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Machine Learning Biomedical Internship Jobs in Taunton, MA

Whoop

Senior Manager, Machine Learning, SaMD

Boston, MA · On-site

Our Health Machine Learning team develops the algorithms and models that power health features used ... Bachelor's degree in Computer Science, Engineering, Applied Math, Biomedical Engineering, or a ...

Brownhealth

Research Assistant

Providence, RI · On-site

$41K - $68K/yr

... for biomedical research projects. Prepare biological samples and execute molecular analyses ... Develop and apply machine learning tools to analysis genomic and MRI datasets. Assist in the design ...

Brown University Health

Research Assistant

Providence, RI · On-site

$41K - $68K/mo

... for biomedical research projects. Prepare biological samples and execute molecular analyses ... Develop and apply machine learning tools to analysis genomic and MRI datasets. Assist in the design ...

Cleerly

Sr. ML Scientist

Boston, MA · On-site

... Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience. * Strong theoretical and practical expertise in image science, applied mathematics, machine learning ...

Massgeneralbrigham

Computational Associate

Boston, MA · On-site

Experience with or strong interest in machine learning, artificial intelligence, bioinformatics, computational biology, or biomedical data science * Strong analytical, organizational, communication ...

New

Meta

Research Scientist Intern, AI Alignment

Boston, MA

$7.6K - $12K/mo

... machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic advances and apply their ideas ...

1910

AI Research Scientist I

Boston, MA · On-site

Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design ... Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) #LI-Onsite

RA Capital Management, LLC

AI Engineer

Boston, MA · Hybrid

... biomedical technologies. You'll work at the intersection of software development, large language ... Master's in a Computer Science - AI and Machine Learning field required; Bachelors Degree with ...

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Showing results 21-40

All JobsMachine Learning Biomedical JobsMachine Learning Biomedical Internship JobsMachine Learning Biomedical Internship Jobs in Taunton, MA

Machine Learning Biomedical Internship information

See Taunton, MA salary details

$26.2K

$43.7K

$90.2K

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

As of Aug 20, 2026, the average yearly pay for machine learning biomedical internship in Taunton, MA is $43,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,300.00 and $47,200.00 per year, depending on experience, location, and employer.

What is a machine learning biomedical internship?

A Machine Learning Biomedical Internship is a temporary position where students or recent graduates work with professionals to apply machine learning techniques in the biomedical field. Interns typically assist with data analysis, model development, and research projects that involve biological or medical data. The goal is to gain practical experience in using artificial intelligence to solve healthcare challenges, such as disease prediction, medical imaging, or drug discovery. These internships often require knowledge of programming languages like Python and familiarity with machine learning frameworks. They provide valuable hands-on experience and networking opportunities for those interested in biomedical data science careers.

What types of projects do interns typically work on during a machine learning biomedical internship?

Interns in Machine Learning Biomedical roles often contribute to projects involving the development and validation of algorithms for analyzing medical data, such as imaging, genomics, or electronic health records. They may assist with data preprocessing, model training, and performance evaluation under the guidance of experienced researchers or engineers. Collaboration is common, as interns often work closely with interdisciplinary teams including data scientists, clinicians, and software engineers. This hands-on experience provides valuable exposure to real-world biomedical challenges while strengthening both technical and communication skills.

What are the key skills and qualifications needed to thrive as a machine learning biomedical intern, and why are they important?

To excel as a Machine Learning Biomedical Intern, you need a solid background in computer science, statistics, and biology, often supported by coursework or a degree in related fields. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as TensorFlow or scikit-learn), and knowledge of data analysis tools are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable interns to develop effective models, collaborate with multidisciplinary teams, and contribute meaningful insights to biomedical research projects.

What are popular job titles related to Machine Learning Biomedical Internship jobs in Taunton, MA?

For Machine Learning Biomedical Internship jobs in Taunton, MA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Biomedical Internship jobs in Taunton, MA look for?

The top searched job categories for Machine Learning Biomedical Internship jobs in Taunton, MA are:

What cities near Taunton, MA are hiring for Machine Learning Biomedical Internship jobs?

Cities near Taunton, MA with the most Machine Learning Biomedical Internship job openings:

Machine Learning Biomedical Internship jobs near you
Infographic showing various Machine Learning Biomedical Internship job openings in Taunton, MA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,671 per year, or $21 per hour.

Senior Machine Learning Research Engineer (Deep Learning, Sensor Intelligence Group)

Whoop

Boston, MA • On-site

Full-time

Re-posted 5 days ago

Job description

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is seeking a Senior ML Research Engineer to join the Sensor Intelligence Group (SIG). This role will contribute to both member-facing and regulated health features, requiring balance of strong rigor in Machine-learning and Deep-learning fundamentals, and clinical-data/regulatory awareness. You will tackle the complex challenge of extracting reliable insights from noisy sensor data and deploying robust algorithms on constrained edge and cloud environments, ultimately delivering meaningful and personalized metrics to millions of members. Join us in pushing the boundaries of wearable technology and positively impacting people's lives!
RESPONSIBILITIES:
  • Design and train deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data.
  • Stay up to date with the latest advancements in DL research and technologies.
  • Support documentation of the algorithms for regulated health features.
  • Write clean, efficient, and maintainable code
  • Monitor and ensure the proper functioning of algorithms across our diverse user population, addressing any issues related to data and data quality.
  • Conduct experiments and perform rigorous testing of the models. Optimize and fine-tune the DL/ML (including Foundation AI models) models for deployment in production systems, considering factors such as computational resources and real-time constraints. Prepare comprehensive reports for cross-functional teams.
  • Contribute to ongoing research efforts and explore new features for the Whoop product. Collaborate with engineers from SIG, Data Science and Firmware teams to translate research prototypes into scalable, efficient, and cost-effective ML inference systems.

QUALIFICATIONS:
  • Master's or PhD degree in either Computer Science, Electrical engineering, Biomedical engineering, Data Science, Artificial Intelligence, Statistics, or a related field
  • Must have published research papers in ML/DL domains, preferably application of ML/DL on biomedical data
  • Solid understanding of ML fundamentals, and particularly DL techniques. At the SIG team, we like to be aware of the mathematics behind the algorithms we use
  • 4+ years of work/academic experience as a Machine-Learning/Deep-Learning researcher (2+ years, post-PhD work experience with those having a PhD degree). The requirements may be relaxed for exceptional candidates.
  • Experience developing or supporting regulated or high-risk ML systems (e.g., digital health, software as a medical devices), including familiarity with validation, documentation, and change-management requirements in regulated environments is a significant plus.
  • Strong experience with time series data, e.g. data pertaining to wearables, physiological signals or any high-frequency sensor data. Familiarity with signal processing concepts and techniques is expected.
  • Strong experience with multiple DL architectures is expected. Experience in training/fine-tuning/deploying Foundation AI models is a plus.
  • Proficiency in Python (scientific stack), ML/DL frameworks and libraries, e.g. PyTorch, TensorFlow.
  • Experience with cloud computing platforms (e.g. AWS or GCP) is a plus.
  • Strong communication (both written and oral) and collaboration skills across cross-functional teams.
  • Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
  • Demonstrated ability to think innovatively and adapt to changing requirements while consistently producing high-quality reports within tight deadlines.

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.
The U.S. base salary range for this full-time position is $150,000 - $215,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.
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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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