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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Get Access To All JobsINTRODUCTION
Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
As an Engineering Analyst within the Trust and Safety team, you will be part of a global team that ensures the seamless detection and enforcement of some of the most egregious online harms (e.g., child sexual abuse materials and non-consensual intimate imagery). Through close partnerships with Product, Engineering, Policy, and Legal, you will leverage your technical acumen to design and develop novel solutions to further Google’s ability to fight this abuse worldwide.
At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
ROLE AND RESPONSIBILITIES
- Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques.
- Apply statistical and data science methods to thoroughly examine Google's protection measures, uncover potential shortcomings, and develop actionable insights for continuous security enhancement.
- Compute statistics (e.g., precision, recall) about the performance of complex technical models (Machine Learning systems, classifiers, Large Language Models) and recognize nuanced, easily missed problems in the performance of these systems.
- Lead multiple interdependent projects of moderate to high complexity and scope. Work cross-functionally to ensure coordination and alignment on objectives and key results.
- Review or be exposed to sensitive or graphic content as part of core role.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- Experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
PREFERRED QUALIFICATIONS
- Master's degree in a quantitative discipline.
- Knowledge of current abuse techniques and practices.
- Ability to extract, manipulate, and apply machine learning techniques to high volumes of critical, product-related data.
- Ability in working with a variety of engineering stakeholders to gather requirements, explain models, and iterate to make improvements.
- Excellent written and verbal communication with the ability to describe technical implementations or analyses to a non-technical audience in an effective manner.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
COMPENSATION
The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
INTRODUCTION
Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
As an Engineering Analyst within the Trust and Safety team, you will be part of a global team that ensures the seamless detection and enforcement of some of the most egregious online harms (e.g., child sexual abuse materials and non-consensual intimate imagery). Through close partnerships with Product, Engineering, Policy, and Legal, you will leverage your technical acumen to design and develop novel solutions to further Google’s ability to fight this abuse worldwide.
At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
ROLE AND RESPONSIBILITIES
- Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques.
- Apply statistical and data science methods to thoroughly examine Google's protection measures, uncover potential shortcomings, and develop actionable insights for continuous security enhancement.
- Compute statistics (e.g., precision, recall) about the performance of complex technical models (Machine Learning systems, classifiers, Large Language Models) and recognize nuanced, easily missed problems in the performance of these systems.
- Lead multiple interdependent projects of moderate to high complexity and scope. Work cross-functionally to ensure coordination and alignment on objectives and key results.
- Review or be exposed to sensitive or graphic content as part of core role.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- Experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
PREFERRED QUALIFICATIONS
- Master's degree in a quantitative discipline.
- Knowledge of current abuse techniques and practices.
- Ability to extract, manipulate, and apply machine learning techniques to high volumes of critical, product-related data.
- Ability in working with a variety of engineering stakeholders to gather requirements, explain models, and iterate to make improvements.
- Excellent written and verbal communication with the ability to describe technical implementations or analyses to a non-technical audience in an effective manner.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
COMPENSATION
The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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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 visa 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.
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