H-1B1 Chile Visa AI ML Engineer Jobs
AI ML Engineer jobs in the U.S. are open to Chilean nationals through H-1B1 Chile visa sponsorship, a consulate-only process with a 1,400-visa annual cap that almost never fills. No lottery, no USCIS petition, and your degree in computer science, data science, or a related technical field directly satisfies the specialty occupation requirement.
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Get Access To All JobsABOUT PINTEREST:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
The Responsible AI team is part of the Advanced Technologies Group (ATG), Pinterest’s advanced machine learning team. ATG’s goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics.
At Pinterest our goal is to inspire pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 550M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience.
Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration begins with representation and belonging. The Responsible AI team is a horizontal team that collaborates across the company on various initiatives. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest’s vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. This includes launching groundbreaking features such as user-controllable skin tone, hair pattern search refinements, and more recently, body type.
ROLE AND RESPONSIBILITIES:
We are looking for a Sr Machine Learning Engineer. You’ll help shape forward-thinking projects, develop advanced ML approaches rooted in fairness and equitability, and pioneer responsible AI safeguards for emerging technologies. By joining this team, you’ll make a lasting impact on our Pinners, our business, and the evolution of ethical AI at Pinterest.
-
Design and drive projects in the responsible AI frontier to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest. These include but are not limited to Gen AI product evaluations, foundation models safety fine tuning and alignment, and Red Teaming.
-
Collaborate with other engineering teams (trust and safety, ML Platform, Content Understanding, Search, Homefeed) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest.
-
Mentor junior engineers on the Responsible AI team and across the company on the R-AI space.
-
Work with the team and senior leaders at the company to define and drive technical strategy in this area.
BASIC QUALIFICATIONS:
-
Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations.
-
Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs and VLMS) and their applications in large-scale Search and Recommender Systems.
-
Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact.
-
4+ years working experience in the engineering teams that build large-scale ML-driven user-facing products.
-
1+ years experience leading cross-team engineering efforts.
-
Masters or PhD in Comp Sci or related fields.
PREFERRED QUALIFICATIONS:
-
Publications at top ML conferences.
-
Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
-
Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.
-
Expertise in scalable realtime systems that process stream data.
-
Passion for applied research and the Pinterest product.
LOCATION:
This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore can be situated anywhere in the United States.
RELOCATION STATEMENT:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
COMPENSATION:
- Salary Range: $189,721—$332,012 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
US based applicants only
ABOUT PINTEREST:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
The Responsible AI team is part of the Advanced Technologies Group (ATG), Pinterest’s advanced machine learning team. ATG’s goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics.
At Pinterest our goal is to inspire pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 550M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience.
Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration begins with representation and belonging. The Responsible AI team is a horizontal team that collaborates across the company on various initiatives. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest’s vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. This includes launching groundbreaking features such as user-controllable skin tone, hair pattern search refinements, and more recently, body type.
ROLE AND RESPONSIBILITIES:
We are looking for a Sr Machine Learning Engineer. You’ll help shape forward-thinking projects, develop advanced ML approaches rooted in fairness and equitability, and pioneer responsible AI safeguards for emerging technologies. By joining this team, you’ll make a lasting impact on our Pinners, our business, and the evolution of ethical AI at Pinterest.
-
Design and drive projects in the responsible AI frontier to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest. These include but are not limited to Gen AI product evaluations, foundation models safety fine tuning and alignment, and Red Teaming.
-
Collaborate with other engineering teams (trust and safety, ML Platform, Content Understanding, Search, Homefeed) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest.
-
Mentor junior engineers on the Responsible AI team and across the company on the R-AI space.
-
Work with the team and senior leaders at the company to define and drive technical strategy in this area.
BASIC QUALIFICATIONS:
-
Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations.
-
Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs and VLMS) and their applications in large-scale Search and Recommender Systems.
-
Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact.
-
4+ years working experience in the engineering teams that build large-scale ML-driven user-facing products.
-
1+ years experience leading cross-team engineering efforts.
-
Masters or PhD in Comp Sci or related fields.
PREFERRED QUALIFICATIONS:
-
Publications at top ML conferences.
-
Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
-
Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.
-
Expertise in scalable realtime systems that process stream data.
-
Passion for applied research and the Pinterest product.
LOCATION:
This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore can be situated anywhere in the United States.
RELOCATION STATEMENT:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
COMPENSATION:
- Salary Range: $189,721—$332,012 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
US based applicants only
See all H-1B1 Chile Visa AI ML Engineer Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI ML Engineer
Translate your Chilean credentials for U.S. hiring managers
Chilean universities follow a licenciatura or title system that U.S. recruiters often can't map to a four-year bachelor's degree. Get a credential evaluation from a NACES-approved evaluator before applying so your degree clearly satisfies the H-1B1 visa specialty occupation requirement.
Use OFLC Wage Search to anchor your salary negotiation
Your employer's Labor Condition Application must certify they'll pay the prevailing wage for your SOC code. Look up the DOL wage level for AI ML Engineer roles in your target metro before your first offer conversation so you're negotiating from the correct floor, not below it.
Search for H-1B1 Chile employers on Migrate Mate
Migrate Mate filters job listings by H-1B1 Chile visa sponsorship history, so you can target AI ML Engineer roles at companies that have already filed LCAs for Chilean nationals rather than spending time on employers unfamiliar with the process.
Confirm the role's SOC code maps to a specialty occupation
Not every 'AI engineer' title gets classified under the same Standard Occupational Classification code. Check your offer letter's job duties against the O*NET profile for Computer and Information Research Scientists or Software Developers to confirm the role qualifies before your employer files the LCA.
Ask your employer about E-Verify enrollment before your start date
H-1B1 visa holders are authorized to work only for the petitioning employer. Confirm your employer is enrolled in E-Verify and that your onboarding I-9 reflects your H-1B1 status accurately, since a mismatch at a STEM-heavy company can delay your first paycheck.
Request a two-year petition to align with your project runway
H-1B1 Chile status is granted in one-year increments at the consulate but your employer can structure the LCA for up to two years. Push for the longer period during offer negotiations so your work authorization doesn't expire mid-project.
Frequently Asked Questions
Does an AI ML Engineer role qualify as a specialty occupation for the H-1B1 Chile visa?
Yes. AI ML Engineer positions consistently require at least a bachelor's degree in computer science, mathematics, statistics, or a closely related field, which satisfies the H-1B1 visa specialty occupation standard. Your employer confirms this when certifying the Labor Condition Application with DOL. Roles that list a degree as preferred rather than required can create complications, so verify the job description reflects a degree requirement before your employer files.
How does the H-1B1 Chile visa compare to the H-1B for AI ML Engineer roles?
The H-1B1 Chile visa skips the H-1B lottery entirely and routes your application through the U.S. consulate in Chile rather than USCIS. The annual cap is 1,400 visas and has never been exhausted, meaning Chilean AI ML Engineers can apply at any time of year without waiting for an April registration window. The tradeoff is that H-1B visa1 does not confer dual intent, so maintaining nonimmigrant intent throughout the process matters.
How do I find employers who will sponsor an H-1B1 Chile visa for an AI ML Engineer position?
Migrate Mate is built specifically for this search. It surfaces AI ML Engineer job listings filtered by employers with H-1B1 Chile LCA filing history, so you're not cold-applying to companies that have never navigated the process. Employers already familiar with the consulate-based route move faster through the LCA certification and offer stage.
Can I start working while my H-1B1 Chile visa application is pending at the consulate?
No. Unlike an H-1B change of status filed with USCIS, the H-1B1 Chile process happens at the consulate, so you don't receive interim work authorization while your application is pending. You must have your visa stamp in hand before beginning employment with the sponsoring employer. Plan your start date around the consulate interview appointment window, not the LCA certification date.
What happens to my H-1B1 Chile status if my AI ML Engineer role changes significantly after I start?
Material changes to your job duties, worksite location, or employer require a new Labor Condition Application and, in most cases, a new H-1B1 visa stamp before the change takes effect. A promotion to engineering manager or a shift from model development to product strategy can constitute a material change. Your employer's immigration contact should review any role modification before it's finalized to avoid a status violation.