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Machine Learning Biomedical Engineer Jobs in Park, VA

Bespoke Labs

Machine Learning Engineer

Harrisonburg, VA · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Varsity Tutors

Machine Learning Tutor

Charlottesville, VA · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Trimedx

Biomedical Technician I

Harrisonburg, VA · On-site

$19.50 - $26/hr

... You enjoy learning new systems and building expertise over time. Why Us We give you real ... engineering environment preferred. If you're ready to grow your technical career while supporting ...

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All JobsMachine Learning Biomedical Engineer JobsMachine Learning Biomedical Engineer Jobs in Park, VA

Machine Learning Biomedical Engineer information

See Park, VA salary details

$31.2K

$127.7K

$191.8K

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

As of Sep 10, 2026, the average yearly pay for machine learning biomedical engineer in Park, VA is $127,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,700.00 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 Park, VA?

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

What cities near Park, VA are hiring for Machine Learning Biomedical Engineer jobs?

Cities near Park, VA 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 Park, VA as of September 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $127,665 per year, or $61.4 per hour.

Machine Learning Engineer

Charlottesville, VA • On-site

TwinThread
Software Development • 1 - 10 employees
Learn more about TwinThreadexternal

Other

Medical, PTO

This job post has expired today. Applications are no longer accepted.

Job description

JOB DESCRIPTION

Your responsibility will be to develop our pipeline for generic statistics and machine learning models (think: event prediction, anomaly detection, machine population analyses). We offer a configuration-free, AutoML-style approach to our customers, which means there are no customer-specific solutions; expect to think of problems at a higher level of abstraction than you might when developing one-off models or analyses.

WHAT YOU'LL NEED:
  • Strong Python or R programming skills
  • Understanding of relational databases
  • 3+ years of experience as a data scientist, machine learning engineer, or similar role
  • Solid understanding of the fundamentals of statistical modeling
  • Software engineering experience preferred
  • Strong time series analysis preferred
  • Patience
  • Creativity, integrity, taste, and a solid work ethic
WHAT YOU'LL GET:
  • Generous pay
  • Cutting edge research opportunities
  • Competitive medical benefits
  • Flexible schedule
  • Regular team lunches
  • Latest Macbook Pro, any other productivity-boosting items
  • Health Insurance
  • Liberal Vacation Policy
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