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Biomedical Machine Learning Jobs in California (NOW HIRING)

Neuralink

Neuroengineer Intern

South San Francisco, CA

$35/hr

Evidence of exceptional ability in neuroscience, machine learning, biomedical engineering, or a related field * 2+ years of academic or industry experience * A strong understanding of the scientific ...

Howard

Research Assistant

Seeley, CA

$24/hr

... biomedical and clinical sources. * Conduct exploratory data analysis , data visualization, and feature engineering. * Develop, train, and evaluate machine learning and deep learning models . * Review ...

Neuralink

Neuroengineer Intern

South San Francisco, CA · On-site

$35/hr

Evidence of exceptional ability in neuroscience, machine learning, biomedical engineering, or a related field * 2+ years of academic or industry experience * A strong understanding of the scientific ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA

$184K - $210K/yr

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA · On-site

$184K - $210K/yr

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing ...

Fullpower Technologies, Inc.

Data Scientist

Santa Cruz, CA · On-site

$130K - $170K/yr

Connect biomedical sensor data with medical, health, and fitness outcomes * Research and development of machine learning algorithms and statistical models for non-invasive sleep tracking * Develop ...

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Biomedical Machine Learning information

What is a Biomedical Machine Learning job?

A Biomedical Machine Learning job involves developing and applying machine learning algorithms to analyze biomedical data for healthcare and research applications. Professionals in this field work with medical imaging, genomics, electronic health records, and wearable device data to improve disease diagnosis, treatment, and patient outcomes. They collaborate with researchers, clinicians, and data scientists to design predictive models and extract insights from complex biological data. This role requires expertise in machine learning, data processing, and domain-specific knowledge in healthcare or life sciences.

What does a typical day look like for someone in a Biomedical Machine Learning role?

A typical day in Biomedical Machine Learning involves cleaning and preparing biomedical datasets, developing or refining machine learning models, running experiments, and interpreting results in collaboration with domain experts such as bioinformaticians and clinicians. Professionals often participate in team meetings to discuss project goals, share insights, and adjust research directions based on feedback. The role may also involve reading scientific literature to stay current with new methodologies and contributing to academic publications or technical documentation. Working closely with both technical and healthcare-focused colleagues, you'll help translate data-driven insights into meaningful biomedical solutions that impact patient care or research outcomes.

What are the key skills and qualifications needed to thrive in the Biomedical Machine Learning position, and why are they important?

To thrive in Biomedical Machine Learning, you need a solid background in statistics, machine learning, programming (Python or R), and a strong understanding of biological or medical data, often supported by advanced degrees in computer science, biomedical engineering, or related fields. Experience with frameworks like TensorFlow, PyTorch, and familiarity with biomedical datasets is highly valued, and certifications in data science or biomedical informatics can be advantageous. Strong analytical thinking, communication skills, and the ability to collaborate with interdisciplinary teams are crucial soft skills. These competencies are vital to developing robust models that address complex healthcare challenges while ensuring scientific rigor and regulatory compliance.

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 Biomedical Machine Learning jobs in California? For Biomedical Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Biomedical Machine Learning jobs in California look for? The top searched job categories for Biomedical Machine Learning jobs in California are:
What cities in California are hiring for Biomedical Machine Learning jobs? Cities in California with the most Biomedical Machine Learning job openings:
Biomedical Machine Learning jobs near you
Infographic showing various Biomedical Machine Learning job openings in California as of June 2026, with employment types broken down into 1% Internship, 4% As Needed, 82% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Neuroengineer Intern

Neuroengineer Intern

Neuralink

South San Francisco, CA

$35/hr

Other

Posted 15 hours ago

Job description

Team Description:

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a variety of neurological disorders and conditions. Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products. As a Neuroengineer Intern on this team, you will contribute across a wide range of projects, from designing novel experimental preparations, to interpreting neural signals and behavioral data, to developing novel BCI paradigms. Successful candidates will be highly adaptable, able to deploy their core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency. 

Job Description and Responsibilities:

  • Investigate and map neural correlates of sensory and internally-generated states.
  • Build and iterate on advanced machine learning architectures to map neural activity to complex, multi-dimensional outputs.
  • Design, execute, interpret, and communicate the results of experiments, ranging from non-human primate (NHP) electrophysiology to human fMRI studies.
  • Present results in a fast-paced, highly collaborative setting.

Required Qualifications: 

  • Evidence of exceptional ability in neuroscience, machine learning, biomedical engineering, or a related field
  • 2+ years of academic or industry experience
  • A strong understanding of the scientific method and engineering first principles
  • Fluency with Python for data analysis

Preferred Qualifications: 

  • Experience with modern machine learning, including LLMs, LLM interpretability, and generative models.
  • Expertise in analyzing neural population dynamics and applying manifold analysis techniques to high-dimensional neural data.
  • Strong background in neural decoding, particularly in the domains of movement or speech.
  • Experience with human fMRI experimental design, execution, and fMRI data analysis.
  • Experience with in-vivo electrophysiology, particularly awake-behaving recordings in non-human primates (NHP), and/or closed-loop brain-computer interfaces.

Pay Transparency:

Based on California law, the following details are for California individuals only.

California Hourly Rate: 
$35/Hr USD

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