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 JobsINTRODUCTION
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.
The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
JOB DESCRIPTION
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
You’ll play a critical role in scaling our ML Infrastructure, optimizing AI training and inference systems, and driving innovations that make Snapchat’s ranking and recommendation systems more efficient and impactful.
We’re looking for a Software Engineer, ML Infrastructure to join Snap Inc!
Responsibilities:
- Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure
- Develop high-performance inference systems to ensure fast and efficient AI model serving
- Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud
- Develop high-performance inference systems to ensure fast and efficient AI model serving
- Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
- Work on state-of-the-art vector search algorithms to improve the precision, recall and scalability of our retrieval systems
- Work closely with ML engineers to deploy cutting-edge models into production
KNOWLEDGE, SKILLS & ABILITIES:
- Strong programming skills in Python, Java, Scala or C++
- Strong problem-solving skills with a focus on system performance, scalability, and efficiency
- Good understanding of distributed systems and the infrastructure components of large-scale ML
- Experience with big data processing frameworks such as Spark, Flink, or Ray
- Ability to collaborate and work well with others
- Proven track record of operating highly-available systems at significant scale
- Ability to proactively learn new concepts and apply them at work
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in a technical field such as computer science or equivalent experience
- 6+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 5+ years of post-grad software development experience; or PhD in a relevant technical field + 2+ years of post-grad software development experience
- Experience building large scale production machine learning systems, distributed systems or big data processing
PREFERRED QUALIFICATIONS:
- Masters/PhD in a technical field such as computer science or equivalent industry experience
- Experience working with ML Training platforms or optimizing AI model inference
- Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
OUR BENEFITS:
Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
COMPENSATION
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
Zone A (CA, WA, NYC):
The base salary range for this position is $209,000-$313,000 annually.
Zone B:
The base salary range for this position is $199,000-$297,000 annually.
Zone C:
The base salary range for this position is $178,000-$266,000 annually.
This position is eligible for equity in the form of RSUs.
INTRODUCTION
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.
The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
JOB DESCRIPTION
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
You’ll play a critical role in scaling our ML Infrastructure, optimizing AI training and inference systems, and driving innovations that make Snapchat’s ranking and recommendation systems more efficient and impactful.
We’re looking for a Software Engineer, ML Infrastructure to join Snap Inc!
Responsibilities:
- Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure
- Develop high-performance inference systems to ensure fast and efficient AI model serving
- Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud
- Develop high-performance inference systems to ensure fast and efficient AI model serving
- Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
- Work on state-of-the-art vector search algorithms to improve the precision, recall and scalability of our retrieval systems
- Work closely with ML engineers to deploy cutting-edge models into production
KNOWLEDGE, SKILLS & ABILITIES:
- Strong programming skills in Python, Java, Scala or C++
- Strong problem-solving skills with a focus on system performance, scalability, and efficiency
- Good understanding of distributed systems and the infrastructure components of large-scale ML
- Experience with big data processing frameworks such as Spark, Flink, or Ray
- Ability to collaborate and work well with others
- Proven track record of operating highly-available systems at significant scale
- Ability to proactively learn new concepts and apply them at work
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in a technical field such as computer science or equivalent experience
- 6+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 5+ years of post-grad software development experience; or PhD in a relevant technical field + 2+ years of post-grad software development experience
- Experience building large scale production machine learning systems, distributed systems or big data processing
PREFERRED QUALIFICATIONS:
- Masters/PhD in a technical field such as computer science or equivalent industry experience
- Experience working with ML Training platforms or optimizing AI model inference
- Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
OUR BENEFITS:
Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
COMPENSATION
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
Zone A (CA, WA, NYC):
The base salary range for this position is $209,000-$313,000 annually.
Zone B:
The base salary range for this position is $199,000-$297,000 annually.
Zone C:
The base salary range for this position is $178,000-$266,000 annually.
This position is eligible for equity in the form of RSUs.
See all 315+ H-1B1 Chile Visa AI ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Chile Visa AI ML Engineer Jobs.
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.