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Machine Learning Biomedical Engineer Jobs in Massachusetts

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 ...

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 ...

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 ...

DraftKings

Senior Machine Learning Engineer

Boston, MA

$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 ...

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 ...

GN Group

Machine Learning Engineer - Edge

Lowell, MA · On-site

$86K - $135K/yr

Machine Learning Engineer - Edge Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions.

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 ...

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 ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier ...

Alzheon Inc

AI Data Engineer

Framingham, MA · On-site

$118K - $142K/yr

The ideal candidate will have a strong background in data engineering, machine learning, and biomedical data, with a passion for transforming complex datasets into actionable insights that drive ...

Ikigai Labs

Machine Learning Engineer

Cambridge, MA · On-site

$125K - $150K/yr

... engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: * ML Optimization and Deployment: Develop and deploy machine learning models for ...

Ikigai Labs

Machine Learning Engineer

Cambridge, MA · On-site

$135K - $200K/yr

... engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: * ML Optimization and Deployment: Develop and deploy machine learning models for ...

Apple

Senior Machine Learning Engineer

Cambridge, MA · On-site

$133K - $176K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

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Machine Learning Biomedical Engineer information

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 Massachusetts? For Machine Learning Biomedical Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Massachusetts look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Massachusetts 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 Biomedical Engineer jobs near you
Machine Learning Engineer III

Machine Learning Engineer III

Chewy

Boston, MA • On-site

$175K - $249K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Chewy rating

6.9

Company rating: 6.9 out of 10

Based on 216 frontline employees who took The Breakroom Quiz

9th of 39 rated national retailers

Job description

Job Description:
Machine Learning Engineer III
Boston, MA - Merchandising - Full time - R29868
Job Description:
What you'll do:
  • Design and implement cloud architectures tailored for end-to-end machine learning workflows (including data preprocessing, model training, and deployment), ensuring scalability, reliability, and performance.
  • Utilize Infrastructure as Code (IaC) tools, such as Terraform or AWS CloudFormation, to automate the provisioning and management of cloud resources for machine learning.
  • Implement and manage containerization solutions (e.g., Docker) and orchestration tools (e.g., Kubernetes) for deploying and scaling machine learning applications.
  • 20% domestic travel required.
  • Telecommuting permitted up to 2 days per week.

What you'll need:
  • Minimum Requirements: Master's degree or foreign equivalent in Operations Research, Data Science, Computer Engineering, Computer Science, Statistics, Applied Mathematics, or related field., plus 5 years of experience in an Operations Research Analysts or a related position/occupation.
  • Alternate Education and Experience: PhD degree or foreign equivalent in Operations Research, Data Science, Computer Engineering, Computer Science, Statistics, Applied Mathematics, or related field., plus 2 year(s) of experience in an Operations Research Analysts or a related position/occupation.
  • Full term of experience must include:
  • Amazon Web Services tools such as Redshift, Snowflake, SageMaker or other similar platforms.
  • and R, PySpark, Spark, Scala, Java, PyTorch, TensorFlow, Docker.
  • Experience must also include:
  • Jenkins.
  • Terraform.
  • MLflow.
  • Model Serialization.
  • Inference Optimization.
  • API development.

Employer: Chewy, Inc.
Office Address: 343 Congress Street, Boston, MA 02210
The base salary range for this role is $175,053.00 to $249,000.00 per year
  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.
To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

What Chewy employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011

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