the end-to-end planning, execution, and delivery of a scoped machine learning applied science agenda.
- Cross-Functional Coordination: Act as the primary point of contact with the infrastructure and data pipeline teams to get the requests of your team addressed.
- Set Research Agenda: Exhibit strong judgement in derisking core hypotheses and updating research direction informed by ongoing advances in the state of the art.
Qualifications
- Graduate degree in Artificial Intelligence/Machine Learning or related
- Publication record in top AI/ML/CV venues or other evidence of advancing the state of the art in one or more AI subfields.
- Proven experience as an Engineering Manager in a customer facing AI/ML team.
- Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development or aerospace.
- Prior experience having a team of around 5 direct reports, establishing ways of working, and developing them to be high performing.
- High attention to detail and conscientiousness.
- Ability to translate customer requests and turn them into actionable technical requirement documents in collaboration with ML engineers.
- Fluency with the entire machine learning lifecycle, including infrastructure for data, training and deployment.
- Fluency with machine learning fundamentals.
- Familiarity with Python, Git, PyTorch and the Unix shell.
- Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, an experiment tracking framework, a data dashboard app.
Desired Characteristics:
- Experience with Adaptive or Lean methodologies.
- Organizational and leadership skills, with the ability to mentor, motivate and guide a diverse team.
- An intuition and enthusiasm for launching groundbreaking, deep tech products.
- Problem-solving skills, attention to detail, and the ability to thrive in a fast-paced environment.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Salary range: $245,000-$270,000 (bonus eligible).
We are accepting applications for this position on an ongoing basis.
Additional Information
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com.
For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.
See all 4,097+ AI ML Engineering Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineering roles.
Get Access To All JobsTips for Finding AI ML Engineering Jobs
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.
Frequently 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 visa 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.