STEM OPT Artificial Intelligence Scientist Jobs
Artificial Intelligence Scientist roles in machine learning, deep learning, and AI research are among the strongest fits for STEM OPT authorization. Your STEM degree qualifies you for the 24-month extension, giving you up to 36 months total to work for any employer enrolled in E-Verify and willing to file a formal training plan.
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PromptBio, established in 2023 in Pleasanton, California, is a biotechnology company dedicated to developing AI-driven workflows that automate the discovery of novel biomarkers from multi-omics data, translating them into clinical diagnostic applications.
ROLE AND RESPONSIBILITIES
We seek a motivated, hands-on AI Scientist to join our interdisciplinary team, focusing on integrating AI solutions within the life sciences domain.
- Design, prototype, and implement cutting-edge autonomous AI agents and multi-agent systems capable of dynamic planning, reasoning, memory management, and self-reflection.
- Develop and integrate core agent components, including planning modules (e.g., Tree-of-Thought, CoT-based planners), tool-use interfaces, and persistent long-term memory/retrieval mechanisms (RAG).
- Develop high-quality, production-ready code in Python/Go for integrating LLMs and other foundational models into functional agent architectures.
- Build and maintain scalable agent infrastructure using frameworks like LangChain ensuring seamless integration with cloud services (AWS preferred).
- Conduct rigorous testing, evaluation, and optimization of agent performance on complex, real-world tasks.
- Work closely with the engineering team to define agent use cases and translate research prototypes into deployable product features that deliver business value.
BASIC QUALIFICATIONS
- Minimum of 2-3 years of industry experience with demonstrated practical experience building and implementing LLM-based agents (e.g., using tool-calling, external memory, and multi-step reasoning).
- Strong understanding of key agentic concepts: Memory (Short-Term/Long-Term), Planning, Tool Use, and Self-Reflection/Evaluation.
- Hands-on experience with agentic automation/frameworks (e.g., LangChain, ReAct, etc.), vector databases (e.g., Qdrant), and infrastructure services (e.g., Bedrock AgentCore).
- Fluency with software engineering best practices, including testing, code reviews, version control (e.g., Git), and containerization.
- Knowledge of AI ethics and safety principles, particularly as they apply to autonomous decision-making systems.
- Knowledge of bioinformatics data analysis will be a significant plus.
- Ph.D. in AI, Machine Learning, Statistics, Bioinformatics or a related field.
PREFERRED QUALIFICATIONS
- Entrepreneurial mindset with comfort in ambiguous, fast-paced environments.
- Proactive, results-oriented, and driven with a "get things done" mindset.
- Strong problem-solving skills and adaptability to evolving project requirements.
- Collaborative team player who thrives in dynamic environments.
BENEFITS
- Financial security through competitive compensation, incentives, and retirement plan.
- Healthcare and well-being programs including competitive medical, dental, and vision benefits.
- Generous paid time-off including vacation, sick time, holidays, and discretionary winter shutdown.
- 401(k) retirement savings with a generous company match.
- Other comprehensive voluntary benefits include but are not limited to pet insurance, life insurance, employee assistance program (EAP), discount programs, and many more.
- We continue to optimize our benefits & wellness programs as we grow our organization to make sure they meet our diverse workforce needs.
- Hybrid work opportunities.
LOCATION
Location: Pleasanton, CA, USA
Employment: Full-time
INTRODUCTION
PromptBio, established in 2023 in Pleasanton, California, is a biotechnology company dedicated to developing AI-driven workflows that automate the discovery of novel biomarkers from multi-omics data, translating them into clinical diagnostic applications.
ROLE AND RESPONSIBILITIES
We seek a motivated, hands-on AI Scientist to join our interdisciplinary team, focusing on integrating AI solutions within the life sciences domain.
- Design, prototype, and implement cutting-edge autonomous AI agents and multi-agent systems capable of dynamic planning, reasoning, memory management, and self-reflection.
- Develop and integrate core agent components, including planning modules (e.g., Tree-of-Thought, CoT-based planners), tool-use interfaces, and persistent long-term memory/retrieval mechanisms (RAG).
- Develop high-quality, production-ready code in Python/Go for integrating LLMs and other foundational models into functional agent architectures.
- Build and maintain scalable agent infrastructure using frameworks like LangChain ensuring seamless integration with cloud services (AWS preferred).
- Conduct rigorous testing, evaluation, and optimization of agent performance on complex, real-world tasks.
- Work closely with the engineering team to define agent use cases and translate research prototypes into deployable product features that deliver business value.
BASIC QUALIFICATIONS
- Minimum of 2-3 years of industry experience with demonstrated practical experience building and implementing LLM-based agents (e.g., using tool-calling, external memory, and multi-step reasoning).
- Strong understanding of key agentic concepts: Memory (Short-Term/Long-Term), Planning, Tool Use, and Self-Reflection/Evaluation.
- Hands-on experience with agentic automation/frameworks (e.g., LangChain, ReAct, etc.), vector databases (e.g., Qdrant), and infrastructure services (e.g., Bedrock AgentCore).
- Fluency with software engineering best practices, including testing, code reviews, version control (e.g., Git), and containerization.
- Knowledge of AI ethics and safety principles, particularly as they apply to autonomous decision-making systems.
- Knowledge of bioinformatics data analysis will be a significant plus.
- Ph.D. in AI, Machine Learning, Statistics, Bioinformatics or a related field.
PREFERRED QUALIFICATIONS
- Entrepreneurial mindset with comfort in ambiguous, fast-paced environments.
- Proactive, results-oriented, and driven with a "get things done" mindset.
- Strong problem-solving skills and adaptability to evolving project requirements.
- Collaborative team player who thrives in dynamic environments.
BENEFITS
- Financial security through competitive compensation, incentives, and retirement plan.
- Healthcare and well-being programs including competitive medical, dental, and vision benefits.
- Generous paid time-off including vacation, sick time, holidays, and discretionary winter shutdown.
- 401(k) retirement savings with a generous company match.
- Other comprehensive voluntary benefits include but are not limited to pet insurance, life insurance, employee assistance program (EAP), discount programs, and many more.
- We continue to optimize our benefits & wellness programs as we grow our organization to make sure they meet our diverse workforce needs.
- Hybrid work opportunities.
LOCATION
Location: Pleasanton, CA, USA
Employment: Full-time
See all 538+ STEM OPT Artificial Intelligence Scientist Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as an Artificial Intelligence Scientist
Verify your CIP code before applying
Your STEM OPT eligibility depends on your degree's Classification of Instructional Programs code. Computer Science (11.0701), Applied Mathematics (27.0301), and Data Science (30.7001) codes all qualify. Confirm yours on your I-20 before targeting roles.
Check E-Verify enrollment before every application
AI Scientist roles at research labs and startups often lack E-Verify enrollment, which disqualifies them for STEM OPT. Search the E-Verify employer search tool by company name before investing time in any application or interview process.
Target employers with active AI-specific LCA filings
Companies that have filed Labor Condition Applications for AI Scientist or Machine Learning Engineer roles have cleared DOL's prevailing-wage process before. Use Migrate Mate to filter employers by verified filing history so you're focusing on proven sponsors.
Align your I-983 training plan to research outputs
USCIS requires your I-983 to list specific learning objectives tied to your AI Scientist role. Map each objective to deliverables like model architectures, published benchmarks, or deployed systems rather than generic skill categories. Your DSO must sign off before your extension activates.
Use the OFLC Wage Search to benchmark offers early
AI Scientist prevailing wages vary sharply by SOC code and geographic area. Pull the DOL wage level for your exact job title and metro before your first offer conversation so you can evaluate whether the role meets STEM OPT's requirement for bona fide employment.
Time your extension filing around your OPT end date
You must file the STEM OPT extension with USCIS at least 90 days before your initial OPT expires to maintain continuous work authorization. Missing this window forces a gap. Confirm your exact end date on your EAD card and count back from there.
Frequently Asked Questions
Does my degree qualify me for STEM OPT as an Artificial Intelligence Scientist?
Your degree qualifies if it carries a STEM-designated CIP code on your I-20. Degrees in Computer Science, Applied Mathematics, Electrical Engineering, Data Science, and Cognitive Science typically qualify. The role itself does not need to be formally classified as STEM, but your employer must confirm the position uses your STEM training on the I-983. Verify your CIP code with your DSO before filing.
What E-Verify requirement applies to my STEM OPT employer?
Every employer who hires you under the STEM OPT extension must be enrolled in E-Verify at the specific worksite where you'll be working, not just at the company's headquarters. This applies even if you're placed on a research team at a client site or a national lab. Confirm enrollment through the E-Verify employer search before accepting any offer.
What goes into the I-983 training plan for an AI Scientist role?
The I-983 requires you and your employer to document specific learning objectives, supervision structure, and how the role relates to your STEM degree. For AI Scientist positions, objectives should reference concrete research tasks such as developing novel model architectures, running ablation studies, or contributing to peer-reviewed publications. Generic entries like 'improve machine learning skills' are frequently flagged during USCIS review.
How does cap-gap protect my work authorization if I'm selected in the H-1B lottery?
If your employer files an H-1B visa petition on your behalf before your OPT or STEM OPT EAD expires and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30 of that year. Your employment as an AI Scientist can continue uninterrupted during this window. USCIS confirms cap-gap eligibility on its guidance pages, and your DSO updates your I-20 to reflect the extended period.
Where can I find Artificial Intelligence Scientist jobs at E-Verify employers?
Migrate Mate filters AI and machine learning roles specifically by employers who meet STEM OPT requirements, including E-Verify enrollment and prior sponsorship history. This saves you from applying to research positions at companies that can't legally employ you on an extension. You can search by role type, location, and employer filing activity to prioritize the most viable opportunities.