AI Product Engineer Jobs in USA with Visa Sponsorship
AI Product Engineers are strong H-1B visa candidates, the role requires a computer science or engineering degree and sits squarely within USCIS specialty occupation criteria. Employers at AI-focused startups and established tech companies regularly sponsor H-1B, O-1 visa, and L-1 visas for this title. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
We have been quietly building the foundational layers of our Physical AI Scientist platform:
Physical AI that can operate scientific instruments with human-level dexterity.
Scientific AI that can analyze results, reason about next steps, and close the loop autonomously.
This is an incredibly ambitious mission, but we believe that a team of ambitious people with high ownership can accomplish incredible things.
THE TEAM
- We’re a team of passionate, mission-driven engineers from companies like Tesla, Amazon, SpaceX, and Neuralink. We’re collaborative and love moving fast, both with our product and on team trips skiing or go-karting!
- As a team, we love nerding out about engineering and robotics — plus other topics like race cars or cooking. We like learning new things and then sharing our new knowledge with each other.
- Our team is opinionated and straightforward. We don’t mind intense discussions about design tradeoffs. If we have arguments or miscommunication, we resolve conflicts quickly and empathetically.
ROLE AND RESPONSIBILITIES
In this role, you will:
- Help us build our Scientific AI tools for customers and accelerate the pace of scientific discovery
- Develop agentic workflows that plan, execute, and verify multi-step tasks
- Ship customer-facing features end-to-end, from prototype to production
- Leverage your expertise in AI and product building to help define our roadmap
BASIC QUALIFICATIONS
Let's talk if you have:
- 3+ years of experience shipping real software in production
- Practical experience building AI-driven workflows into products
- Professional experience building and scaling production systems, including APIs, data pipelines, and distributed services
- Strong Python and/or Typescript skills
- Strong product instincts: ability to scope, iterate, and deliver under ambiguity
This position is 100% in-person, you must be able to come on-site to our San Francisco office. We offer relocation benefits for applicants who need to relocate.
WHAT WE OFFER
- An opportunity to change the way that scientific research happens
- Fast-paced, creative, and collaborative work environment
- Significant equity ownership
- 401k
- Medical insurance and dental insurance
- Unlimited PTO
- Weekday dinners
Medra is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. We value diversity at Medra and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!
INTRODUCTION
We have been quietly building the foundational layers of our Physical AI Scientist platform:
Physical AI that can operate scientific instruments with human-level dexterity.
Scientific AI that can analyze results, reason about next steps, and close the loop autonomously.
This is an incredibly ambitious mission, but we believe that a team of ambitious people with high ownership can accomplish incredible things.
THE TEAM
- We’re a team of passionate, mission-driven engineers from companies like Tesla, Amazon, SpaceX, and Neuralink. We’re collaborative and love moving fast, both with our product and on team trips skiing or go-karting!
- As a team, we love nerding out about engineering and robotics — plus other topics like race cars or cooking. We like learning new things and then sharing our new knowledge with each other.
- Our team is opinionated and straightforward. We don’t mind intense discussions about design tradeoffs. If we have arguments or miscommunication, we resolve conflicts quickly and empathetically.
ROLE AND RESPONSIBILITIES
In this role, you will:
- Help us build our Scientific AI tools for customers and accelerate the pace of scientific discovery
- Develop agentic workflows that plan, execute, and verify multi-step tasks
- Ship customer-facing features end-to-end, from prototype to production
- Leverage your expertise in AI and product building to help define our roadmap
BASIC QUALIFICATIONS
Let's talk if you have:
- 3+ years of experience shipping real software in production
- Practical experience building AI-driven workflows into products
- Professional experience building and scaling production systems, including APIs, data pipelines, and distributed services
- Strong Python and/or Typescript skills
- Strong product instincts: ability to scope, iterate, and deliver under ambiguity
This position is 100% in-person, you must be able to come on-site to our San Francisco office. We offer relocation benefits for applicants who need to relocate.
WHAT WE OFFER
- An opportunity to change the way that scientific research happens
- Fast-paced, creative, and collaborative work environment
- Significant equity ownership
- 401k
- Medical insurance and dental insurance
- Unlimited PTO
- Weekday dinners
Medra is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. We value diversity at Medra and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI Product Engineer
Target AI-native companies first
Companies building AI products as their core business, not as a side initiative, file more LCAs for this title and have established sponsorship pipelines. Their legal teams already know the H-1B process, which reduces friction and delays for new hires.
Align your degree field to the role
USCIS requires a direct relationship between your degree and the job. Computer science, software engineering, and machine learning degrees map cleanly. A business degree, even with a technical minor, may trigger an RFE for this specialty occupation title.
Document your AI-specific experience before interviews
Prepare a concise summary of your product contributions: models you've shipped, inference infrastructure you've built, and measurable outcomes. Employers assessing sponsorship risk want evidence you can contribute immediately, which shortens internal approval timelines.
Understand the H-1B lottery timeline early
Registrations open in March for an October 1 start date. If you're on OPT, confirm your STEM extension eligibility. Missing the lottery window means waiting a full year, so plan your job search around the annual H-1B registration cycle.
O-1A is a realistic alternative for experienced engineers
If you have published research, patents, open-source projects with significant adoption, or a track record of leading AI initiatives, the O-1A visa bypasses the lottery entirely. Immigration counsel can assess your qualifications based on documented achievements.
Clarify sponsorship scope before accepting an offer
Some employers will file an H-1B petition but won't cover premium processing or legal fees. Others offer full sponsorship through green card. Ask specifically what's included so you can evaluate the offer with complete information before signing.
Frequently Asked Questions
Does AI Product Engineer qualify as a specialty occupation for H-1B purposes?
Yes. USCIS consistently approves H-1B visa petitions for AI Product Engineer roles when the position requires a bachelor's degree or higher in computer science, software engineering, or a closely related field. The key is that the job description must demonstrate the degree is a minimum requirement, not a preference. Generic language like 'degree preferred' rather than 'degree required' has triggered RFEs in this category, so the offer letter and LCA documentation matter significantly.
Which visa types do employers commonly use to sponsor AI Product Engineers?
H-1B is the most common path, particularly for candidates already in the U.S. on F-1 OPT or STEM OPT. O-1A is increasingly viable for engineers with notable research publications, patents, or open-source contributions that demonstrate extraordinary ability. L-1B works for engineers transferring from a foreign office of the same company. Candidates from Australia may also qualify for the E-3 visa, which has no lottery and significantly faster processing.
What degree field do I need to get sponsored as an AI Product Engineer?
Computer science, software engineering, electrical engineering, or machine learning are the most defensible degree fields for this title. Data science degrees are generally accepted. A degree in a non-technical field, even with extensive self-taught experience, creates sponsorship risk because USCIS evaluates the formal credential, not practical skill. If your degree field is adjacent rather than direct, a credential evaluation and employment history letter from an expert witness can strengthen the petition.
Are AI Product Engineer roles harder to get sponsored for at startups versus large tech companies?
Large companies have dedicated immigration teams and established H-1B processes, which makes the internal approval faster and the petition more polished. Early-stage startups often sponsor successfully too, but they may lack prior LCA filings, which USCIS treats as a neutral factor, not a negative one. The real risk at startups is financial stability: USCIS scrutinizes whether the employer can pay the prevailing wage for the full petition period. Series A and later-stage startups with clear funding runway typically sponsor without difficulty.
Where can I find AI Product Engineer roles that offer visa sponsorship?
Migrate Mate lists AI Product Engineer positions from employers who have confirmed they sponsor work visas, so you're not filtering through hundreds of roles that don't apply to your situation. The platform is built specifically for international candidates, which means job listings surface sponsorship details that generic job boards omit. Browsing by role title on Migrate Mate shows you which companies are actively hiring and willing to sponsor right now.
What is the prevailing wage requirement for sponsored AI Product Engineer 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.