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Contract Biomedical Machine Learning Jobs in California

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

  • Medical

D.) in computer science or a related field-such as artificial intelligence, computational neuroscience, or biomedical engineering-and at least three years of experience in machine learning research ...

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two ... Experience working with clinical, biomedical, or other regulated datasets Why Join Latent Health

Machine Learning Engineer

Pleasanton, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Position starts off as a 6 month contract Machine Learning Engineer Location: Pleasanton, California (Remote) Role Overview This role is focused on developing, deploying, and optimizing machine ...

New

Contract * W2 position * Work Location: Hybrid type of work in Pleasanton CA. Proficiency in ... Expertise in Python, R, and SQL is required, as well as familiarity with machine learning ...

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140 - $170/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems * Design, train and evaluate machine learning models using large ...

Machine Learning Engineer

Los Angeles, CA · On-site

$150 - $180/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

## Machine Learning EngineerApplylocations: Los Angeles, CAtime type: Full timeposted on: Posted ... by government contract.## Travel RequirementsNone## Relocation ProvidedNone## Position ...

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems * Design, train and evaluate machine learning models using large ...

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Contract Biomedical Machine Learning information

What is the difference between Contract Biomedical Machine Learning vs Contract Data Scientist?

AspectContract Biomedical Machine LearningContract Data Scientist
CredentialsBackground in biomedical engineering, machine learning, data analysisBackground in statistics, computer science, data analysis
Work EnvironmentHealthcare, biotech, research labsTech companies, finance, consulting firms
Industry UsageMedical device development, clinical researchBusiness analytics, product development

Contract Biomedical Machine Learning specialists focus on applying machine learning techniques to biomedical data within healthcare and biotech settings. In contrast, Contract Data Scientists work across various industries analyzing data to inform business decisions. While both roles require data analysis skills, Contract Biomedical Machine Learning emphasizes biomedical knowledge and healthcare applications.

What are the most commonly searched types of Biomedical Machine Learning jobs in California? The most popular types of Biomedical Machine Learning jobs in California are:
What are popular job titles related to Contract Biomedical Machine Learning jobs in California? For Contract Biomedical Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Contract Biomedical Machine Learning jobs in California look for? The top searched job categories for Contract Biomedical Machine Learning jobs in California are:
What cities in California are hiring for Contract Biomedical Machine Learning jobs? Cities in California with the most Contract Biomedical Machine Learning job openings:
Infographic showing various Contract Biomedical Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Researcher

Alljoined

San Francisco, CA • On-site

$140K - $250K/yr

Full-time

Medical

Re-posted 8 days ago


Job description

About Alljoined
Alljoined is creating a future where humans are fully understood and augmented by technology. Our work solves the communication bottleneck between humans and computers by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale neural datasets to decode internal thought directly. By advancing the frontier of neural decoding, we aim to unlock meaningful breakthroughs in human wellness and capability.
About the Role
We are looking for a talented Machine Learning Researcher to join our core R&D team. You will design and implement advanced machine learning models for EEG-based neural decoding, contribute to high-impact research, and help build the foundational infrastructure behind our brain-decoding systems.
You will work closely with leading experts in neural decoding and AI to push the boundaries of what is possible in brain-computer interfaces. This role sits at the intersection of ambitious research and rigorous engineering: you will explore novel modeling approaches while translating promising ideas into reliable, production-quality systems.
What You'll Work On
  • Develop, train, and refine state-of-the-art deep learning models for neural decoding, drawing on recent advances in architectures such as transformers and diffusion models.
  • Explore novel methods for modeling high-frequency, time-series EEG data alongside several adjacent data modalities.
  • Translate research insights into production-grade code that integrates seamlessly with our in-house BCI stack.
  • Collaborate with neuroscientists and machine learning engineers to build scalable, end-to-end neural-decoding systems.
  • Publish findings at leading machine learning and AI conferences, including NeurIPS, ICML, ICLR, and CVPR.
  • Contribute to open-source communities where appropriate.
You May Be a Good Fit If You Have
  • A bachelor's degree in computer science or a related field-such as artificial intelligence, computational neuroscience, mathematics, or biomedical engineering-and five to seven years of experience in machine learning research or applied machine learning engineering; or
  • A graduate degree (M.S. or Ph.D.) in computer science or a related field-such as artificial intelligence, computational neuroscience, or biomedical engineering-and at least three years of experience in machine learning research or applied machine learning engineering.
  • A track record of high-quality research, demonstrated through publications at leading machine learning conferences or in respected journals, including NeurIPS, ICML, ICLR, or CVPR.
  • Strong proficiency in Python and PyTorch, along with familiarity with modern machine learning tooling and distributed training.
  • Experience contributing to a production-quality codebase with modern code-review standards.

Candidates with a Ph.D. and/or experience working in a high-profile machine learning research lab are strongly preferred.
Areas of Relevant Expertise
We are particularly interested in candidates with experience in one or more of the following areas:
  • Multimodal representation learning: CLIP-style contrastive objectives and masked autoencoding.
  • Generative modeling: Diffusion models, transformer decoders, and latent GANs.
  • Temporal sequence modeling: State-space models, STFT-aware transformers, and RWKV.

Compensation Range
$140,000 - $250,000/year + equity
While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range.
Benefits
  • Options for housing support
  • Visa sponsorship
  • Health insurance