H-1B Visa AI Research Engineer Jobs
AI Research Engineer roles sit firmly within H-1B specialty occupation requirements, typically demanding a master's or PhD in computer science, machine learning, or a closely related field. Employers filing H-1B petitions for these positions must certify a prevailing wage through a Labor Condition Application before USCIS can approve your petition.
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Get Access To All JobsOur mission at Duolingo is to develop the best education in the world and make it universally available. It's a big mission, and that's where you come in!
At Duolingo, you'll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You'll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that's both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed bandits, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Monetization team, we're building AI systems to improve the learning experience while driving our business, including deploying our research into bandit models to balance revenue and retention. Given the broad set of AI domains, broad experience in AI/ML is highly desirable.
You will...
- Join a full-stack team of frontend, backend and other AI Research engineers, fostering a collaborative and innovative work environment.
- Contribute to the development and training of bandit models and large-scale neural network models.
- Collaborate with cross-functional teams to understand their needs, to align the models' outputs with company objectives.
- Participate in and help drive strategic product and business decision making as a member of the Monetization leadership group.
- Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, and apply this knowledge to drive advancements in our projects.
- Mentor team members, providing guidance and support in their professional development.
- Ensure the delivery of high-quality, scalable, and efficient machine learning solutions.
✅ You have...
- Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields.
- Strong background in training and fine-tuning large models in an applied setting.
- Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience.
- Excellent leadership and communication skills, with the ability to manage and inspire a team.
- Deep understanding of machine learning concepts, frameworks, and best practices.
Take a peek at how we care for our employees' holistic well-being with our benefits here.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we'll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
Sign up for job alerts here.
Our mission at Duolingo is to develop the best education in the world and make it universally available. It's a big mission, and that's where you come in!
At Duolingo, you'll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You'll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that's both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed bandits, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Monetization team, we're building AI systems to improve the learning experience while driving our business, including deploying our research into bandit models to balance revenue and retention. Given the broad set of AI domains, broad experience in AI/ML is highly desirable.
You will...
- Join a full-stack team of frontend, backend and other AI Research engineers, fostering a collaborative and innovative work environment.
- Contribute to the development and training of bandit models and large-scale neural network models.
- Collaborate with cross-functional teams to understand their needs, to align the models' outputs with company objectives.
- Participate in and help drive strategic product and business decision making as a member of the Monetization leadership group.
- Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, and apply this knowledge to drive advancements in our projects.
- Mentor team members, providing guidance and support in their professional development.
- Ensure the delivery of high-quality, scalable, and efficient machine learning solutions.
✅ You have...
- Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields.
- Strong background in training and fine-tuning large models in an applied setting.
- Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience.
- Excellent leadership and communication skills, with the ability to manage and inspire a team.
- Deep understanding of machine learning concepts, frameworks, and best practices.
Take a peek at how we care for our employees' holistic well-being with our benefits here.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we'll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
Sign up for job alerts here.
See all 743+ AI Research Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Research Engineer roles.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Research Engineer
Verify your SOC code before applying
AI Research Engineer roles often get classified under multiple SOC codes, which affects prevailing wage levels. Check O*NET to confirm which code matches your specific duties before your employer files the LCA, so there are no mismatches at adjudication.
Target cap-exempt employers strategically
Universities, nonprofit research organizations, and government-affiliated labs are cap-exempt, letting you skip the H-1B lottery entirely. If you're open to academic or applied research settings, these employers can file your petition at any point in the year.
Search verified H-1B sponsors on Migrate Mate
Filter by AI Research Engineer roles on Migrate Mate to find employers with confirmed H-1B filing history in your specialty. This saves time you'd otherwise spend cold-applying to companies that redirect research hires to contractors or don't sponsor directly.
Align your degree transcript to specialty occupation
USCIS scrutinizes AI Research Engineer petitions when degree fields are adjacent but not directly related. Have your employer's immigration counsel frame how your specific coursework, such as neural networks, probabilistic modeling, or systems design, maps to the role's duties in the I-129 petition.
Request premium processing before your start date
Standard H-1B processing can run four to six months. If your offer letter has a firm start date, ask your employer to file with premium processing so USCIS adjudicates within 15 business days and you're not waiting past your agreed onboarding timeline.
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Find AI Research Engineer JobsAI Research Engineer H-1B Visa: Frequently Asked Questions
Does an AI Research Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. USCIS classifies AI Research Engineer positions as specialty occupations because they normally require at least a bachelor's degree in a directly related field such as computer science, electrical engineering, or applied mathematics. Roles focused on model development, algorithm design, or systems research generally clear this threshold without additional justification, though USCIS may issue an RFE if the position description is broad or the degree field is tangentially related.
How do I find employers who actively sponsor H-1B visas for AI research roles?
Use Migrate Mate to browse AI Research Engineer positions filtered by employers with verified H-1B filing history. DOL Labor Condition Application data is publicly available and shows which companies have filed for comparable roles, giving you a concrete signal of sponsorship intent before you apply rather than discovering a company's policy after an offer.
What happens to my H-1B status if my AI research project is defunded mid-petition?
If your employer withdraws the H-1B petition before USCIS approves it, the petition is terminated and you'll need a new employer to file on your behalf. If you're already in valid H-1B status and your position is eliminated, you have a 60-day grace period to find a new employer, transfer your H-1B, or depart the U.S. USCIS does not extend this window for project-based cancellations.
Can an AI Research Engineer role at a startup qualify for H-1B sponsorship?
Yes, but startups face additional scrutiny. USCIS may issue an RFE requesting evidence that the employer has sufficient work and financial capacity to maintain the position for the full petition period. Your employer should document the research scope, funding sources, and organizational structure alongside the I-129. Early-stage companies with substantial venture backing or government research contracts typically satisfy this requirement.
Does holding a PhD in machine learning improve my H-1B approval odds for an AI Research Engineer position?
A PhD strengthens the specialty occupation argument because it directly demonstrates the theoretical depth the role requires. USCIS evaluates whether the position itself requires advanced study, not just whether you hold a higher degree. For senior or principal research engineer roles, a PhD can also support a higher Level III or IV prevailing wage classification under the OFLC Wage Search, which your employer must certify in the Labor Condition Application.
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