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Machine Learning Biomedical Engineer Jobs in Boston, MA

Harvard University

Machine Learning Engineer

Boston, MA · On-site

You'll be at the heart of biomedical discovery, education, and innovation, working alongside world ... Machine Learning Engineer with advanced expertise to lead development of large language models ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site +1

You'll be at the heart of biomedical discovery, education, and innovation, working alongside world ... Machine Learning Engineer with advanced expertise to lead development of large language models ...

Draper

Senior Machine Learning Engineer

Cambridge, MA · On-site +1

$82K - $220K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the ... Summary: The Machine Learning Engineer (SMTS) designs and implements machine learning (ML ...

New

IMC Inc

Machine Learning Engineer

Dorchester, MA

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Chewy

Machine Learning Engineer II

Boston, MA · On-site +1

$161K/yr

Machine Learning Engineer II Boston, MA - Marketing Operations - Full time - R29931 What you'll do: * Apply artificial intelligence and/or machine learning methods to design, test and scale effective ...

Chewy

Machine Learning Engineer II

Boston, MA · On-site

$161K/yr

Machine Learning Engineer II Boston, MA - Marketing Operations - Full time - R29931 What you'll do: * Apply artificial intelligence and/or machine learning methods to design, test and scale effective ...

Nucs AI

Machine Learning Scientist

Berlin, MA · On-site +1

PhD in machine learning, computer vision, medical image analysis, biomedical engineering, or related field * Strong publication record in relevant venues (medical imaging, clinical ML, computer ...

SynergisticIT

Machine Learning Engineer

Boston, MA

Work with an international top-notch engineering team with full commitment on Machine Learning development. Required Candidate Profile Skills Required * Passionate about search and AI technologies.

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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 Engineer, Machine Learning

Senior Engineer, Machine Learning

Analog Devices

Wilmington, MA • On-site

$114K - $156K/yr

Full-time

Posted 25 days ago

Analog Devices rating

8.5

Company rating: 8.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

19th of 139 rated electronics manufacturers

Job description

Job Summary:
Analog Devices is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. They are seeking a Senior Engineer in Machine Learning to work with biomedical data, develop novel algorithms, and support hardware and software teams with algorithmic solutions.
Responsibilities:
• Work with biomedical, unstandardized data from collection to downstream tasks (clustering/classification).
• Quickly prototype solutions and proof of concepts for uncharted application domains where solutions might exist in the literature.
• If potential is identified, communicate with domain experts and stay abreast of the state of the art to develop novel algorithms that provide a market edge.
• Apply strong understanding of signal processing and machine learning models to develop solutions from literature or novel approaches to meet performance measures.
• Support hardware and software teams with algorithmic solutions to ensure data quality measurement, comparison, and improvement.
Qualifications:
Required:
• PhD in Electrical Engineering, Mathematics, Computer Science or a relevant field
• Strong machine learning background.
• Excellent abilities in mathematics and algorithm development.
• Fundamental knowledge of modeling and quick prototyping skills.
• Proficiency in Python.
• Familiarity with C++, C.
• Interdisciplinary team collaboration experience is preferred.
Company:
Analog Devices (NYSE: ADI) defines innovation and excellence in signal processing. ADI's analog, mixed-signal, and digital signal Founded in 1965, the company is headquartered in Norwood, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Analog Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Analog Devices logo

About Analog Devices

Sourced by ZipRecruiter

Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Norwood, MA, US

Year founded

1965

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