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Machine Learning Biomedical Engineer Jobs in Boston, MA

Whoop

Senior Signal Processing Engineer

Boston, MA · On-site

$150K - $215K/yr

... machine learning-based solutions. Requirements: Master's degree in Computer Science, Applied Mathematics, Electrical Engineering, Biomedical Engineering, or related field (or foreign degree ...

Whoop

Senior Signal Processing Engineer

Boston, MA · On-site

$150K - $215K/yr

... machine learning-based solutions. Requirements: Master's degree in Computer Science, Applied Mathematics, Electrical Engineering, Biomedical Engineering, or related field (or foreign degree ...

Whoop

Senior Signal Processing Engineer

Boston, MA

$150K - $215K/yr

... machine learning-based solutions. Requirements: Master's degree in Computer Science, Applied Mathematics, Electrical Engineering, Biomedical Engineering, or related field (or foreign degree ...

Remark

Machine Learning Engineer

Boston, MA

What We're Looking For As a Machine Learning Engineer working on Remark's core platform, you will be responsible for planning, implementing, and testing features that change the way consumers buy ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

Chewy

Machine Learning Engineer III

Boston, MA · On-site

$175K - $249K/yr

Machine Learning Engineer I II Boston, MA - Merchandising - Full time - R29868 What you'll do: * Design and implement cloud architectures tailored for end-to-end machine learning workflows (including ...

Autodesk

Senior Machine Learning Engineer

Boston, MA · On-site +1

$113K - $155K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and evolving machine learning systems that support conversational AI, search, multi-agent ...

Chewy

Machine Learning Engineer III

Boston, MA · On-site +1

$175K - $249K/yr

Machine Learning Engineer I II Boston, MA - Merchandising - Full time - R29868 What you'll do: * Design and implement cloud architectures tailored for end-to-end machine learning workflows (including ...

DraftKings

Senior Machine Learning Engineer

Boston, MA · On-site

$113K - $155K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll join a team of algorithm experts and data science technologists building innovative data products that solve analytically complex ...

DeepRec.ai

Machine Learning Engineer (LLM)

Boston, MA · On-site

$170K - $200K/yr

Machine Learning Engineer (LLM) Compensation: $170,000 - $200,000+ (DOE) Location: Boston or Berkeley, flexible 2-3 days per week in office We're working a fast‑growing AI company on a mission to ...

GN Group

Machine Learning Engineer - Edge

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and candidates must reside within a commutable distance of one of our offices in either Dover, NH, or Lowell ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

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All JobsMachine Learning Biomedical Engineer JobsMachine Learning Biomedical Engineer Jobs in Boston, MA

Machine Learning Biomedical Engineer information

See Boston, MA salary details

$34.2K

$139.9K

$210.2K

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

As of Jun 18, 2026, the average yearly pay for machine learning biomedical engineer in Boston, MA is $139,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $168,400.00 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 Boston, MA? For Machine Learning Biomedical Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Boston, MA look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Boston, MA are:
Machine Learning Biomedical Engineer jobs near you
Senior Signal Processing Engineer

Senior Signal Processing Engineer

Whoop

Boston, MA • On-site

$150K - $215K/yr

Full-time

Posted 12 days ago

Job description

Senior Signal Processing Engineer
Boston, MA
Duties:
Whoop, Inc. seeks a Senior Signal Processing Engineer (Boston, MA) to design and implement
algorithms to extract physiological information from noisy biosensor data and optimize on-
device computation. Partner with Firmware and Data Science teams to deploy artificial
intelligence and machine learning models on edge devices. Optimize models for real-time
inference on edge devices, including analysis and improvement of battery consumption patterns.
Collaborate with the Signal Processing team to develop algorithms that personalize calculations
based on member data. Research and design innovative algorithms to improve performance
under edge-computation constraints. Contribute to software development, debugging, and
validation to ensure production-ready code and reliable results. Build, train, and test machine
learning models for large-scale data processing on edge devices. Collaborate with Product
Managers to translate member needs into machine learning-based solutions.
Requirements:
Master's degree in Computer Science, Applied Mathematics, Electrical Engineering, Biomedical
Engineering, or related field (or foreign degree equivalent) and at least 4 years of experience
with signal processing and/or machine learning. At least 4 years of experience developing and
implementing AI solutions for real-time processing on edge devices; At least 4 years of
experience collaborating with cross-functional teams to understand requirements and design
efficient edge computing solutions; At least 4 years of experience with biosensor systems and
analyzing biomedical data; At least 4 years of experience with signal and image processing
applications (C, C++, Python or MATLAB); At least 4 years of experience with ML libraries
such as scikit-learn, Tensorflow, PyTorch or Keras; At least 4 years of experience with statistical
method and design of clinical studies; At least 4 years of experience with code and battery
optimization on the edge; At least 4 years of experience adapting to changing requirements while
producing high quality reports under tight deadlines. Full-time position.
Salary: $150,000 - $215,000/year
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About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

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