Research Scientist Jobs in California
Research Scientist jobs in California are among the most active in the country, with strong demand from entry-level associates through senior principal scientists concentrated in biotechnology, pharmaceuticals, semiconductor and materials research, and academic medicine. The largest hiring hubs are the San Francisco Bay Area, San Diego, and Los Angeles, where employers such as Genentech, Pfizer, and the University of California system maintain deep, ongoing research workforces. The most in-demand specialties include computational biology, oncology, and AI-driven drug discovery. Find a role that fits below and apply directly.
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Showing 5 of 340+ Research Scientist jobs
Role Mission
As Research Scientist in Speech Technologies, you will lead the research and engineering that makes Hippocratic AI's conversational platform not just intelligent, but genuinely conversational—accurate, fast, and trustworthy in the highest-stakes environments imaginable. You'll define the ASR foundation for healthcare's most advanced conversational AI, ensuring every patient interaction is understood with clinical precision. This role exists because accurate speech recognition in clinical contexts is a frontier problem—no off-the-shelf solution exists, and the work directly determines whether our platform can reliably serve the millions of patients who need it.
What You Will Accomplish
Own your first major outcome: By day 90, you will have shipped measurable improvements to our production ASR system (improved accuracy on medical terminology, reduced latency, or expanded robustness to diverse patient populations), validated performance gains on clinically relevant benchmarks, and established the data infrastructure roadmap that will compound our advantage in medical speech recognition.
Drive lasting impact: At 12 months, you will have designed and deployed a next-generation ASR architecture purpose-built for healthcare, built the large-scale medical speech dataset pipeline that gives Hippocratic AI durable competitive advantage, published your research at tier-1 venues, and directly shaped how millions of patients experience conversational AI through your speech technology innovations.
The Team
You'll lead a team of researchers and engineers building speech technologies that matter. You'll work alongside ML researchers, software engineers, and clinicians from Google, Meta, Microsoft, NVIDIA, and Stanford—as well as health system leaders who keep the work grounded in real clinical needs. This is a culture of rigorous research, rapid iteration, and solving genuinely hard technical problems that have real-world impact.
What You'll Do
Design and develop data-driven ASR models for both streaming and non-streaming conversational speech applications, architecting end-to-end speech recognition systems purpose-built for medical accuracy, latency, and robustness
Research and implement state-of-the-art speech recognition architectures tailored to the medical domain, addressing problems that off-the-shelf ASR cannot solve—medical terminology, diverse patient populations, real-world acoustic conditions
Train, evaluate, and optimize ASR models across accuracy, latency, and resource utilization—balancing clinical precision with production constraints to ensure seamless integration into our platform
Build data infrastructure and curation pipelines for large-scale medical speech datasets, architecting the training foundations that create durable, compounding advantages in clinical speech recognition
Collaborate with LLM, product, and clinical teams to integrate speech technologies into the broader Hippocratic AI platform, translating patient and clinician feedback into research priorities
Contribute to research culture through rigorous experimentation, documentation, publications at tier-1 venues, and knowledge sharing that elevates the team's technical capabilities
Location Requirement
We believe the best ideas happen together. This role is based in our Menlo Park, California office, expected to be five days a week. We're also exploring establishing a presence in the Bellevue area—if that develops, flexibility on location may be available for exceptional candidates.
What You Bring
Must‑Have:
PhD with 3+ years of experience in Speech Recognition or related field or Masters with 5+ years of hands on experience with ASR.
Experience Designing and developing algorithms for accurate and efficient speech recognition for both Streaming and Non-Streaming use cases.
Experience with Training, evaluating, and optimizing ASR models for various factors including accuracy, latency, and resource utilization.
Experience with Preprocessing and curating large speech datasets for training models.
Strong programming skills with working knowledge of Python & C++
Comfort working in a Linux/ Unix command-line environment.
Team player with good communication skills (oral and written)
Nice‑to‑Have
Experience with building 0 to 1 ASR solutions, including setting up data pipelines, SOTA model architectures and evaluation pipelines.
Hands-on Experience with ESPNET, Kaldi and Pytorch.
Experience with CUDA.
Experience with leveraging LLMs for enhanced speech recognition tasks.
Experience with Neural/ E2E Endpointer modeling.
Publications in tier 1 journals in the field of speech recognition/ NLP.
Compensation
Compensation is based on experience, expertise, and level of responsibility. We offer competitive packages that reflect the seniority and scope of the role, along with equity, health insurance, and other benefits.
Why Join Hippocratic AI
Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.
Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.
Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.
Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.
Equal Opportunity
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.
Role Mission
As Research Scientist in Speech Technologies, you will lead the research and engineering that makes Hippocratic AI's conversational platform not just intelligent, but genuinely conversational—accurate, fast, and trustworthy in the highest-stakes environments imaginable. You'll define the ASR foundation for healthcare's most advanced conversational AI, ensuring every patient interaction is understood with clinical precision. This role exists because accurate speech recognition in clinical contexts is a frontier problem—no off-the-shelf solution exists, and the work directly determines whether our platform can reliably serve the millions of patients who need it.
What You Will Accomplish
Own your first major outcome: By day 90, you will have shipped measurable improvements to our production ASR system (improved accuracy on medical terminology, reduced latency, or expanded robustness to diverse patient populations), validated performance gains on clinically relevant benchmarks, and established the data infrastructure roadmap that will compound our advantage in medical speech recognition.
Drive lasting impact: At 12 months, you will have designed and deployed a next-generation ASR architecture purpose-built for healthcare, built the large-scale medical speech dataset pipeline that gives Hippocratic AI durable competitive advantage, published your research at tier-1 venues, and directly shaped how millions of patients experience conversational AI through your speech technology innovations.
The Team
You'll lead a team of researchers and engineers building speech technologies that matter. You'll work alongside ML researchers, software engineers, and clinicians from Google, Meta, Microsoft, NVIDIA, and Stanford—as well as health system leaders who keep the work grounded in real clinical needs. This is a culture of rigorous research, rapid iteration, and solving genuinely hard technical problems that have real-world impact.
What You'll Do
Design and develop data-driven ASR models for both streaming and non-streaming conversational speech applications, architecting end-to-end speech recognition systems purpose-built for medical accuracy, latency, and robustness
Research and implement state-of-the-art speech recognition architectures tailored to the medical domain, addressing problems that off-the-shelf ASR cannot solve—medical terminology, diverse patient populations, real-world acoustic conditions
Train, evaluate, and optimize ASR models across accuracy, latency, and resource utilization—balancing clinical precision with production constraints to ensure seamless integration into our platform
Build data infrastructure and curation pipelines for large-scale medical speech datasets, architecting the training foundations that create durable, compounding advantages in clinical speech recognition
Collaborate with LLM, product, and clinical teams to integrate speech technologies into the broader Hippocratic AI platform, translating patient and clinician feedback into research priorities
Contribute to research culture through rigorous experimentation, documentation, publications at tier-1 venues, and knowledge sharing that elevates the team's technical capabilities
Location Requirement
We believe the best ideas happen together. This role is based in our Menlo Park, California office, expected to be five days a week. We're also exploring establishing a presence in the Bellevue area—if that develops, flexibility on location may be available for exceptional candidates.
What You Bring
Must‑Have:
PhD with 3+ years of experience in Speech Recognition or related field or Masters with 5+ years of hands on experience with ASR.
Experience Designing and developing algorithms for accurate and efficient speech recognition for both Streaming and Non-Streaming use cases.
Experience with Training, evaluating, and optimizing ASR models for various factors including accuracy, latency, and resource utilization.
Experience with Preprocessing and curating large speech datasets for training models.
Strong programming skills with working knowledge of Python & C++
Comfort working in a Linux/ Unix command-line environment.
Team player with good communication skills (oral and written)
Nice‑to‑Have
Experience with building 0 to 1 ASR solutions, including setting up data pipelines, SOTA model architectures and evaluation pipelines.
Hands-on Experience with ESPNET, Kaldi and Pytorch.
Experience with CUDA.
Experience with leveraging LLMs for enhanced speech recognition tasks.
Experience with Neural/ E2E Endpointer modeling.
Publications in tier 1 journals in the field of speech recognition/ NLP.
Compensation
Compensation is based on experience, expertise, and level of responsibility. We offer competitive packages that reflect the seniority and scope of the role, along with equity, health insurance, and other benefits.
Why Join Hippocratic AI
Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.
Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.
Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.
Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.
Equal Opportunity
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.
See All 340+ Research Scientist Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Research Scientist JobsResearch Scientist Jobs by City in California
Where California roles are concentrated, by current openings.
Research Scientist Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- TikTok36
- ByteDance32
- Google21
- Meta13
- Apple13
Top Industries Hiring
- Technology & Software72
- Science & Research31
- Artificial Intelligence18
- Electronics & Hardware15
- Biotechnology & Pharmaceuticals11
What California Employers Look For
The qualifications that appear most often in research scientist jobs across California.
- Ph.D. in a relevant scientific discipline such as biology, chemistry, or biomedical engineering
- Demonstrated record of peer-reviewed publication in a field aligned with the research program
- Hands-on experience with laboratory techniques specific to the role such as CRISPR, proteomics, or cell culture
- Proficiency with statistical or computational tools including Python, R, or specialized bioinformatics pipelines
- Experience presenting research findings to cross-functional teams or at scientific conferences
- Ability to design and independently execute multi-stage experimental protocols with minimal supervision
Research Scientist Jobs in California: Frequently Asked Questions
How do you become a research scientist in California?
Most research scientist roles in California require a Ph.D. in a relevant field such as biochemistry, chemistry, or a life science, though some industry positions accept a master's degree combined with substantial laboratory experience. California does not issue a state license specifically for research scientists, but roles in clinical research may require IRB familiarity, and those supporting medical devices or diagnostics must understand FDA regulatory frameworks. Postdoctoral training is a common bridge into permanent positions at California biotech and pharma employers.
Which companies hire research scientists in California?
Employers hiring research scientists in California right now include TikTok, ByteDance, and Google, based on current listings on Migrate Mate as of August 2026. California's density of biotechnology headquarters, major research universities, and national laboratories makes it one of the few states where research scientist openings appear consistently across both large corporations and well-funded startups.
Which California cities have the most research scientist jobs?
The cities with the most research scientist openings in California are San Jose, San Francisco, and Mountain View. The San Francisco Bay Area and San Diego lead because of their deep concentrations of biotechnology and pharmaceutical headquarters, while Los Angeles draws demand from its academic medical centers, aerospace research institutions, and growing life sciences corridor anchored by the University of California Los Angeles and nearby industry campuses.
Are there remote research scientist jobs in California?
Yes, but they're rare. Most research scientist work requires access to laboratory equipment, specialized instrumentation, or physical samples that cannot be replicated at home. About 36% of research scientist openings tied to California are remote or hybrid as of August 2026, and those that are tend to be computational, bioinformatics, or data-analysis-focused roles that do not depend on bench work.
How can I get hired as a research scientist in California with little or no experience?
The most realistic entry path is a postdoctoral fellowship, and California institutions such as UC San Francisco, UC San Diego, the Salk Institute, and the Lawrence Berkeley National Laboratory run structured postdoc programs that feed directly into industry roles. Candidates without a Ph.D. can target associate scientist or research associate titles, which are common at Bay Area and San Diego biotechs. A strong publication record or a computational skill such as bioinformatics or machine learning modeling can substitute for years of bench experience in certain hiring cycles.
Where can I find and apply to research scientist jobs in California?
You can find and apply to research scientist jobs in California on Migrate Mate, which lists current California openings from employers actively hiring in the state. Find roles that fit your background and apply directly to the ones that match.
See All 340+ Research Scientist Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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