Machine Learning Scientist Jobs in USA with Visa Sponsorship
Machine learning scientist roles consistently rank among the highest for H-1B visa sponsorship, with tech companies regularly filing petitions for ML engineers, research scientists, and AI specialists. The role's advanced degree requirements and specialized skillset align perfectly with specialty occupation criteria, making visa approval rates favorable for qualified candidates. For detailed occupation requirements, see the O*NET profile.
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Hinge Health helps people move without pain through digital musculoskeletal (MSK) care. That care only works when members keep doing their exercise therapy, and the right message at the right moment is a large part of what keeps them going. As a Staff ML Scientist on the Proactive Communications & Notifications team at Hinge Health, you'll own the machine learning that decides what message each member receives, when, and through which channel. At our scale, small gains in relevance and timing compound into large gains in engagement and clinical outcomes. You'll be the technical leader for ML on the team: setting direction for send-time optimization, propensity modeling, and the experimentation rigor behind every nudge we ship. You'll write code your senior engineers respect, mentor a small ML team, and partner closely with product, data science, and our growth and marketing teams. Our ideal candidate has shipped recommendation or sequential-decisioning systems that changed how real users behave, runs experiments with rigor, and writes code their engineers respect. They optimize for what moves for members, not model sophistication for its own sake.
What You'll Accomplish
- Send-time and channel optimization: Design and ship the next system for deciding what nudge to send a member, when, and through which channel, beyond our current contextual-bandit approach.
- Propensity modeling: Build and deploy models that decide whether nudging a given member is worth it, balancing engagement against fatigue and unsubscribes.
- Experimentation rigor: Set the bar for how the team runs experiments: multi-arm tests, sequential testing, CUPED, and guarding against peeking, so our nudge decisions are causally sound.
- Production ownership: Own at least one model in production end-to-end.
- Leadership: Mentor the team's ML scientists, guide technical direction, and partner across product, engineering, data science, and the growth and marketing teams.
Required Qualifications
- Bachelor's degree or higher in Computer Science, Statistics, Operations Research, Machine Learning, or a related quantitative field
- 7+ years building and deploying ML systems in production at consumer scale
- At least one recommendation, ranking, or sequential-decisioning system shipped end-to-end (modeling, evaluation, deployment, monitoring, iteration)
- Fluency in experimentation and A/B testing: multi-arm tests, sequential testing, CUPED, and the common failure modes of online experiments
- Proficiency in Python and SQL; able to read a colleague's PR and improve it
- Deep understanding of machine learning and applied statistics
Preferred Qualifications
- Contextual bandits or reinforcement learning operated in production
- Multi-objective optimization (engagement vs. adherence vs. retention vs. cost)
- Causal inference beyond A/B testing: difference-in-differences, synthetic controls, instrumental variables
- Cold-start and low-data-regime modeling (healthcare gets thin on per-member data fast)
- Experience hiring and growing a small ML team
- Healthcare, fintech, or other regulated-data experience; familiarity with HIPAA and BAA constraints
- Familiarity with our adjacent stack: Statsig, Databricks, feature stores, Airflow/dbt
- Familiarity with TypeScript
About Hinge Health
Hinge Health leverages software, including AI, to largely automate care for joint and muscle health, delivering an outstanding member experience, improved member outcomes, and cost reductions for its clients. The company has designed its platform to address a broad spectrum of MSK care—from acute injury, to chronic pain, to post-surgical rehabilitation—and the platform can help to ease members’ pain, improve their function, and reduce their need for surgeries, all while driving health equity by allowing members to engage in their exercise therapy sessions from anywhere. The company is headquartered in San Francisco, California. Learn more at http://www.hingehealth.com
What You'll Love About Us
- Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.
- Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
- Modern life stipends: Manage your own learning and development
Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter. By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy.
Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com.
Compensation Range: $204,608 - $306,912
About The Role
Hinge Health helps people move without pain through digital musculoskeletal (MSK) care. That care only works when members keep doing their exercise therapy, and the right message at the right moment is a large part of what keeps them going. As a Staff ML Scientist on the Proactive Communications & Notifications team at Hinge Health, you'll own the machine learning that decides what message each member receives, when, and through which channel. At our scale, small gains in relevance and timing compound into large gains in engagement and clinical outcomes. You'll be the technical leader for ML on the team: setting direction for send-time optimization, propensity modeling, and the experimentation rigor behind every nudge we ship. You'll write code your senior engineers respect, mentor a small ML team, and partner closely with product, data science, and our growth and marketing teams. Our ideal candidate has shipped recommendation or sequential-decisioning systems that changed how real users behave, runs experiments with rigor, and writes code their engineers respect. They optimize for what moves for members, not model sophistication for its own sake.
What You'll Accomplish
- Send-time and channel optimization: Design and ship the next system for deciding what nudge to send a member, when, and through which channel, beyond our current contextual-bandit approach.
- Propensity modeling: Build and deploy models that decide whether nudging a given member is worth it, balancing engagement against fatigue and unsubscribes.
- Experimentation rigor: Set the bar for how the team runs experiments: multi-arm tests, sequential testing, CUPED, and guarding against peeking, so our nudge decisions are causally sound.
- Production ownership: Own at least one model in production end-to-end.
- Leadership: Mentor the team's ML scientists, guide technical direction, and partner across product, engineering, data science, and the growth and marketing teams.
Required Qualifications
- Bachelor's degree or higher in Computer Science, Statistics, Operations Research, Machine Learning, or a related quantitative field
- 7+ years building and deploying ML systems in production at consumer scale
- At least one recommendation, ranking, or sequential-decisioning system shipped end-to-end (modeling, evaluation, deployment, monitoring, iteration)
- Fluency in experimentation and A/B testing: multi-arm tests, sequential testing, CUPED, and the common failure modes of online experiments
- Proficiency in Python and SQL; able to read a colleague's PR and improve it
- Deep understanding of machine learning and applied statistics
Preferred Qualifications
- Contextual bandits or reinforcement learning operated in production
- Multi-objective optimization (engagement vs. adherence vs. retention vs. cost)
- Causal inference beyond A/B testing: difference-in-differences, synthetic controls, instrumental variables
- Cold-start and low-data-regime modeling (healthcare gets thin on per-member data fast)
- Experience hiring and growing a small ML team
- Healthcare, fintech, or other regulated-data experience; familiarity with HIPAA and BAA constraints
- Familiarity with our adjacent stack: Statsig, Databricks, feature stores, Airflow/dbt
- Familiarity with TypeScript
About Hinge Health
Hinge Health leverages software, including AI, to largely automate care for joint and muscle health, delivering an outstanding member experience, improved member outcomes, and cost reductions for its clients. The company has designed its platform to address a broad spectrum of MSK care—from acute injury, to chronic pain, to post-surgical rehabilitation—and the platform can help to ease members’ pain, improve their function, and reduce their need for surgeries, all while driving health equity by allowing members to engage in their exercise therapy sessions from anywhere. The company is headquartered in San Francisco, California. Learn more at http://www.hingehealth.com
What You'll Love About Us
- Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.
- Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
- Modern life stipends: Manage your own learning and development
Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter. By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy.
Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com.
Compensation Range: $204,608 - $306,912
See all 1,050+ Machine Learning Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Scientist roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Machine Learning Scientist
Target companies with active ML research divisions
Focus on employers like Google DeepMind, Microsoft Research, OpenAI, and Meta AI. These companies regularly sponsor visas for ML scientists and understand the specialized nature of the role.
Emphasize your advanced degree in a relevant field
Machine learning scientist positions typically require at least a master's degree in computer science, statistics, mathematics, or related field. PhD holders have stronger visa petition cases.
Highlight specialized ML frameworks and research experience
Document expertise in TensorFlow, PyTorch, scikit-learn, and published research. USCIS recognizes ML as a specialty occupation requiring specific technical knowledge and advanced training.
Consider both tech companies and research institutions
Universities, national labs, and research institutes also sponsor H-1B visas for ML scientists. These employers often have cap-exempt status, avoiding the annual lottery entirely.
Build a portfolio demonstrating real-world ML applications
Showcase projects involving deep learning, natural language processing, computer vision, or reinforcement learning. Concrete examples strengthen your specialty occupation case during the petition process.
Network through ML conferences and academic publications
Connect with potential sponsors at NeurIPS, ICML, or ICLR conferences. Co-authored papers with U.S. researchers can open doors to academic or industry positions.
Frequently Asked Questions
Do machine learning scientists qualify for H-1B specialty occupation requirements?
Yes, machine learning scientist roles consistently meet H-1B visa specialty occupation criteria. The position requires advanced knowledge in mathematics, statistics, computer science, and specialized ML frameworks. Most employers require at least a master's degree in a relevant field, and the role involves complex algorithm development that clearly demonstrates specialized expertise.
What degree fields qualify for machine learning scientist visa petitions?
Computer science, mathematics, statistics, electrical engineering, physics, and data science degrees typically qualify. The key is demonstrating how your coursework relates to machine learning fundamentals like linear algebra, probability theory, algorithms, and programming. A PhD in any of these fields significantly strengthens your petition case.
Are machine learning scientists eligible for cap-exempt H-1B positions?
Yes, if working for universities, affiliated research institutions, or nonprofit research organizations. Many academic ML positions are cap-exempt, meaning no lottery participation required. Private companies are generally cap-subject, but some have university affiliations that may qualify for exemptions.
How do ML scientists demonstrate extraordinary ability for O-1 visas?
O-1 visa criteria include published research papers, conference presentations, peer review activities, high-impact citations, and recognition awards. Leading ML research projects, developing novel algorithms, or contributing to widely-used frameworks can also demonstrate extraordinary ability in the field.
Can machine learning scientists transition from F-1 student status to work visas?
Yes, through OPT and STEM OPT extensions totaling up to 36 months. This provides time to find sponsoring employers and participate in H-1B lotteries. Many ML PhD students also transition directly to cap-exempt academic positions or receive National Interest Waiver green cards based on their research contributions.
How to find Machine Learning Scientist jobs with visa sponsorship?
To find Machine Learning Scientist positions with visa sponsorship, use Migrate Mate, which specializes in connecting international talent with sponsoring employers. Focus on tech companies, research institutions, and AI startups that commonly sponsor H-1B, O-1, or EB-2 visas for ML roles. These employers actively seek candidates with expertise in deep learning, neural networks, and data science to drive their AI initiatives.
What is the prevailing wage requirement for sponsored Machine Learning Scientist 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.