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Research Scientist Computer Science Jobs in California

Adobe

Research Scientist

San Jose, CA · On-site

Adobe Research is looking for research scientists in Generative AI to join a world-class research ... D. in Computer Science, AI/ML or related fields • Excellent publication record in Computer ...

Adobe

Research Scientist

San Jose, CA · On-site

They are seeking research scientists in Generative AI to conduct cutting-edge research and develop ... D. in Computer Science, AI/ML or related fields • Excellent publication record in Computer ...

Substrate

Research Scientist, AI

San Francisco, CA · On-site

$150K - $275K/yr

Research Scientist, AI Substrate is addressing one of the most important technological problems ... PhD in Physics, Materials Science, Computer Science, Applied Mathematics, or related field

Skild AI

Research Scientist

San Mateo, CA

PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. * Multiple years of experience in conducting research. * Proficiency in Python and at ...

NTENT

Research Scientist

Carlsbad, CA · On-site

Research Scientist Position: Full time Location: Carlsbad office About Us: NTENT provides a ... Graduate degree (PhD preferred) in Computer Science, Linguistics, Statistics, Computational Social ...

NTENT

Research Scientist

Carlsbad, CA

Research Scientist Position: Full time Location: Carlsbad office About Us: NTENT provides a ... Graduate degree (PhD preferred) in Computer Science, Linguistics, Statistics, Computational Social ...

Chai Discovery, Inc

Research Scientist

San Francisco, CA · On-site

About Chai Discovery Chai is a research lab working on AI to unlock biology. Our models design new ... Our team hails from physics, math, theoretical computer science, computational biology and related ...

Horizon Robotics

Research Scientist

Cupertino, CA · Hybrid

$150K - $300K/yr

The Silicon Valley Research Lab focuses on developing novel algorithms and technologies to allow ... in computer science, machine learning, robotics, or related field, with a broad knowledge of ...

Horizon Robotics

Research Scientist

Cupertino, CA · On-site

$150K - $300K/yr

The Silicon Valley Research Lab focuses on developing novel algorithms and technologies to allow ... in computer science, machine learning, robotics, or related field, with a broad knowledge of ...

AccuScan Sciences

Research Scientist

Milpitas, CA · On-site

POSITION OVERVIEW We are seeking a highly motivated Research Scientist to lead technology research efforts focused on the development of novel genetic and epigenetic molecular assays. This role ...

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All JobsResearch Scientist Computer Science JobsResearch Scientist Computer Science Jobs in California

Research Scientist Computer Science information

See California salary details

$49.8K

$128.4K

$171.7K

How much do research scientist computer science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for research scientist computer science in California is $128,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $170,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Research Scientist in Computer Science, and why are they important?

To thrive as a Research Scientist in Computer Science, you need advanced knowledge of algorithms, data structures, and computational theory, typically supported by a Ph.D. or relevant graduate degree. Proficiency with programming languages (such as Python, C++, or Java), data analysis tools, and version control systems is essential, and experience with machine learning frameworks or high-performance computing can be advantageous. Critical thinking, creativity, and effective communication are vital soft skills for formulating innovative research questions and collaborating across multidisciplinary teams. These skills enable the development of pioneering solutions, clear dissemination of findings, and significant contributions to the advancement of technology.

How do Research Scientists in Computer Science typically collaborate with other professionals on interdisciplinary projects?

Research Scientists in Computer Science often work closely with experts from diverse fields such as data science, engineering, healthcare, or social sciences, depending on the project's focus. Collaboration usually involves joint problem-solving, sharing domain-specific knowledge, and integrating different methodologies to address complex research questions. Communication skills are crucial, as scientists must translate technical concepts for non-technical stakeholders and ensure all team members are aligned on goals and deliverables. Regular meetings, shared documentation, and collaborative software tools are commonly used to facilitate effective teamwork.

What is the difference between Research Scientist Computer Science vs Data Scientist?

AspectResearch Scientist Computer ScienceData Scientist
Required CredentialsAdvanced degrees in CS or related fields, research experienceDegree in CS, statistics, or related fields; data analysis certifications
Work EnvironmentResearch labs, academia, R&D departmentsCorporate offices, tech companies, analytics firms
Employer & Industry UsageUniversities, research institutions, tech companiesBusiness, finance, healthcare, tech industries
Common Search & Comparison IntentUnderstanding research roles in CSData analysis and application roles

Research Scientist Computer Science focuses on advancing knowledge through research, often in academic or R&D settings, requiring strong research credentials. Data Scientist emphasizes analyzing and interpreting data to inform business decisions, typically in industry settings. While both roles require technical skills, their work environments and objectives differ significantly.

What does a Research Scientist in Computer Science do?

A Research Scientist in Computer Science explores new theories, models, and technologies to advance the field. They conduct experiments, analyze data, and publish findings in scientific journals or conferences. Their work often involves collaborating with other researchers, developing prototypes, and contributing to innovations in areas like artificial intelligence, machine learning, cybersecurity, or data science. The goal is to solve complex problems and push the boundaries of what computers and algorithms can achieve.
What are popular job titles related to Research Scientist Computer Science jobs in California? For Research Scientist Computer Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Research Scientist Computer Science jobs in California look for? The top searched job categories for Research Scientist Computer Science jobs in California are:
Research Scientist Computer Science jobs near you

Research Scientist - Computer Vision

Epsilon Health

San Francisco, CA • On-site

Full-time

Posted 21 days ago

Job description

About Us
We're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting-edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product-market fit with a substantial customer pipeline already in place.
Role Overview
We're seeking a Research Scientist with deep expertise in Computer Vision to join our ML team. You'll be at the forefront of developing and deploying state-of-the-art vision models for medical imaging applications. This role focuses on training and scaling vision encoders for radiology diagnosis across multiple modalities including X-rays, CT scans, and MRI. You'll work with one of the largest and most diverse medical imaging datasets in the industry, pushing the boundaries of what's possible in AI-assisted diagnosis while maintaining the rigor required for clinical deployment.
Key Responsibilities
  • Design, train, and scale vision foundation models for radiology applications across X-ray, CT, and MRI modalities, implementing self-supervised / contrastive learning frameworks.
  • Evaluate model performance rigorously across academic benchmarks, internal offline datasets, and live production data.
  • Contribute hands-on to all stages of model development including dataset curation, architecture design, distributed training, and production deployment.
  • Stay current with cutting-edge research in computer vision and medical imaging AI.
  • Drive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical imaging models at scale.
Qualifications
  • 6+ years of academia/industry experience in computer vision/machine learning
  • Deep expertise in training vision encoder models at scale (e.g. ViT, ConvNeXt). Strong foundation in contrastive learning, self-supervised learning, and foundation model pretraining.
  • Track record of implementing complex models from research papers and adapting them to new domains
  • Proficiency in PyTorch or JAX, with experience training models on multi-GPU/distributed systems
  • Hands-on experience with medical imaging applications, particularly radiology (X-ray, CT, MRI)
  • Strong software engineering skills and ability to write production-quality code

Preferred Qualifications
  • Publications at top-tier conferences (CVPR, ICCV/ECCV, NeurIPS, ICLR, MICCAI)
  • Experience with 3D medical image processing and retrieval tasks
  • Knowledge of vision-language models and multimodal learning
  • Experience with model interpretability and explainability methods
  • Understanding of clinical evaluation metrics, clinical workflows, and healthcare data (DICOM, HL7, etc.)

Apply