H-1B1 Chile Visa Machine Learning Jobs
Machine Learning jobs in the U.S. are open to Chilean professionals through the H-1B1 Chile visa, a no-lottery work visa under the U.S.-Chile Free Trade Agreement. With an annual cap of 1,400 visas that rarely fills and consulate-direct processing, securing sponsorship for ML roles is faster and more predictable than the H-1B visa path.
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It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.
We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.
The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.
If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.
Job Description
Primary Function
The AI Research group within Intuitive Surgical has an immediate opening in Sunnyvale, CA for a Machine Learning Engineer with focus on physical AI systems, robotics simulation environments and end-to-end ML pipelines, contributing to new technology development for next-generation robot-assisted surgery platforms.
Key Responsibilities
- Design, implement, and optimize scalable Simulation and RL infrastructure for training surgical robots in simulated environments, leveraging distributed systems for parallel processing and high-throughput simulations
- Optimize performance across the simulation stack, including distributed systems, Inference, and rendering, to ensure optimal usage of hardware resources and fast, efficient simulations
- Sim-to-Real Validation: Support efforts to reduce the sim-to-real gap through domain randomization, noise modelling, and physics-based constraints.
- Synthetic Data Generation: Develop simulation workflows to produce synthetic datasets for AI model training and validation.
- Designing large-scale data pipelines from multimodal robot sensor streams (vision, depth, proprioception, action logs)
- Running structured experimentation across architectures, datasets, and training strategies for physical AI systems
- Contribute to end-to-end learning pipelines from data collection training evaluation to real-world deployment
- Work with AI/ML engineers to integrate simulation outputs into training pipelines, especially for physics-informed models.
- Deliver high-quality, production-ready code in a dynamic and fast-paced environment
- Contribute to building new clinical datasets and data pipelines.
- Participate in integration of new ML/CV algorithms into existing and future robotic platforms.
- Collaborate with users and clinical advisors to iterate prototype designs based on feedback and performance.
Qualifications
Experience and Abilities
- Doctoral degree in computer science, electrical and computer engineering, or Master's degree with minimum (5) years industry experience developing robotics and machine learning applications.
- Strong background in ML infrastructure, including designing training pipelines, data orchestration, and deployment of RL models at scale
- Proficiency in GPU optimizations for either inference or rendering
- Proficiency in Python, with familiarity in frameworks like PyTorch, TensorFlow, or RL libraries, and a proven ability to write clean, scalable, and efficient code
- Ability to research, implement, and adapt cutting-edge techniques from academic and industry sources into practical, production-ready solutions for scalable RL in simulation
- Strong hands-on experience with Python (proficiency), C/C++ (proficiency), shell scripting
- Excellent communication skills both written and verbal.
- Self-starter and able to work in a collaborative and results-oriented environment.
- Ability to travel domestically and internationally (5-15%)
- Able to view live and recorded surgical procedures.
Additional Information
Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
Mandatory Notices
U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.
Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).
For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.
This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law.
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
Base Compensation Range Region 1: $164,000 USD - $236,000 USD
Base Compensation Range Region 2: $139,400 USD - $200,600 USD
Shift: Day
Workplace Type: Onsite - This job is fully onsite.
Location: San Francisco, CA, United States
Job Type: Not Remote
Department: Engineering
Job ID: JOB216388
Company Description
It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.
We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.
The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.
If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.
Job Description
Primary Function
The AI Research group within Intuitive Surgical has an immediate opening in Sunnyvale, CA for a Machine Learning Engineer with focus on physical AI systems, robotics simulation environments and end-to-end ML pipelines, contributing to new technology development for next-generation robot-assisted surgery platforms.
Key Responsibilities
- Design, implement, and optimize scalable Simulation and RL infrastructure for training surgical robots in simulated environments, leveraging distributed systems for parallel processing and high-throughput simulations
- Optimize performance across the simulation stack, including distributed systems, Inference, and rendering, to ensure optimal usage of hardware resources and fast, efficient simulations
- Sim-to-Real Validation: Support efforts to reduce the sim-to-real gap through domain randomization, noise modelling, and physics-based constraints.
- Synthetic Data Generation: Develop simulation workflows to produce synthetic datasets for AI model training and validation.
- Designing large-scale data pipelines from multimodal robot sensor streams (vision, depth, proprioception, action logs)
- Running structured experimentation across architectures, datasets, and training strategies for physical AI systems
- Contribute to end-to-end learning pipelines from data collection training evaluation to real-world deployment
- Work with AI/ML engineers to integrate simulation outputs into training pipelines, especially for physics-informed models.
- Deliver high-quality, production-ready code in a dynamic and fast-paced environment
- Contribute to building new clinical datasets and data pipelines.
- Participate in integration of new ML/CV algorithms into existing and future robotic platforms.
- Collaborate with users and clinical advisors to iterate prototype designs based on feedback and performance.
Qualifications
Experience and Abilities
- Doctoral degree in computer science, electrical and computer engineering, or Master's degree with minimum (5) years industry experience developing robotics and machine learning applications.
- Strong background in ML infrastructure, including designing training pipelines, data orchestration, and deployment of RL models at scale
- Proficiency in GPU optimizations for either inference or rendering
- Proficiency in Python, with familiarity in frameworks like PyTorch, TensorFlow, or RL libraries, and a proven ability to write clean, scalable, and efficient code
- Ability to research, implement, and adapt cutting-edge techniques from academic and industry sources into practical, production-ready solutions for scalable RL in simulation
- Strong hands-on experience with Python (proficiency), C/C++ (proficiency), shell scripting
- Excellent communication skills both written and verbal.
- Self-starter and able to work in a collaborative and results-oriented environment.
- Ability to travel domestically and internationally (5-15%)
- Able to view live and recorded surgical procedures.
Additional Information
Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
Mandatory Notices
U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.
Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).
For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.
This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law.
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
Base Compensation Range Region 1: $164,000 USD - $236,000 USD
Base Compensation Range Region 2: $139,400 USD - $200,600 USD
Shift: Day
Workplace Type: Onsite - This job is fully onsite.
Location: San Francisco, CA, United States
Job Type: Not Remote
Department: Engineering
Job ID: JOB216388
See all 143+ H-1B1 Chile Visa Machine Learning Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Chile Visa Machine Learning Jobs.
Get Access To All JobsTips for Finding Machine Learning Jobs
Verify your ML degree matches the role
H-1B1 Chile requires a specialty occupation directly tied to your degree field. A computer science or statistics degree supports most ML roles cleanly, but an unrelated degree paired with ML experience alone won't satisfy the requirement without documented equivalency.
Translate your Chilean credentials into U.S. terms
Get your Chilean university transcripts evaluated by a NACES-accredited credential evaluator before applying. U.S. employers and consular officers need a formal equivalency statement confirming your degree meets the four-year U.S. bachelor's standard for ML specialty occupation roles.
Target employers with active H-1B1 Chile LCA history
Search the OFLC Wage Search to find companies that have filed Labor Condition Applications for ML job titles. Prior LCA filings signal that the employer's legal team already understands H-1B1 Chile sponsorship and won't stall at the offer stage.
Use Migrate Mate to find H-1B1 Chile sponsoring employers
Filter your ML job search by H-1B1 Chile sponsorship history on Migrate Mate. The platform surfaces employers with verified DOL filing records for Chilean nationals, so you're not cold-applying to companies that have never run this process before.
Negotiate LCA filing into your offer timeline
Your employer must file and receive a certified LCA from DOL before your consulate appointment. Build at least 10 business days for LCA certification into your start-date negotiation so the paperwork doesn't push your appointment past your agreed first day.
Prepare your prevailing wage documentation before the interview
Consular officers can ask how your offered salary compares to the DOL prevailing wage for your ML role and work location. Check the O*NET occupation code for your position and cross-reference the wage level in the OFLC Wage Search before your appointment.
Frequently Asked Questions
Does a Machine Learning role qualify as a specialty occupation for the H-1B1 Chile visa?
Yes. Machine Learning engineer, ML researcher, and applied scientist roles qualify because they require at minimum a bachelor's degree in computer science, mathematics, statistics, or a directly related field. The degree-to-job-duty connection must be explicit in the employer's job description and in the LCA filing to satisfy the specialty occupation standard at the consulate.
How does H-1B1 Chile compare to H-1B for Machine Learning professionals?
H-1B1 Chile has no lottery, an annual cap of 1,400 visas that has never been exhausted, and is processed directly at the U.S. consulate in Chile rather than through USCIS. The tradeoff is that H-1B1 Chile does not permit dual intent, so it's suited for professionals planning to work in the U.S. while maintaining Chilean ties, unlike the H-1B which allows immigrant intent.
How do I find U.S. employers willing to sponsor H-1B1 Chile visas for ML roles?
Migrate Mate lets you search for ML jobs filtered specifically by H-1B1 Chile sponsorship history, surfacing employers with verified DOL Labor Condition Application filings for Chilean nationals. This removes the guesswork of identifying companies already familiar with the H-1B1 Chile process versus those that would be running it for the first time.
Can I work for a U.S. employer on H-1B1 Chile while living in Chile?
No. The H-1B1 Chile visa authorizes in-person employment at a qualifying U.S. worksite. Remote-only arrangements where you remain in Chile don't satisfy the visa's admission and employment requirements. You must be physically present in the U.S. and working at the petitioned location to maintain valid H-1B1 Chile status.
What happens to my H-1B1 Chile status if my Machine Learning role is reclassified or my employer changes my job duties significantly?
A material change in job duties, title, or work location typically requires your employer to file an amended LCA with DOL. If the amended role no longer meets the specialty occupation definition tied to your original filing, your H-1B1 Chile status may be invalid until the new LCA is certified. Confirm any role changes with your employer's immigration counsel before they take effect.