ZipRecruiter

Log In

1

Machine Learning Biomedical Engineer Jobs in Sunnyvale, CA

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 ...

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 ...

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

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

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

About the Role We're seeking a talented Machine Learning Researcher to join our core R&D team. This ... Neuroscience, Mathematics, Biomedical Engineering, etc), with 5-7 years of experience in ML ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

MDT Technical

Machine Learning Engineer

Pleasanton, CA · On-site

Machine Learning Engineer Primary Location : Pleasanton, California V-Soft Consulting is currently hiring for a Machine Learning Engineer for our premier client Pleasanton, California. Knowledge and ...

next page

Showing results 1-20

All JobsMachine Learning Biomedical Engineer JobsMachine Learning Biomedical Engineer Jobs in Sunnyvale, CA

Machine Learning Biomedical Engineer information

See Sunnyvale, CA salary details

$37K

$151.1K

$227.1K

How much do machine learning biomedical engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for machine learning biomedical engineer in Sunnyvale, CA is $151,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $181,900.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

What does a Machine Learning Biomedical Engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

What are the key skills and qualifications needed to thrive as a Machine Learning Biomedical Engineer, and why are they important?

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

How does a Machine Learning Biomedical Engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.
What are popular job titles related to Machine Learning Biomedical Engineer jobs in Sunnyvale, CA? For Machine Learning Biomedical Engineer jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Sunnyvale, CA look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Machine Learning Biomedical Engineer jobs? Cities near Sunnyvale, CA with the most Machine Learning Biomedical Engineer job openings:
Machine Learning Biomedical Engineer jobs near you
Infographic showing various Machine Learning Biomedical Engineer job openings in Sunnyvale, CA as of July 2026, with employment types broken down into 2% Internship, 1% As Needed, 76% Full Time, 20% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $151,130 per year, or $72.7 per hour.

Neuroengineer Intern

Neuralink

South San Francisco, CA

$35/hr

Other

Re-posted 19 days 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

Apply