H-1B Visa Research Engineer Jobs
Research Engineer roles qualify as H-1B specialty occupations when they require at least a bachelor's degree in engineering, computer science, or a directly related field. Many research-focused employers file H-1B petitions annually, and roles at universities or nonprofit research institutions may qualify for cap-exempt status, bypassing the lottery entirely.
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Get Access To All JobsINTRODUCTION
Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.
Join our team building production ML infrastructure for enterprise-scale machine learning pipelines. You'll work on a platform that orchestrates end-to-end ML workflows from data ingestion through model training, evaluation, and deployment.
ROLE AND RESPONSIBILITIES
- Build and maintain Apache Airflow DAGs for ML pipeline orchestration
- Develop SageMaker training jobs for NLP models (NeMo, PyTorch)
- Implement MLflow tracking and model registry integrations
- Write infrastructure-as-code using Terraform (AWS S3, IAM, VPC)
- Create comprehensive tests for ML pipeline components
- Follow spec-driven development practices with Claude Code
- Contribute to ML observability and evaluation frameworks
BASIC QUALIFICATIONS
- Experience with PyTorch, transformers, or other ML libraries
- Familiarity with ML model evaluation and experimentation
- Interest in ML/AI infrastructure and operations
- Strong problem-solving and debugging skills
- Comfortable with Linux/command-line environments
- Knowledge of AWS services (S3, SageMaker, IAM)
- Exposure to Apache Airflow or workflow orchestration
- Understanding of CI/CD, testing, or infrastructure-as-code
ABOUT OUR CULTURE
Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
INTRODUCTION
Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.
Join our team building production ML infrastructure for enterprise-scale machine learning pipelines. You'll work on a platform that orchestrates end-to-end ML workflows from data ingestion through model training, evaluation, and deployment.
ROLE AND RESPONSIBILITIES
- Build and maintain Apache Airflow DAGs for ML pipeline orchestration
- Develop SageMaker training jobs for NLP models (NeMo, PyTorch)
- Implement MLflow tracking and model registry integrations
- Write infrastructure-as-code using Terraform (AWS S3, IAM, VPC)
- Create comprehensive tests for ML pipeline components
- Follow spec-driven development practices with Claude Code
- Contribute to ML observability and evaluation frameworks
BASIC QUALIFICATIONS
- Experience with PyTorch, transformers, or other ML libraries
- Familiarity with ML model evaluation and experimentation
- Interest in ML/AI infrastructure and operations
- Strong problem-solving and debugging skills
- Comfortable with Linux/command-line environments
- Knowledge of AWS services (S3, SageMaker, IAM)
- Exposure to Apache Airflow or workflow orchestration
- Understanding of CI/CD, testing, or infrastructure-as-code
ABOUT OUR CULTURE
Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
See all 2,475+ Research Engineer jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Research Engineer
Verify your degree field matches the role
USCIS requires your degree to directly relate to the research engineering position, not just STEM broadly. A mechanical engineering degree supporting a materials research role clears this bar; a general business degree typically doesn't. Check the O*NET profile for your specific research discipline.
Target cap-exempt research employers first
Universities, affiliated research institutions, and nonprofits attached to higher education are cap-exempt, meaning they can file your H-1B petition any time without lottery selection. Pursue these employers if you need status sooner than the next October 1 start date.
Search H-1B filing history on Migrate Mate
Use Migrate Mate to filter Research Engineer openings by employers with verified H-1B LCA filing history, so you're applying to companies that have already committed to sponsoring this role type rather than hoping a recruiter can answer the question.
Ask employers about their prevailing wage tier
Your H-1B petition requires DOL certification at a prevailing wage level for your specific SOC code and work location. Use the OFLC Wage Search before your offer conversation to understand which wage tier the employer is likely filing at for your role and metro area.
Prepare a publications and IP disclosure summary
Research Engineer petitions often require evidence of specialized expertise. Compile a list of published papers, patents, conference presentations, or proprietary research contributions before your employer starts the H-1B filing process. This documentation speeds up RFE responses if USCIS questions specialty occupation.
Confirm premium processing availability before accepting
USCIS offers premium processing for H-1B petitions, which targets a 15-business-day adjudication window. If your project timeline or start date is fixed, confirm your employer is willing to file with premium processing before you give notice at a current position.
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Find Research Engineer JobsResearch Engineer H-1B Visa: Frequently Asked Questions
Does a Research Engineer role qualify as an H-1B specialty occupation?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as electrical engineering, computer science, materials science, or a comparable discipline. USCIS evaluates whether the specific research tasks require theoretical and practical application of highly specialized knowledge. Generic research assistant roles without a defined degree requirement may not qualify, so the job description wording matters significantly.
Can I get an H-1B as a Research Engineer without going through the lottery?
Yes, if your employer is cap-exempt. Universities, nonprofit research organizations, and government research labs are not subject to the annual H-1B cap or lottery. If you're employed by or working at one of these institutions, your employer can file your petition at any point in the year. Roles at for-profit tech or pharmaceutical research divisions are generally cap-subject and require lottery selection.
What documentation does my employer need to file an H-1B for a Research Engineer?
Your employer needs a certified Labor Condition Application from DOL, which covers the prevailing wage for your SOC code and work location. They'll also need evidence that the role is a specialty occupation, typically supported by your academic credentials, any licenses, and documentation of the research scope. Your published work, patents, or research portfolio can strengthen the petition if USCIS issues an RFE.
How do I find Research Engineer employers who actually sponsor H-1B visas?
Migrate Mate shows Research Engineer openings filtered by employers with verified H-1B LCA filing history, so you're not guessing whether a company sponsors. You can also cross-reference the OFLC Wage Search to see what prevailing wage tier employers have filed for comparable roles in specific metro areas, which gives you a clearer picture of hiring patterns before you apply.
What happens to my H-1B if my research project ends or my employer loses funding?
Your H-1B status is tied to your employer, not the specific project. If your employment ends, you have a 60-day grace period under USCIS rules to find a new sponsor, change status, or depart. A new employer can file an H-1B transfer petition during this window, and you can begin work for the new employer once USCIS receives the petition, not after approval.
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