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Machine Learning Biomedical Engineer Jobs in Seattle, WA

Apple

AIML - Machine Learning Engineer, MIND

Seattle, WA

$139.50K - $258.10K/yr

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the ...

Microsoft

Principal Machine Learning Engineer

Redmond, WA · On-site

$188K - $304.20K/yr

We are seeking a Principal Machine Learning Engineer to accelerate our training of generative models in close collaboration with Maching Learning (ML) researchers, software engineers, and domain ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

Chewy

Senior Machine Learning Engineer

Bellevue, WA · On-site

$149K - $245K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

Chewy

Staff Machine Learning Engineer

Bellevue, WA

$186.50K - $297.50K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Staff Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

Chewy

Senior Machine Learning Engineer

Bellevue, WA · On-site +1

$149K - $245K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

Chewy

Staff Machine Learning Engineer

Bellevue, WA · On-site

$186.50K - $297.50K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Staff Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

Adobe

Senior Machine Learning Engineer

Seattle, WA

$172.50K - $306.63K/yr

What You'll Do As a Senior Machine Learning Engineer on the Content Intelligence team, you will lead the development of ML models and systems, to assist with Content Understanding. You will work ...

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All JobsMachine Learning Biomedical Engineer JobsMachine Learning Biomedical Engineer Jobs in Seattle, WA

Machine Learning Biomedical Engineer information

See Seattle, WA salary details

$35.8K

$146.5K

$220.2K

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

As of May 31, 2026, the average yearly pay for machine learning biomedical engineer in Seattle, WA is $146,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $176,400.00 per year, depending on experience, location, and employer.

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 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 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 Seattle, WA? For Machine Learning Biomedical Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Seattle, WA look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Machine Learning Biomedical Engineer jobs? Cities near Seattle, WA with the most Machine Learning Biomedical Engineer job openings:
Machine Learning Biomedical Engineer jobs near you

Applied Machine Learning Intern

WaveWorks Technologies Inc

Seattle, WA • On-site

Full-time

Posted 4 days ago

Job description

Salary:

Applied Machine Learning Intern

WaveWorks is building applied AI systems for real-world industrial environments. We are seeking a hands-on Applied Machine Learning Intern to work directly on live deployment data, develop modeling approaches, and take ownership of analysis for an active site.


RESPONSIBILITIES

  • Process, clean, and structure large-scale audio/time-series datasets
  • Align data with ground truth and validate data quality
  • Develop and evaluate modeling approaches for predictive maintenance
  • Design and run structured experiments, analyze results, and document findings
  • Improve data workflows and evaluation pipelines


REQUIRED QUALIFICATIONS

  • Pursuing a degree in Computer Science, Electrical Engineering, Data Science, or related field
  • Strong Python skills
  • Experience with ML frameworks (PyTorch, TensorFlow, or scikit-learn)
  • Comfortable working with real-world, noisy datasets
  • Strong analytical and documentation skills


PREFERRED QUALIFICATIONS

  • MS or PhD candidate in a relevant technical field
  • Experience with audio processing or time-series feature engineering
  • Familiarity with anomaly detection
  • Exposure to signal processing concepts (FFT, spectrograms, filtering)
  • Experience designing and evaluating structured ML experiments
  • Self-driven and comfortable operating in an early-stage environment



WaveWorks is committed to a friendly and welcoming working environment. WaveWorks does not discriminate based on race, gender, age, religious affiliation, or any other legally protected status.

WaveWorks is located in downtown Seattle, Washington.