ZipRecruiter

Log In

1

Machine Learning Biomedical Engineer Jobs in Bellflower, CA

Masimo Wearables

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$110K - $152K/yr

Masimo Wearables is seeking a Senior Engineer, AI/Machine Learning to join their R&D team focused ... The role involves designing and developing AI and ML models for biomedical applications ...

MiniMed

Biomedical Engineer II

Los Angeles, CA · On-site

Designs, develops, and evaluates electrochemical CGM, learning and applying foundational electrochemical and biomedical engineering principles to inform design decisions and understand how design ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA

$140K - $170K/yr

Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ... D. degree in Electrical Engineering, Biomedical Engineering, or a related field required ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ... D. degree in Electrical Engineering, Biomedical Engineering, or a related field required ...

MiniMed

Principal Biomedical Engineer

Los Angeles, CA · On-site

... in this role will apply machine learning tools to improve upon current process monitoring ... This Principal Biomedical Engineer will partner cross functionally to highlight insights from real ...

Machina Labs

Machine Learning Engineer

Los Angeles, CA

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis. Responsibilities : • ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Experience in applying AI/ML to biomedical data * Experience with computer vision and/or robotics

Masimo

Engineer II, AI/Machine Learning

Irvine, CA

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Experience in applying AI/ML to biomedical data * Experience with computer vision and/or robotics

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems that automate Design for Manufacturing analysis, leveraging deep learning and computer vision ...

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end. What You'll Do: * Research, develop and deploy cutting-edge deep learning ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python and PyTorch or TensorFlow experience * Must be a U.S. citizen with the ability to obtain necessary ...

next page

Showing results 1-20

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

Machine Learning Biomedical Engineer information

See Bellflower, CA salary details

$32.9K

$134.6K

$202.2K

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

As of Jul 20, 2026, the average yearly pay for machine learning biomedical engineer in Bellflower, CA is $134,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $162,000.00 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 Bellflower, CA? For Machine Learning Biomedical Engineer jobs in Bellflower, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Bellflower, CA look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Bellflower, CA are:
What cities near Bellflower, CA are hiring for Machine Learning Biomedical Engineer jobs? Cities near Bellflower, CA with the most Machine Learning Biomedical Engineer job openings:
Machine Learning Biomedical Engineer jobs near you

Sr Engineer, AI/Machine Learning

Masimo Wearables

Irvine, CA • On-site

$110K - $152K/yr

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Masimo Wearables is seeking a Senior Engineer, AI/Machine Learning to join their R&D team focused on next-generation health monitoring devices. The role involves designing and developing AI and ML models for biomedical applications, collaborating with cross-functional teams, and analyzing data for critical medical insights.
Responsibilities:
• Design and develop AI and ML models to solve complex problems
• Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar software
• Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems
• Design, train and evaluate machine learning models using large datasets in the cloud
• Prototype new ideas/technologies to create proof of concept and demos
• Contribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideas
• Work with cross-functional teams in the R&D group, including hardware and software engineers
• Effectively communicate with engineering and marketing teams
• Design clinical studies to collect physiological data from human subjects, perform data collection and analysis of physiological data
• Carry out statistical analysis of clinical data
• Implement physiological parameter measurement algorithms on embedded systems
• Deliver high quality software design, documentation and implementation
• Performs other duties as assigned
Qualifications:
Required:
• At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning techniques, optimization methods, and numerical modeling within the medical device industry
• Algorithm development experience using machine learning techniques such as regression, classification, clustering, etc., and deep learning techniques using neural networks, CNN, RNN, etc.
• Expertise in data analysis and data mining
• Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc.
• Strong programming skills in MATLAB/Python/C/C++ and exposure to software engineering methods
• Familiarity with DSP architecture and embedded systems
• Exposure to DSP Programming
• Excellent conceptual, analytical, and problem-solving abilities
• Ability to excel in a fast-paced and dynamic work environment
• Excellent verbal and written communication skills
• M.S. or Ph.D. degree in Electrical Engineering, Biomedical Engineering, or a related field required
Preferred:
• Understanding of human physiology and exposure to designing clinical protocols are preferred
• Prior experience in application of AI/ML and signal processing techniques tools to bio-medical signals is a plus
Company:
The Masimo Freedom™ smartwatch empowers individuals to take control of their personal health through accurate and continuous health tracking. Founded in , the company is headquartered in , , with a team of 10001+ employees. The company is currently Late Stage.

Apply