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Human Health and Performance Systems Co-op (Spring 2027) - Group 02-24

MIT Lincoln Laboratory

Lexington, MACo-op$25–32/hrSeen 1w agoSeen in employer's feed today

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At a glance

Compensation
$25–32/hr
Location
Lexington, MA
Role Type
Co-op
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

MIT Lincoln Laboratory’s Human Health & Performance Systems Group seeks a co-op student to address AI/ML and image-processing problems for biomedical technologies. The student will work with engineers, scientists, and clinicians on multimodal biomedical datasets, machine-learning algorithms, and visualization tools for medical imaging. The group’s research includes wearable systems, human-machine teaming, neurocognitive analytics, and medical technologies.

Skills & qualifications

RequiredNice to have

Skills

AI/ML MethodsModel Architecture SelectionAI/ML Model DevelopmentAI/ML Model TestingPythonPyTorchBiomedical Signal/Image ProcessingRobotics Control SystemsEmbedded Software/AIMATLAB

Qualifications

BS, MS, or PhD in Biomedical Engineering, Electrical Engineering, Computer Science, or Related Field

Full job description

The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.

Job Description

Our team is looking for a Co-Op student with an interest in solving challenging AI/ML and image processing problems for biomedical technologies. Through this opportunity, you will work with a multi-disciplinary team consisting of engineers, scientists, and clinicians to prepare and process large, multimodal biomedical datasets (e.g., ultrasound, x-ray, microscopy), develop and evaluate machine learning algorithms, and implement data visualization tools for advanced medical imaging technologies. We are looking for students who are self-motivated and interested in image processing, machine learning, deep learning, statistical pattern recognition, and high-performance cloud computing.

Requirements/Skills:

  • The candidate is a student in a B.S., M.S., or Ph.D. program in Biomedical Engineering, Electrical Engineering, Computer Science, or other relevant degree.

  • Demonstrated theoretical knowledge of AI/ML methods and model architecture selection for application-specific requirements

  • Hands-on experience in AI/ML model development and testing

  • Experience with Python and PyTorch

  • Biomedical signal/image processing

Preferred (not required):

  • Robotics control systems

  • Embedded software/AI

  • MATLAB

Compensation

  • Technical Co-Op: $25 – $32 per hour (based on year in school)

  • Administrative Co-Op: $23 – $27 per hour (based on year in school)

How this job compares

Set against the 2,098 open Machine Learning jobs on Olive Jobs, counted October 29, 2026.

Pay
  • This posting$25–32/hr
  • US median$28–44/hr89 hourly ranges

This range's midpoint, $28.50/hr, is 17% below the US median midpoint ($34/hr) — in the middle half of Machine Learning hourly ranges across the US.

Openings
Olive Jobs lists 83 open Machine Learning jobs in Massachusetts and 2,098 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Massachusetts
Experience
Machine Learning postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 8 years (1,572 postings).
Education
858 of the 2,098 open Machine Learning jobs (41%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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