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Medical Imaging Machine Learning Jobs in Boston, MA

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$161K - $246K/yr

The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global ... Our comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&D ...

Senior Machine Learning Scientist

Boston, MA ยท On-site

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... Medical, Dental, Vision plans * Fitness Programs * Emotional & Mental Wellness support * Learning ...

Senior Algorithm Engineer

Boston, MA ยท On-site +1

$170K - $190K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... medical imaging data, or large time-series datasets, or are enthusiastic about learning more in the ...

Algorithm Engineer

Boston, MA ยท On-site +1

$150K - $170K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... medical imaging data, or large time-series datasets, or are enthusiastic about learning more in the ...

Algorithm Engineer

Boston, MA ยท On-site +1

$150K - $170K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... medical imaging data, or large time-series datasets, or are enthusiastic about learning more in the ...

Showing results 41-60

Medical Imaging Machine Learning information

See Boston, MA salary details

$24.1K

$98K

$206.6K

How much do medical imaging machine learning jobs pay per year?

As of Sep 12, 2026, the average yearly pay for medical imaging machine learning in Boston, MA is $97,982.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,890.00 and $141,306.00 per year, depending on experience, location, and employer.

What is a medical imaging machine learning?

A Medical Imaging Machine Learning job involves developing and applying artificial intelligence (AI) techniques to analyze medical images, such as X-rays, MRIs, and CT scans. Professionals in this field use machine learning models to assist in disease detection, diagnosis, and treatment planning. They work with large medical datasets, optimize deep learning models, and collaborate with radiologists and healthcare professionals to improve diagnostic accuracy and efficiency. The role requires expertise in machine learning, computer vision, and medical imaging technologies.

What are the key skills and qualifications needed to thrive in medical imaging machine learning?

To excel in Medical Imaging Machine Learning, a solid background in computer science, machine learning, and image processing, often supported by an advanced degree (MS or PhD) in a related field, is essential. Experience with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and familiarity with medical imaging standards (like DICOM) are commonly required. Strong analytical thinking, problem-solving abilities, and the ability to communicate complex technical concepts to multidisciplinary teams are highly valued. These competencies enable professionals to develop and implement effective AI solutions that enhance diagnostic accuracy and workflow efficiency in healthcare settings.

What types of teams do medical imaging machine learning professionals typically work with, and how is collaboration structured?

Medical Imaging Machine Learning specialists often collaborate closely with radiologists, data scientists, software engineers, and clinical researchers to develop and refine AI-driven diagnostic tools. The work environment is usually multidisciplinary, involving regular meetings, code reviews, and joint problem-solving sessions to ensure alignment between technical solutions and clinical needs. Team members may also work with regulatory experts to ensure compliance with healthcare standards. This collaborative approach ensures that models are both technically robust and clinically relevant, ultimately supporting better patient outcomes.

What are the most commonly searched types of Medical Imaging Machine Learning jobs in Boston, MA?

The most popular types of Medical Imaging Machine Learning jobs in Boston, MA are:

What are popular job titles related to Medical Imaging Machine Learning jobs in Boston, MA?

For Medical Imaging Machine Learning jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Medical Imaging Machine Learning jobs in Boston, MA look for?

The top searched job categories for Medical Imaging Machine Learning jobs in Boston, MA are:

Infographic showing various Medical Imaging Machine Learning job openings in Boston, MA as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $97,982 per year, or $47.1 per hour.

Senior Machine Learning Engineer

Boston, MA โ€ข On-site

$161K - $246K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Key responsibilities

  • Lead the design and development of machine learning systems for computer vision and perception tasks.

  • Build and maintain perception pipelines that integrate data from cameras and sensors, and optimize models for real-time performance.

  • Design and execute experiments to validate model performance and collaborate with cross-functional teams to deliver production-ready solutions.


Job description

Job Description Overview:

The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global research and development team. This role centers on leading the design and delivery of advanced computer vision and perception systems for our next-generation autonomous platforms.

We are looking for a seasoned engineer who brings deep technical expertise, sound engineering judgment, and a proven track record of delivering production ML systems in complex, real-world environments. The ideal candidate is a mature, self-directed contributor who can drive technical decisions, mentor others, and operate effectively across a collaborative, multidisciplinary team.

Essential Duties and Responsibilities:
  • Lead the design and development of machine learning systems for computer vision and perception tasks.
  • Optimize models for real-time performance on embedded and edge computing platforms.
  • Build and maintain robust perception pipelines that integrate data from cameras and other sensors.
  • Evaluate and implement state-of-the-art techniques in deep learning, object detection, and visual tracking.
  • Drive technical decisions and provide guidance on architecture, tooling, and best practices across the team.
  • Design and execute experiments, including simulation and real-world field testing, to validate model performance.
  • Maintain and improve datasets, pipelines, and tools to support efficient model training and deployment.
  • Collaborate with cross-functional teams, including robotics, systems, and software engineers, to deliver production-ready solutions.
Knowledge and Skills:
  • Proficiency in Python and deep learning frameworks such as PyTorch and/or JAX. Hands-on experience training models such as VLMs, ViTs, and/or CNNs.
  • Familiarity with classical computer vision techniques (e.g., OpenCV).
  • Exceptionally strong problem-solving skills and the ability to lead technical work in a fast-paced, multidisciplinary environment.
  • Understanding of software development best practices, including coding standards, code reviews, source control management, and test automation.
  • Experience with robotics, autonomous systems, or real-time perception applications is strongly preferred.
  • Knowledge of MLOps practices (e.g., model versioning, CI/CD for ML) is a plus.
  • Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required
  • Excellent written and verbal communication skills in English
Required Qualifications: Years of Education
  • Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field.
Work Experience
  • 8+ years of industry experience developing and deploying machine learning models for computer vision or perception applications.
Preferred Qualifications:
  • Experience with camera geometry, 3D reconstruction, or GPU programming (e.g., CUDA, Triton) is a plus.
Working Conditions:
  • Office Only: Works in an office environment in Boston, MA
  • 3 days in office/2 days work from home
  • Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time
  • Travel to Taipei occasionally for team collaboration and project needs
  • Domestic travel approx. 5%. International travel approx. 5%
About the ASUS Robotics & AI Center

The ASUS Robotics and AI Center is a world-class research and development laboratory that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence.

More About ASUS

ASUS is a global technology leader that provides the worldโ€™s most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house &D experts, the company is world-renowned for continuously reimagining todayโ€™s technologies. Consistently ranked as one of Fortuneโ€™s Worldโ€™s Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us.

$161,000 โ€“ $246,000 annually is the estimated pay range for this role working in Boston, MA. The final amount will be determined based on qualifications & experience of the candidate relative to the role. Our comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&D insurance, Paid Time Off, EAP, & 401(k).

ASUS is an equal employment opportunity employer. The Company makes employment decisions without regard to race, color, religion, sex, gender, pregnancy / breastfeeding, medical conditions related to pregnancy or childbirth, sexual orientation, age, national origin or ancestry, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, as well as any other characteristic protected by law, regulation or local ordinance, and strives to comply with all applicable laws on the subject. These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment, pay and other forms of compensation, training and other terms and conditions of employment.

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