Co-op, Machine Learning Engineering
First seen by Alion on Oct 8, 2026.
Job Title: Co-op, Machine Learning Engineering
Job Location: Remote, USA
Job Location Type: Remote
Job Contract Type: Full-time
Job Seniority Level: About the Role:This application is for a 6-month student role from January - June 2027. Resume review begins in October 2026.
What You’ll DoAs a co-op on the Data Science and Applied Machine Learning team focused on Digital Health Technologies (DHT) and Product Development/Readiness, you will contribute to the development, integration, and testing of emerging technology products.
Your primary focus will be hands-on development engineering for products integrating sensor, algorithmic, and agentic technologies. You will also gain exposure to the broader work of bringing digital health technologies and other technical capabilities toward product readiness.
- Day to day: Write and test code for agent backend components, APIs, and tool integrations. Investigate technical issues, review outputs from partner teams, and document what you find.
- End to end: Learn how technical components are developed, integrated, tested, and assessed for product use. With guidance, you will translate requirements into implementation and testing tasks and communicate results to the team.
- Deliverable: Contribute a backend component, integration, prototype, or testing tool, supported by documented code, test results, known limitations, and recommended follow-up work. The team will determine product readiness and next steps.
Example projects may include:
- Agent backend and harness: Help build services or utilities that connect an agent to tools, manage execution, capture results, and support repeatable testing.
- DHT data integration: Help test how data from a digital health technology is received, structured, and checked for completeness or consistency.
- Model-to-product integration: Assist in connecting a model or algorithm developed by another team to a product component, and test its interface, outputs, and error handling.
- Readiness support tools: Build automated checks or utilities that help the team review test results, defects, and technical dependencies.
Who You Are
- You are pursuing a degree in computer science, software engineering, data science, biomedical engineering, or a related field, and have experience programming in Python or another relevant language.
- You have applied software development, data analysis, or machine learning skills through coursework, research, personal projects, or prior work. Familiarity with Git, APIs, backend development, or automated testing is helpful.
- You are interested in AI agents and curious about how digital health technologies and other technical capabilities become reliable products. Prior experience with agents or DHTs is not required.
- You can explain your work clearly, document what you tried and found, and collaborate with people whose expertise differs from yours.
To participate in the Biogen Internship or Co-op Program, students must meet the following eligibility criteria:
- Legal authorization to work in the U.S.
- At least 18 years of age prior to the scheduled start date.
- Currently enrolled in an accredited community college, college, university or skills program/apprenticeship.
- Currently pursuing a Bachelor’s, Master’s, or PhD in computer science, software engineering, data science, biomedical engineering, or a related field.
The actual hourly wage offered will consider the candidate’s current academic level and degree candidacy, inclusive of Associate, Bachelor’s, Master’s, JD, MD, PhD and MBA programs. It will comply with state or local minimum wage requirements specific to the job location.
In addition to compensation, Biogen offers a range of benefits designed to support our educational employees, including, but not limited to:
- Company paid holidays
- Commuter benefits
- Employee Resource Groups participation
- 80 hours of sick time per calendar year
Why Biogen?
We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.
At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about Biogen.
All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.
This job is curated by Lifelancer.
Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.
Please apply via Lifelancer platform to get connected to the application page and to find similar roles.
Originally posted on Himalayas