Technology H-1B1 Chile Sponsorship Jobs in Washington
Washington's technology sector, anchored in Seattle, Bellevue, and Redmond, is one of the most active H-1B1 Chile sponsorship markets in the country. Major employers including Microsoft, Amazon, and Salesforce have established LCA filing histories covering software engineering, data science, cloud infrastructure, and product roles that qualify Chilean nationals holding a specialty occupation degree.
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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.
Snap Research serves as an innovation engine for the company. Our projects range from solutions to hard technical problems that significantly enhance Snap’s existing products, to riskier explorations that can lead to fundamental paradigm shifts in the way people communicate and express themselves. The team consists of scientists and engineers who experiment with and invent new technology that has a lasting impact on Snap’s products. We also frequently publish our work at top conferences and journals in computer science and related fields.
We are looking for a Research Scientist to join our User Modeling and Personalization Research Team! Our team’s mission is to invent new ways to model user behavior, and empower our business partners to build world-class user-centric ML systems which shape personalized experiences across Snap. Our work spans the domains of generative and language models for information retrieval, efficient large-scale recommender systems, and representation learning for structured graph data. Together with you, we seek to redefine the state-of-the-art in technology to deliver our users customized experiences which delight them.
ROLE AND RESPONSIBILITIES
What you'll do:
- Lead research projects in the user modeling and personalization domains, including generative modeling, recommendation systems, information retrieval, and efficiency
- Build scalable research prototypes and evaluate them in large-scale machine learning scenarios
- Share your expertise with teammates and interns
- Publish your findings at top conferences
- Partner with engineering teams to deliver your technology to millions of Snapchatters
BASIC QUALIFICATIONS
- Strong technical knowledge of machine learning, information retrieval, personalization, and state-of-the-art deep learning literature
- Demonstrated ability in defining, leading and executing challenging research projects
- Strong computer science fundamentals, problem-solving and engineering skills (Python, PyTorch)
- Pragmatic, hands-on approach to research with a drive to build working prototypes rather than solely rely on theoretical exploration
- Proven ability to mentor interns, students and junior researchers
MINIMUM QUALIFICATIONS
- PhD in a related technical field such as computer science, machine learning, or mathematics or equivalent years of practical work experience
- Strong familiarity with PyTorch, and hands-on experience with distributed (multi-node and multi-GPU) machine learning model training, inference and experimentation
- Experience applying language models in the context of generative search, ranking and/or personalization
- Track record of publications (first-author preferred) in top machine learning, information retrieval or language venues (e.g. ICLR, NeurIPS, ICML, KDD, RecSys, SIGIR, WSDM, ACL, COLM, etc.)
PREFERRED QUALIFICATIONS
- Experience with large-scale machine learning problems in an academic or industrial research lab, or equivalent open-source experience
- Experience with large-scale data processing, collection or synthesis using machine learning frameworks on Enterprise Cloud solutions like Google Cloud, AWS, and/or Azure
- Familiarity with post-training, preference optimization, working with large-scale search or recommendation interaction data, and recommender systems
- Demonstrated ability to transform cutting-edge research into tangible product improvements
"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 $173,000-$259,000 annually.
Zone B:
The base salary range for this position is $164,000-$246,000 annually.
Zone C:
The base salary range for this position is $147,000-$220,000 annually.
This position is eligible for equity in the form of RSUs.
If you believe this job description is missing required pay transparency information, please submit a report through this form: Job Description Pay Range Disclosure.
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.
Snap Research serves as an innovation engine for the company. Our projects range from solutions to hard technical problems that significantly enhance Snap’s existing products, to riskier explorations that can lead to fundamental paradigm shifts in the way people communicate and express themselves. The team consists of scientists and engineers who experiment with and invent new technology that has a lasting impact on Snap’s products. We also frequently publish our work at top conferences and journals in computer science and related fields.
We are looking for a Research Scientist to join our User Modeling and Personalization Research Team! Our team’s mission is to invent new ways to model user behavior, and empower our business partners to build world-class user-centric ML systems which shape personalized experiences across Snap. Our work spans the domains of generative and language models for information retrieval, efficient large-scale recommender systems, and representation learning for structured graph data. Together with you, we seek to redefine the state-of-the-art in technology to deliver our users customized experiences which delight them.
ROLE AND RESPONSIBILITIES
What you'll do:
- Lead research projects in the user modeling and personalization domains, including generative modeling, recommendation systems, information retrieval, and efficiency
- Build scalable research prototypes and evaluate them in large-scale machine learning scenarios
- Share your expertise with teammates and interns
- Publish your findings at top conferences
- Partner with engineering teams to deliver your technology to millions of Snapchatters
BASIC QUALIFICATIONS
- Strong technical knowledge of machine learning, information retrieval, personalization, and state-of-the-art deep learning literature
- Demonstrated ability in defining, leading and executing challenging research projects
- Strong computer science fundamentals, problem-solving and engineering skills (Python, PyTorch)
- Pragmatic, hands-on approach to research with a drive to build working prototypes rather than solely rely on theoretical exploration
- Proven ability to mentor interns, students and junior researchers
MINIMUM QUALIFICATIONS
- PhD in a related technical field such as computer science, machine learning, or mathematics or equivalent years of practical work experience
- Strong familiarity with PyTorch, and hands-on experience with distributed (multi-node and multi-GPU) machine learning model training, inference and experimentation
- Experience applying language models in the context of generative search, ranking and/or personalization
- Track record of publications (first-author preferred) in top machine learning, information retrieval or language venues (e.g. ICLR, NeurIPS, ICML, KDD, RecSys, SIGIR, WSDM, ACL, COLM, etc.)
PREFERRED QUALIFICATIONS
- Experience with large-scale machine learning problems in an academic or industrial research lab, or equivalent open-source experience
- Experience with large-scale data processing, collection or synthesis using machine learning frameworks on Enterprise Cloud solutions like Google Cloud, AWS, and/or Azure
- Familiarity with post-training, preference optimization, working with large-scale search or recommendation interaction data, and recommender systems
- Demonstrated ability to transform cutting-edge research into tangible product improvements
"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 $173,000-$259,000 annually.
Zone B:
The base salary range for this position is $164,000-$246,000 annually.
Zone C:
The base salary range for this position is $147,000-$220,000 annually.
This position is eligible for equity in the form of RSUs.
If you believe this job description is missing required pay transparency information, please submit a report through this form: Job Description Pay Range Disclosure.
H-1B1 Chile Technology Job Roles in Washington
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Search Technology Jobs in WashingtonTechnology H-1B1 Chile Sponsorship Jobs in Washington: Frequently Asked Questions
Which technology companies in Washington sponsor H-1B1 Chile visas?
Washington's largest technology employers have documented H-1B1 Chile LCA filing histories. Microsoft and Amazon, both headquartered in the greater Seattle area, file regularly across engineering and technical roles. Salesforce, Google, and Meta also maintain Washington offices with active sponsorship activity. Smaller software and cloud companies in Bellevue and Kirkland have also appeared in OFLC filings for qualifying specialty occupation positions.
Which cities in Washington have the most technology H-1B1 Chile sponsorship jobs?
Seattle concentrates the highest volume of technology H-1B1 Chile sponsorship activity in Washington, driven by the density of major tech headquarters and mid-sized software companies operating downtown and in South Lake Union. Bellevue and Redmond follow closely, with Microsoft's campus in Redmond generating consistent filings. Kirkland, Bothell, and Olympia represent smaller but active secondary markets for technology roles.
What types of technology roles typically qualify for H-1B1 Chile sponsorship?
Roles that qualify for H-1B1 Chile sponsorship in technology must meet the specialty occupation standard, requiring at least a bachelor's degree in a directly related field. Software engineers, data scientists, cloud architects, cybersecurity analysts, machine learning engineers, systems analysts, and DevOps engineers commonly meet this threshold. Generalist roles where no specific degree field is required typically do not qualify, so the connection between the degree and the position matters significantly.
How do I find technology H-1B1 Chile sponsorship jobs in Washington?
Migrate Mate is built specifically for this search. You can filter by visa type, state, and industry to surface Washington technology employers with verified H-1B1 Chile LCA filing history, so you're targeting companies that have already demonstrated willingness to sponsor rather than guessing from general job boards. This saves considerable time compared to manually cross-referencing OFLC filings against open positions.
Are there any Washington-specific considerations for H-1B1 Chile sponsorship in technology?
Washington has no state income tax, which affects prevailing wage comparisons since OFLC wage determinations are gross figures. The Seattle metropolitan area's prevailing wage levels for technology roles, tracked through the OFLC Wage Search, tend to rank among the highest nationally, meaning employers filing LCAs in Washington must certify competitive wages. Washington's concentration of large tech employers also means LCA filings are relatively common, giving Chilean nationals more options than in lower-density states.
What is the prevailing wage for H-1B1 Chile technology jobs in Washington?
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.