OPT AI Research Engineer Jobs
AI Research Engineer roles sit at the intersection of machine learning research and production systems, making them one of the most competitive OPT job categories. Most positions require a master's or PhD and fall squarely within STEM OPT, giving you up to 36 months of work authorization to establish yourself in U.S. research teams.
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Get Access To All JobsJob Title: Domain AI Researcher
Location: San Francisco, California
Posting Start Date: 9/21/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.
Role Overview
Static datasets are no longer sufficient to evaluate frontier models; they must interact, plan, and execute within dynamic environments. We are seeking a highly technical Domain AI Researcher to build the ground truth for agentic workflows. You will design secure execution sandboxes, generate complex synthetic data, and identify the exact thresholds where models fail in multi-step reasoning tasks.
Key Responsibilities
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Build Execution Sandboxes: Architect secure, containerized environments (Docker, gVisor) to safely evaluate LLM-generated code, shell commands, and agentic actions across multi-file repositories.
-
Drive Data Synthesis: Build pipelines for rejection sampling, self-instruct, and synthetic data generation to create high-signal SFT and RLHF data specifically tailored to coding and system-level tasks.
-
Create the Ground Truth: Move beyond standard unit tests to curate complex edge-case scenarios, design AST-level validation checks, and measure functional accuracy on multi-step frameworks.
-
Collaborate & Publish: Partner with the Lead Researcher to transform execution sandboxes into publishable, open-source benchmarks (analogous to specialized SWE-bench frameworks) and co-author resulting research papers.
Candidate Profile
-
Academic Background: Degree in Computer Science, Systems Engineering, or a related field with a heavy emphasis on machine learning and software architecture.
-
Technical Expertise: Advanced programming proficiency (Python, C++, or Rust) coupled with deep knowledge of Docker, CI/CD pipelines, and code-parsing tools (AST, Tree-sitter, LSP).
-
AI Frameworks: Hands-on experience with LLM orchestration frameworks (e.g., LangChain, AutoGen) and observability/tracing tools.
-
Analytical Intuition: A strong investigative mindset tailored to finding edge cases—such as context window retrieval failures or infinite agent loops—and engineering the datasets required to resolve them.
Expected annual pay for this role ranges from $240,000.00 to $412,500.00. Based on the position, the role is also eligible for Wipro’s standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
Applications from people with disabilities are explicitly welcome.
Job Title: Domain AI Researcher
Location: San Francisco, California
Posting Start Date: 9/21/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.
Role Overview
Static datasets are no longer sufficient to evaluate frontier models; they must interact, plan, and execute within dynamic environments. We are seeking a highly technical Domain AI Researcher to build the ground truth for agentic workflows. You will design secure execution sandboxes, generate complex synthetic data, and identify the exact thresholds where models fail in multi-step reasoning tasks.
Key Responsibilities
-
Build Execution Sandboxes: Architect secure, containerized environments (Docker, gVisor) to safely evaluate LLM-generated code, shell commands, and agentic actions across multi-file repositories.
-
Drive Data Synthesis: Build pipelines for rejection sampling, self-instruct, and synthetic data generation to create high-signal SFT and RLHF data specifically tailored to coding and system-level tasks.
-
Create the Ground Truth: Move beyond standard unit tests to curate complex edge-case scenarios, design AST-level validation checks, and measure functional accuracy on multi-step frameworks.
-
Collaborate & Publish: Partner with the Lead Researcher to transform execution sandboxes into publishable, open-source benchmarks (analogous to specialized SWE-bench frameworks) and co-author resulting research papers.
Candidate Profile
-
Academic Background: Degree in Computer Science, Systems Engineering, or a related field with a heavy emphasis on machine learning and software architecture.
-
Technical Expertise: Advanced programming proficiency (Python, C++, or Rust) coupled with deep knowledge of Docker, CI/CD pipelines, and code-parsing tools (AST, Tree-sitter, LSP).
-
AI Frameworks: Hands-on experience with LLM orchestration frameworks (e.g., LangChain, AutoGen) and observability/tracing tools.
-
Analytical Intuition: A strong investigative mindset tailored to finding edge cases—such as context window retrieval failures or infinite agent loops—and engineering the datasets required to resolve them.
Expected annual pay for this role ranges from $240,000.00 to $412,500.00. Based on the position, the role is also eligible for Wipro’s standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
Applications from people with disabilities are explicitly welcome.
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Research Engineer
Lead with publications and research output
AI Research Engineer hiring managers review your publication record before your resume. List arXiv preprints, conference papers, and workshop contributions prominently. Even one accepted NeurIPS or ICML paper substantially separates you from candidates without published work.
Target STEM-designated roles explicitly
Confirm the role is classified under a STEM CIP code before applying. AI Research Engineer positions typically fall under Computer Science or Electrical Engineering codes, which qualify for the 24-month STEM OPT extension beyond your initial 12 months.
Highlight your E-Verify employer requirement early
STEM OPT extension requires your employer to be E-Verify enrolled. Raise this in early conversations to avoid investing weeks in an interview process with an employer who cannot legally support your extension.
Showcase production-ready research skills
Many labs distinguish researchers who only prototype from those who can deploy. Demonstrate PyTorch or JAX proficiency alongside systems experience. Candidates who bridge research and engineering compress the sponsorship risk employers perceive during OPT periods.
Build a public portfolio of reproducible work
Open-source implementations of your research, well-documented GitHub repositories, and Hugging Face model cards all serve as persistent proof of skill. Hiring teams at research-focused employers frequently review these before extending interview invitations to OPT candidates.
Apply before your OPT start date when possible
Research roles have long hiring cycles, often eight to twelve weeks from first contact to offer. Starting your search three to four months before authorization begins gives employers the runway they need to complete approvals before your start date.
AI Research Engineer OPT: Frequently Asked Questions
Do AI Research Engineer roles qualify for the STEM OPT extension?
Yes, in most cases. AI Research Engineer positions are typically classified under Computer Science or Electrical Engineering CIP codes, both of which qualify for the 24-month STEM OPT extension. You should confirm the specific CIP code on your I-20 matches a STEM-designated field and verify that the employer is E-Verify enrolled before accepting an offer.
How do employers typically view OPT candidates for research engineering roles?
Research-focused employers, including university labs, AI startups, and large technology companies, are generally more comfortable hiring OPT candidates than employers in other industries because they already manage visa sponsorship for international researchers regularly. Your research output, technical depth, and alignment with the team's focus area matter more than your visa status in most screening conversations.
Where can I find AI Research Engineer jobs that are open to OPT candidates?
Migrate Mate filters job listings specifically for visa-sponsored and OPT-friendly roles, so you're not sifting through postings from employers who won't support work authorization. Browsing AI Research Engineer listings on Migrate Mate surfaces positions where sponsorship is already confirmed, which saves significant time during a job search with tight authorization deadlines.
Can I work as an AI Research Engineer on post-completion OPT before my STEM extension is approved?
Yes. You can begin working as soon as your OPT EAD card is valid and your employment is in a role directly related to your degree. You apply for the STEM extension up to 90 days before your initial OPT expires, and USCIS provides a 180-day automatic extension while the application is pending, so your authorization remains continuous.
What does the mandatory training plan requirement mean for AI Research Engineer roles?
During the STEM OPT extension, your employer must complete Form I-983, which outlines how the role provides practical training connected to your degree. For AI Research Engineer positions this is usually straightforward since the work directly involves applying advanced machine learning and computer science skills. Your employer's designated representative signs the plan and is responsible for reporting any material changes to your DSO.