AI Research Engineer Green Card Jobs
AI Research Engineer roles qualify for EB-2 green card sponsorship when they require an advanced degree in machine learning, computer science, or a related field. Employers file PERM labor certification with DOL before sponsoring your I-140 petition, creating a path to permanent residency rather than a temporary work authorization.
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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 526+ 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 Green Card Sponsorship as an AI Research Engineer
Document your research contributions before applying
PERM requires your employer to define the job's minimum requirements around your actual qualifications. Gather publications, patents, conference presentations, and GitHub repositories now, since EB-2 petitions live or die on credential specificity.
Target employers with active PERM filing history
AI research roles at national labs, established tech companies, and R&D-focused enterprises file PERM far more consistently than early-stage startups. Use the OFLC Wage Search to verify whether a prospective employer has sponsored similar roles before.
Understand how your O*NET classification affects your petition
AI Research Engineer maps to specific O*NET codes that DOL uses to benchmark prevailing wages and define the labor market test. Confirm your job duties match the O*NET profile before your employer submits the PERM application to avoid an audit.
Use Migrate Mate to filter jobs by green card sponsorship
Searching broadly wastes time on employers who sponsor H-1B but won't commit to PERM. Migrate Mate lets you filter AI Research Engineer roles specifically by employment-based green card sponsorship so every application targets a viable path to permanent residency.
File I-485 concurrently if your priority date is current
Once your employer files the I-140, USCIS allows concurrent adjustment of status if your country's priority date is immediately available. For nationals of countries without significant EB-2 backlogs, this collapses the timeline considerably compared to waiting sequentially.
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Find AI Research Engineer JobsAI Research Engineer Green Card Sponsorship: Frequently Asked Questions
Does an AI Research Engineer role qualify for EB-2 or EB-3 sponsorship?
AI Research Engineer positions typically qualify for EB-2 sponsorship because they normally require a master's degree or Ph.D. in machine learning, computer science, or a related discipline. If the employer defines the role as requiring only a bachelor's degree, it may fall under EB-3. The classification depends on the specific job requirements your employer documents in the PERM application, not just your personal credentials.
How does PERM green card sponsorship differ from H-1B for this role?
H-1B grants temporary work authorization for up to six years and is subject to an annual lottery. PERM-based green card sponsorship leads to permanent residency with no cap lottery at the EB-3 level for most nationalities. The trade-off is timeline: PERM labor certification, I-140 approval, and adjustment of status can take two to four years or longer depending on your country of birth, versus an H-1B that can start within months.
What does the PERM labor market test mean for AI Research Engineer openings?
DOL requires your employer to advertise the AI Research Engineer role to U.S. workers before sponsoring a foreign national through PERM. The job posting must reflect the actual minimum requirements of the position. Overstating qualifications to match only your credentials is a common audit trigger. Your employer must retain recruitment records for five years after filing.
How can I find AI Research Engineer jobs that offer green card sponsorship?
Most general job searches don't distinguish between employers willing to file PERM and those who only offer H-1B transfers. Migrate Mate filters AI Research Engineer roles by employment-based green card sponsorship, so you're only seeing positions where the employer has a documented history of supporting permanent residency. That saves significant time compared to asking about sponsorship company by company.
Can I switch employers after my green card sponsorship has started?
Under AC21 portability rules, you can change employers after your I-140 is approved and your I-485 has been pending for at least 180 days, as long as the new role is in the same or a similar occupational classification. For AI Research Engineer positions, a move to a closely related research or engineering role at a new employer generally qualifies, but USCIS evaluates the facts of each case individually.
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