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Machine Learning Biomedical Engineer Jobs in Belmont, CA

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 ...

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 ...

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 ...

Machine Learning Engineer

San Francisco, CA · On-site

$118K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning Engineer to design, build, and optimize scalable machine learning models that drive intelligent ...

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

Machine Learning Engineer

San Francisco, CA · On-site

$130 - $180/hr

  • Medical

  • Dental

  • Vision

  • PTO

Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML Platform team builds intelligent systems that power recommendations, forecasting, ranking ...

Machine Learning Engineer

San Mateo, CA · On-site

$100K - $300K/yr

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

Machine Learning Engineer

Cupertino, CA · On-site

$143 - $264/hr

  • Medical

  • Dental

  • Retirement

Description We are seeking an experienced Machine Learning Research Engineer to design and apply state-of-the-art research in machine learning for data-centric problems! Your responsibilities will ...

Machine Learning Engineer

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

  • Medical

  • Dental

  • Retirement

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 ...

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...

The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around ...

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Showing results 21-40

Machine Learning Biomedical Engineer information

See Belmont, CA salary details

$38.1K

$155.7K

$234K

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

As of Aug 18, 2026, the average yearly pay for machine learning biomedical engineer in Belmont, CA is $155,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,800.00 and $187,500.00 per year, depending on experience, location, and employer.

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.

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 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.

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 are popular job titles related to Machine Learning Biomedical Engineer jobs in Belmont, CA?

For Machine Learning Biomedical Engineer jobs in Belmont, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Biomedical Engineer jobs in Belmont, CA look for?

The top searched job categories for Machine Learning Biomedical Engineer jobs in Belmont, CA are:

What cities near Belmont, CA are hiring for Machine Learning Biomedical Engineer jobs?

Cities near Belmont, CA with the most Machine Learning Biomedical Engineer job openings:

Infographic showing various Machine Learning Biomedical Engineer job openings in Belmont, CA as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $155,738 per year, or $74.9 per hour.

Machine Learning Engineer

PROPRIUS

San Francisco, CA

Full-time

Re-posted 5 days ago


Job description

Machine Learning Engineer

Location: San Francisco, CA

Sponsorship: No

Relocation: No

Industry: Machine Learning

Join an artificial intelligence company in San Francisco that excels at visual recognition and is looking for a new ML engineer to join their team. Become part of a collaborative team that tackles research problems through a process of prototyping, implementation, measurement, and iteration. You will implement state-of-the-art deep learning techniques to help develop innovative AI products.

As a ML Engineer, you will:

  • Work with the research team to improve the visual search products
  • Train models with curated data to evaluated and ultimately improve performance
  • Deploy production-ready models to customers
  • Help maintain the machine learning infrastructure

For this role you will need:

  • MS. Degree
  • Experience with Python
  • Computer Vision or NLP experience
  • Experience debugging complex systems.
  • (Kuberentes or Docker experience would be a plus).

This is an amazing opportunity to join a team and work on large projects using powerful computer vision/deep learning technology.

PROPRIUS is an AI Industry recruiting firm. We’re lucky enough to recruit the best candidates into the most exciting companies all over the United States. We deliver performance.