Artificial Intelligence Scientist Jobs
Artificial Intelligence Scientist jobs are open across technology, healthcare, finance, defense, and research institutions, from junior researcher to principal scientist and research director, with specializations in machine learning, natural language processing, and computer vision. Find a role that fits from the openings below and apply directly.
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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
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
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Find JobsArtificial Intelligence Scientist Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Amazon191
- TikTok62
- Apple45
- Walmart40
- Capital One30
Top Industries Hiring
- Technology & Software491
- Consulting & Professional Services87
- Retail67
- Banking & Financial Services64
- Electronics & Hardware63
What Employers Look For
The qualifications that appear most often in artificial intelligence scientist jobs.
- PhD in computer science, machine learning, statistics, or a closely related field
- Deep expertise in PyTorch or TensorFlow for designing and training large-scale models
- Experience publishing research at peer-reviewed venues such as NeurIPS, ICML, or CVPR
- Strong Python programming skills with proficiency in scientific computing libraries
- Hands-on experience with large language models, diffusion models, or reinforcement learning
- Ability to translate research findings into production-ready systems or product features
Tips for Your Artificial Intelligence Scientist Job Search
Tailor your resume to research output
Hiring managers for artificial intelligence scientist roles weigh publications, patents, and model benchmarks heavily. List each paper's venue and any citations it has received. If you have open-source contributions, include repository stars or adoption metrics to show real-world impact.
Showcase reproducible, documented experiments
Attach a public GitHub or equivalent repository to every project you list. Artificial intelligence scientist roles require you to demonstrate not just that something worked, but that your methodology is rigorous and others can verify it. Undocumented experiments rarely move hiring committees forward.
Apply early to roles that fit
Migrate Mate lists artificial intelligence scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by research focus area
Job titles overlap heavily in this field. Read the responsibilities section carefully to distinguish applied research from foundational work. A role titled the same can mean building production pipelines at one company and publishing novel architectures at another. Target postings that match your actual research depth.
Prepare a research presentation, not just answers
Most artificial intelligence scientist interviews include a technical talk on your own work. Practice delivering a 20-minute version that explains your problem framing, experimental design, and failure modes clearly to a mixed audience of researchers and engineers. Panels will probe your assumptions.
Negotiate scope and compute access, not just pay
When you reach the offer stage, ask specifically about GPU and cloud compute budgets, publication rights, and access to proprietary datasets. These factors directly determine what research you can pursue and carry more long-term weight than many other offer terms.
Artificial Intelligence Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most artificial intelligence scientists?
The companies hiring the most artificial intelligence scientists right now include Amazon, TikTok, and Apple, with the largest share of openings in California, Washington, and New York, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in technology and defense but continues to grow in healthcare and financial services.
How many artificial intelligence scientist jobs are remote?
About 26% of artificial intelligence scientist openings are fully remote or hybrid as of June 2026, making it one of the more flexible roles in the technology sector. Research-heavy positions at universities and national labs tend to require on-site presence, while applied roles at software companies are more likely to support remote arrangements.
How do you become an artificial intelligence scientist?
You typically start by completing a bachelor's degree in computer science, mathematics, or a related field, then pursue a master's or PhD with a research focus in machine learning or a related subfield. Building a record of published or publicly documented work strengthens your candidacy substantially. Internships at research labs during graduate school are among the most direct paths into full-time roles.
Can you get an artificial intelligence scientist job with little experience?
Yes, though it requires demonstrating research potential through other signals when formal experience is limited. Strong thesis work, open-source model contributions, or a competitive placement in an established research program can substitute for years of industry experience in entry-level and junior roles. Some teams also hire research engineers as a stepping stone into full scientist positions.
What does the artificial intelligence scientist interview process look like?
The process typically moves through an initial recruiter screen, a technical phone or video interview focused on machine learning fundamentals, a research presentation where you walk through a project in depth, and a full-day on-site or virtual loop with a mix of research scientists and engineers. Final rounds often include a system design component and a conversation with a research director or hiring committee.
Where can I find and apply to artificial intelligence scientist jobs?
You can find and apply to artificial intelligence scientist jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your research background and specialization, then apply directly to each one that fits.
See All 1,345+ Artificial Intelligence Scientist Jobs
Jump back to the full list of openings and apply to any artificial intelligence scientist role that fits.
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