H-1B1 Chile Visa Research Engineer Jobs
Research Engineer jobs with H-1B1 Chile visa sponsorship are open to Chilean nationals without a lottery or USCIS petition. The 1,400-visa annual cap rarely fills, and your application goes directly to a U.S. consulate. Employers file a Labor Condition Application with DOL, and you can be working in the U.S. within weeks of an offer.
See All Research Engineer JobsOverview
Showing 5 of 12+ Research Engineer jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all Research Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Engineer roles.
Get Access To All JobsINTRODUCTION
Meta is seeking AI research engineers to help us build the data foundation for Meta's large language and media models. We're looking for LLM/LMM expertise to join us on working with data at scale and to push beyond the data ceiling. Our team contributes to data curation across all stages of LLM/LMM development (pre-training, mid-training, post-training) and all domains/modalities (image, video, audio, agent, media perception and generation). We are tackling complex challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms in AI research. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta’s frontier models while having the chance to collaborate with researchers and engineers across MSL.
ROLE AND RESPONSIBILITIES
- Collaborate with cross-functional teams to develop Meta’s next foundational models
- Architect efficient and scalable data curation systems and pipelines
- Improve data processing speed and throughput across workflows and projects by building and enhancing data tooling
- Execute on high priority projects in pre-training, mid-training, or post-training data curation
- Apply specialized expertise in video/image generation, video/image perception, OCR, data scaling laws, or data mixing
- Lead complex technical projects end-to-end
MINIMUM QUALIFICATIONS
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 1+ years of industry research experience in LLM/LMM, computer vision, or related AI/ML models
- Experience owning and/or driving complex technical projects from end-to-end
- Practical experience with multimodal pre-training or mid-training data curation for large media perception or generation models
- Demonstrated data infrastructure and software background, and experience building data tooling and services
- Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI
PREFERRED QUALIFICATIONS
- Familiarity with SQL and file formats, such as Hive, Iceberg, Parquet, etc
- Experience working on frontier-quality/state-of-the-art Large Language or Large Media Models
- Programming experience in Python and hands-on experience with frameworks like PyTorch or Spark, or related distributed computing frameworks (Ray, DataFlow)
ABOUT META
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- Salary Range: $154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
INTRODUCTION
Meta is seeking AI research engineers to help us build the data foundation for Meta's large language and media models. We're looking for LLM/LMM expertise to join us on working with data at scale and to push beyond the data ceiling. Our team contributes to data curation across all stages of LLM/LMM development (pre-training, mid-training, post-training) and all domains/modalities (image, video, audio, agent, media perception and generation). We are tackling complex challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms in AI research. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta’s frontier models while having the chance to collaborate with researchers and engineers across MSL.
ROLE AND RESPONSIBILITIES
- Collaborate with cross-functional teams to develop Meta’s next foundational models
- Architect efficient and scalable data curation systems and pipelines
- Improve data processing speed and throughput across workflows and projects by building and enhancing data tooling
- Execute on high priority projects in pre-training, mid-training, or post-training data curation
- Apply specialized expertise in video/image generation, video/image perception, OCR, data scaling laws, or data mixing
- Lead complex technical projects end-to-end
MINIMUM QUALIFICATIONS
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 1+ years of industry research experience in LLM/LMM, computer vision, or related AI/ML models
- Experience owning and/or driving complex technical projects from end-to-end
- Practical experience with multimodal pre-training or mid-training data curation for large media perception or generation models
- Demonstrated data infrastructure and software background, and experience building data tooling and services
- Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI
PREFERRED QUALIFICATIONS
- Familiarity with SQL and file formats, such as Hive, Iceberg, Parquet, etc
- Experience working on frontier-quality/state-of-the-art Large Language or Large Media Models
- Programming experience in Python and hands-on experience with frameworks like PyTorch or Spark, or related distributed computing frameworks (Ray, DataFlow)
ABOUT META
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- Salary Range: $154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
See all Research Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Research Engineer
Verify your degree field matches the role
H-1B1 Chile requires a specialty occupation with a direct degree-to-role connection. A general engineering degree supporting a research role in a different discipline can trigger consular questions, so align your credentials to the specific research domain before applying.
Search employers using OFLC Wage Search data
Filter OFLC Wage Search results by SOC code 17-2199 or 15-1299 to identify companies that have filed LCAs for Research Engineer roles. Employers with recent LCA filings already understand H-1B1 visa Chile mechanics and are faster to move from offer to consulate.
Target R&D-heavy employers with existing LCA history
National labs, semiconductor firms, and university-affiliated research institutes file LCAs regularly for research roles. These employers have established compliance teams and are less likely to stall on the paperwork when they learn the H-1B1 Chile requires no lottery and no USCIS petition.
Find H-1B1 Chile sponsorship roles on Migrate Mate
Migrate Mate surfaces Research Engineer jobs filtered for employers with active LCA filing history under H-1B1 Chile. Use it to skip cold outreach and focus on companies already set up to sponsor Chilean nationals through the consular process.
Confirm prevailing wage tier before negotiating salary
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your specific SOC code and work location. Check the OFLC Wage Search before offer negotiations so you know the wage floor and can benchmark your ask accordingly.
Prepare your consular packet before your interview date
Unlike H-1B visa, H-1B1 Chile is adjudicated at the consulate, not by USCIS. Bring the certified LCA, your offer letter, degree transcripts, and any publications or patents that confirm specialty occupation. Consular officers assess the degree-to-role fit in real time, so documentation gaps cause delays.
Frequently Asked Questions
Does a Research Engineer role qualify as a specialty occupation for H-1B1 Chile?
Yes. Research Engineer roles typically require at least a bachelor's degree in engineering, computer science, materials science, or a closely related field, which satisfies the specialty occupation requirement. The key is that your specific degree field must align with the research domain your employer assigns you. A mismatch, such as a business degree supporting an electrical research role, can cause a consular denial.
How does H-1B1 Chile differ from H-1B for Research Engineer positions?
H-1B1 Chile has no lottery, no USCIS petition, and a 1,400-visa annual cap that has never been exhausted. For Research Engineer roles, this means you can receive an offer, have your employer file a Labor Condition Application with DOL, and attend a consulate interview without the uncertainty of a March lottery draw. The tradeoff is that H-1B1 Chile does not confer dual intent, so maintaining nonimmigrant intent is required.
How do I find employers who are set up to sponsor H-1B1 Chile visas for research roles?
Migrate Mate filters Research Engineer jobs by employers with verified LCA filing history under the H-1B1 Chile category. This is faster than cold outreach because you're starting conversations with companies that already understand the consular filing process and have compliance teams in place to handle the DOL paperwork.
What does the employer actually have to file for an H-1B1 Chile Research Engineer hire?
The employer files a Labor Condition Application with DOL, certifying that the offered wage meets the prevailing wage for your SOC code and work location, and that hiring you won't adversely affect similarly employed U.S. workers. There is no I-129 petition to USCIS and no registration fee. Once the LCA is certified, you use it at your consulate interview to obtain the visa stamp.
Can I use my O*NET profile to support a specialty occupation argument at the consulate?
Yes. O*NET classifies Research Engineer roles under job zones that specify a bachelor's degree or higher as the typical entry requirement, and consular officers are familiar with O*NET data as evidence of specialty occupation. Bring a printed O*NET profile for your specific occupation code alongside your degree transcripts to reinforce the degree-to-role connection during the interview.
See which Research Engineer employers are hiring and sponsoring visas right now.
Search Research Engineer Jobs