E-3 Visa Research Engineer Jobs
Research Engineer roles qualify for E-3 visa sponsorship when the position requires a bachelor's degree or higher in engineering, computer science, or a related technical field. The E-3 has no lottery and no annual cap, so you can apply as soon as you have a job offer from a U.S. employer willing to file an LCA.
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Prime Video is looking for a Research Engineer to support scientific research efforts in our Content Reasoning, Enrichment and Localization team. We build and deploy Generative AI models across Prime Video Lines of Business, including Derivative Content, Trust & Safety, and Metadata Localization. A Research Engineer supports Applied Scientists on the team by building experiment frameworks, infrastructure and deployment packages. A Research Engineer may be called to directly facilitate science benchmarking, model training, model deployment, and deep dive on any deep learning related technical problem. This person may be called to lead or facilitate a joint project between science and engineering team. This role would be responsible for end-to-end ownership of model training and deployment, from managing our GPU cluster, to monitoring job queues, and containerizing trained for deploying models into production. This role will support several research teams with remits across lines of business and machine learning methodologies.
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!
Key job responsibilities
Cluster Management
- Architect and operate SLURM cluster infrastructure for distributed training and evaluation workloads
- Maintain healthy job status and manage queues from different users and teams
- Monitor feedback regarding cluster features and functions
- Identify and drive infrastructure optimization opportunities
- Develop self-service tooling, automation, and APIs
Model Deployment
- Gather requirements from collaborators on research teams
- Containerize Machine Learning Models
- Shepherd models through deployment into beta environments, including debugging builds
- Develop data collection, aggregation and monitoring pipelines
- Build observability and monitoring systems or dashboards for ML infrastructure
About the team
This team's mission is to deeply understand all content and empower customers with relevant language options, innovative accessibility assists, and rich title-information across all their content experiences on Prime Video. We delight our customers by pushing the boundaries of content understanding and enrichment. Through inclusion and innovation, we do the most fulfilling work of our career.
BASIC QUALIFICATIONS
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
- Bachelor's degree, or 2+ years of working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT experience
- 3+ years of cloud computing technologies experience
- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
PREFERRED QUALIFICATIONS
- Experience with distributed systems at scale
- Master's degree
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Publications or contributions to open-source HPC projects
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, SEATTLE - 129,200.00 - 174,800.00 USD annually
DESCRIPTION
Prime Video is looking for a Research Engineer to support scientific research efforts in our Content Reasoning, Enrichment and Localization team. We build and deploy Generative AI models across Prime Video Lines of Business, including Derivative Content, Trust & Safety, and Metadata Localization. A Research Engineer supports Applied Scientists on the team by building experiment frameworks, infrastructure and deployment packages. A Research Engineer may be called to directly facilitate science benchmarking, model training, model deployment, and deep dive on any deep learning related technical problem. This person may be called to lead or facilitate a joint project between science and engineering team. This role would be responsible for end-to-end ownership of model training and deployment, from managing our GPU cluster, to monitoring job queues, and containerizing trained for deploying models into production. This role will support several research teams with remits across lines of business and machine learning methodologies.
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!
Key job responsibilities
Cluster Management
- Architect and operate SLURM cluster infrastructure for distributed training and evaluation workloads
- Maintain healthy job status and manage queues from different users and teams
- Monitor feedback regarding cluster features and functions
- Identify and drive infrastructure optimization opportunities
- Develop self-service tooling, automation, and APIs
Model Deployment
- Gather requirements from collaborators on research teams
- Containerize Machine Learning Models
- Shepherd models through deployment into beta environments, including debugging builds
- Develop data collection, aggregation and monitoring pipelines
- Build observability and monitoring systems or dashboards for ML infrastructure
About the team
This team's mission is to deeply understand all content and empower customers with relevant language options, innovative accessibility assists, and rich title-information across all their content experiences on Prime Video. We delight our customers by pushing the boundaries of content understanding and enrichment. Through inclusion and innovation, we do the most fulfilling work of our career.
BASIC QUALIFICATIONS
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
- Bachelor's degree, or 2+ years of working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT experience
- 3+ years of cloud computing technologies experience
- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
PREFERRED QUALIFICATIONS
- Experience with distributed systems at scale
- Master's degree
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Publications or contributions to open-source HPC projects
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, SEATTLE - 129,200.00 - 174,800.00 USD annually
See all 931+ E-3 Visa Research Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Research Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Research Engineer
Align your credentials to specialty occupation standards
Your Australian engineering degree needs to map directly to the research role, not just engineering broadly. A three-year bachelor's is generally accepted as equivalent to a U.S. four-year degree, but document that equivalency with transcripts and a credential evaluation before interviewing.
Target employers with active research divisions
Focus on companies, national labs, and universities that run funded R&D programs. These employers already understand specialty occupation requirements and are structured to file LCAs through DOL, which reduces friction during the offer stage.
Clarify the LCA timeline before accepting an offer
Some employers don't realize LCA certification typically takes seven business days through DOL before your visa application can proceed. Raise this early so the hiring team builds it into their onboarding timeline and isn't caught off guard.
Use Migrate Mate's E-3 filing service for your paperwork
Once you have a signed offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. This keeps the process on track and reduces the chance of delays caused by documentation errors on the employer's side.
Address dual-intent questions directly at your interview
The E-3 is a nonimmigrant visa, so consular officers will probe for immigrant intent. If you're applying for a research role with green card potential, prepare a clear, honest explanation of your current nonimmigrant intentions without volunteering information about long-term plans.
Confirm your employer is registered for E-Verify if required
If your research role is at a federal contractor or a university that participates in E-Verify, confirm enrollment before your start date. Gaps in E-Verify compliance can delay your work authorization activation even after your visa is issued.
E-3 Visa Research Engineer: Frequently Asked Questions
How do I find Research Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It filters Research Engineer roles by employers who have actively sponsored E-3 or H-1B visas, so you're not wasting time on listings where sponsorship is unlikely. Standard job boards don't filter by visa sponsorship history, which makes the search significantly harder without a dedicated tool.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Research Engineer role qualify as a specialty occupation for the E-3?
Yes, in most cases. Research Engineer positions typically require at least a bachelor's degree in engineering, computer science, materials science, or a closely related field, which satisfies the specialty occupation definition. The key is that the job description must state a degree requirement, not just a preference. Roles where a general degree in any field is accepted can create problems at the consulate.
How does the E-3 compare to the H-1B for Research Engineer roles?
The E-3 is available exclusively to Australian nationals and has no lottery, no annual cap, and no waiting period tied to fiscal year cycles. H-1B requires surviving a random lottery with roughly a one-in-four chance of selection. For Research Engineers who qualify as Australian citizens, the E-3 is a straightforward path that can start any time of year, without the uncertainty of an H-1B lottery round.
Can I change employers or research projects on an E-3 visa?
You can change employers, but the process restarts from the beginning. Your new employer must file a fresh LCA with DOL and you'll need to attend a new consular interview before starting work. You can't simply transfer your existing E-3 to a new company. If you're between roles, you're generally expected to maintain lawful status, so timing the transition carefully matters.