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Machine Learning Biomedical Engineer Jobs (NOW HIRING)

Msk

Biomedical Engineer

New York, NY · On-site

$124K - $204K/yr

Technical documentation, including service manuals, schematics, and machine generated event logs ... the Biomedical Engineer position at #LI-DNI Pay Range: $124,000.00 - $204,700.00 FSLA Status:

Memorial Sloan

Biomedical Engineer

Manhattan, NY · On-site

$124K - $204K/yr

Technical documentation, including service manuals, schematics, and machine generated event logs ... the Biomedical Engineer position at #LI-DNI Pay Range: $124,000.00 - $204,700.00 FSLA Status:

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 ...

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 ...

Natera

OR

PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics, or a related quantitative discipline with a focus on machine learning or AI * Core experience ...

CoVar

Machine Learning Engineer

Durham, NC

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find ...

Natera

Machine Learning Scientist, Multimodal AI

$124K - $171K/yr

PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics, or a related quantitative discipline with a focus on machine learning or AI * Core experience ...

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All JobsMachine Learning Biomedical Engineer Jobs

Machine Learning Biomedical Engineer information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Aug 4, 2026, the average yearly pay for machine learning biomedical engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 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.
More about Machine Learning Biomedical Engineer jobs
What cities are hiring for Machine Learning Biomedical Engineer jobs? Cities with the most Machine Learning Biomedical Engineer job openings:
What states have the most Machine Learning Biomedical Engineer jobs? States with the most job openings for Machine Learning Biomedical Engineer jobs include:
What job categories do people searching Machine Learning Biomedical Engineer jobs look for? The top searched job categories for Machine Learning Biomedical Engineer jobs are:
Machine Learning Biomedical Engineer jobs near you
Infographic showing various Machine Learning Biomedical Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Principal Engineer, AI and Machine Learning Software

Murata America

Saint Paul, MN • On-site, Remote

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Murata Vios is a global medical device company dedicated to creating a paradigm shift in the way healthcare is delivered. Through the utilization of our internet-of-things medical-grade sensors and virtual patient care services, we plan to lower the cost of healthcare and improve patient outcomes. Murata Vios is seeking qualified individuals who contribute to our vision through sound product development engineering practices and passionate sales and marketing leadership.

Why Consider This Job Opportunity

Murata Vios is looking for a talented and motivated Principal Engineer specializing in AI and Machine Learning (ML). This role combines technical leadership with hands-on development, defining the technical direction for AI/ML technologies. The AI & MI Principal Engineer designs, develops, and deploys innovative algorithms that enhance our medical devices and improve patient outcomes. This position works alongside cross-functional teams to deliver impactful solutions while adhering to regulatory standards.

Workplace Policy

Hybrid from Woodbury, Minnesota

What To Expect (Essential Job Responsibilities)
  • Lead the architecture and design of scalable AI platforms and production of ML systems.
  • Provide technical leadership and mentorship to AI/ML engineers.
  • Lead technical reviews and make key architectural decisions for AI-enabled products.
  • Evaluate and introduce emerging AI technologies that provide competitive advantage.
  • Partner with product management, clinical teams, quality, regulatory affairs, and software engineering to define long-term AI/ML technology strategy and product roadmaps.
  • Collaborate with software engineers to integrate AI/ML models into existing software frameworks and ensure seamless operation of medical device systems.
  • Design and develop machine learning algorithms that analyze medical data (e.g., images, biosignals) to support diagnostic and predictive capabilities.
  • Design, develop, and deploy scalable AI/ML pipelines from research through production, ensuring reproducibility, reliability, and maintainability.
  • Develop and optimize deep learning models for biomedical signal, time-series, and medical image analysis.
  • Evaluate, validate, and optimize models for robustness, interpretability, and regulatory compliance.
Miscellaneous Job Responsibilities
  • Collect, preprocess, and analyze large biomedical datasets, ensuring data integrity and compliance with privacy regulations (e.g., HIPAA).
  • Optimize existing machine learning models for performance, accuracy, and efficiency; conduct testing and validation according to regulatory standards (e.g., ISO 13485).
  • Prepare technical documentation such as design specifications, testing protocols, and user manuals in compliance with medical device regulations.
  • Keep abreast of the latest advancements in AI/ML technologies and best practices as well as regulatory changes pertinent to the medical device industry.
  • Provide ongoing support and enhancements for deployed models and algorithms based on user feedback and performance monitoring.
What Is Required (Qualifications)
  • Ph.D. with 7+ years or Master’s degree with 15+ years of relevant industry experience in computer science, Software Engineering, Machine Learning, Biomedical Engineering, or a related field.
  • Experience developing deep learning models using architectures such as CNNs, RNNs/LSTMs, transformers, and other modern techniques for biomedical signal, time-series, and medical image analysis.
  • Experience with MLOps practices, including experiment tracking, model versioning, CI/CD for machine learning, automated training pipelines, and monitoring model performance in production.
  • Experience deploying AI/ML models using cloud platforms and containerized technologies such as AWS, Azure, Docker, Kubernetes, ONNX, or TensorRT.
  • Knowledge of explainable AI (XAI), model interpretability, AI risk management, and validation practices for regulated healthcare and medical device applications.
  • Experience in digital signal processing (DSP), signal conditioning, feature extraction, time-series analysis, and statistical signal processing. Experience with wavelet analysis and frequency-domain techniques is preferred.
  • Experience with foundation models, large language models (LLMs), retrieval-augmented generation (RAG), or multimodal AI applications is a plus.
  • Proficiency in MATLAB, Linux, Python.
  • Experience with software engineering best practices, including object-oriented design, code reviews, unit and integration testing, version control (Git), and Agile development methodologies.
  • Knowledge of FDA regulations, ISO standards (e.g., ISO 13485), and compliance requirements applicable to medical devices.
  • Excellent problem-solving and communication skills with a strong analytical mindset.
Other

Minimum Salary:  $140,967.00

Maximum Salary:  $160,000.00

Perks
  • Comprehensive benefits package including medical, dental, and vision insurance.
  • Generous Paid Time Off including paid holidays and floating holidays.
  • 401(k) employer match on retirement planning.
  • Hybrid working schedule for eligible positions.
  • Tuition reimbursement on approved programs.
  • Flexible and health spending accounts.
  • Talent Development program.

Create a better life for patients, clinicians, and hospital administrators by joining the Murata Vios team. Murata Vios offers competitive compensation and comprehensive benefits.

Equal Opportunity/Affirmative Action Employer – M/F/Disabilities/Veterans

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