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Machine Learning Biomedical Engineer Jobs in Massachusetts

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications: * Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or ...

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 ...

Base pay range $130,000.00/yr - $215,000.00/yr Direct message the job poster from Alsym Energy Alsym Energy is seeking a Machine Learning Scientist or Engineer to design, build, and deploy agentic AI ...

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Showing results 41-60

Machine Learning Biomedical Engineer information

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 Massachusetts?

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

What cities in Massachusetts are hiring for Machine Learning Biomedical Engineer jobs?

Cities in Massachusetts with the most Machine Learning Biomedical Engineer job openings:

Machine Learning Engineer - Hybrid

Boston, MA • On-site

XPO
Import-Export • 10K+ employees

$100K - $120K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 18 days ago


XPO rating

6.9

Company rating: 6.9 out of 10

Based on 227 frontline employees who took The Breakroom Quiz

232nd of 365 rated logistics


Job description

What you’ll need to succeed as a Machine Learning Engineer at XPO

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience
  • 1 year of experience in software or machine learning engineering, including hands-on experience building data pipelines, ML infrastructure, or MLOps tooling
  • Experience developing data preparation, validation, or quality-checking tooling for machine learning pipelines
  • Proficiency in Python and SQL
  • Experience with cloud data or ML platforms (e.g., AWS, GCP, BigQuery)
  • Strong collaboration skills, with experience partnering with data science/applied science teams and data engineering teams

Preferred qualifications:

  • Master's degree in Computer Science or related field
  • 3+ years of experience building ML infrastructure for training, evaluation, and deployment at scale
  • Experience building and maintaining CI/CD pipelines for machine learning models
  • Experience with model serving and inference infrastructure (batch and real-time)
  • Experience implementing model monitoring, drift detection, and feedback-loop tooling
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Experience partnering with data engineering teams on data pipeline reliability and access

 

About the Machine Learning Engineer job

Pay, benefits and more:

  • Competitive compensation package 
  • Full health insurance benefits available on day one 
  • Life and disability insurance 
  • Earn up to 15 days of PTO over your first year  
  • 9 paid company holidays 
  • 401(k) option with company match 
  • Education assistance 
  • Opportunity to participate in a company incentive plan

What you’ll do on a typical day:

  • Build and maintain data preparation and validation tooling to ensure high-quality inputs for ML and optimization models
  • Design and implement ML infrastructure for model training, evaluation, and deployment
  • Build and maintain CI/CD pipelines for machine learning models, including automated testing and validation
  • Implement model monitoring, drift detection, and feedback loops to track model performance in production
  • Partner with applied and data scientists to productionize models and streamline the path from experimentation to deployment
  • Collaborate with data engineering teams to ensure reliable, accessible data pipelines
  • Contribute to shared MLOps tooling and best practices across the AI/ML organization

Annual Salary Range: $100,000 to $120,000 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans.

About XPO

XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO. 

We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. 

The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. 

Review XPO's candidate privacy statement here.


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About XPO

Sourced by ZipRecruiter

Founded in Greenwich, Connecticut, XPO Logistics, Inc., operating under the brand name XPO, is a one of the leading companies in the transportation and logistics sector. Operating its services in 30 countries, the company employs the use of ground-breaking technology in providing a broad suite of logistics services including supply chain management, freight brokerage, last mile logistics, and intermodal and drayage transportation. XPO's impressive history dates back to 2011 and within its relatively short existence, it has made a series of acquisitions to consolidate its top-notch range of services. Their mission is to provide outstanding results to customers by envisioning and implementing significant advancements in freight transportation and logistics.

Industry

Import-export

Company size

10,000+ Employees

Headquarters location

Greenwich, CT, US