Back to jobs

Co-op, Machine Learning Engineering

LifelancerRemote (United States)Posted 5d ago
Machine Learning Intern
USD 23-33 per hourly
Intern
Remote
Craft my tailored resume free

Free to start · No card

Job description

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 Do


As 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.

Education Requirements

  • Currently pursuing a Bachelor’s, Master’s, or PhD in computer science, software engineering, data science, biomedical engineering, or a related field.
Job Level: Internship

Additional Information

The base compensation range for this role is: $23.00-$33.00

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

Prepare your application

Use the description above to assess your fit for Lifelancer. This checklist is guidance from Resumize, rather than additional requirements from the employer. Imported listings can be shortened or change after collection, so confirm the complete description and current availability before sending an application.

Match requirements to evidence

Identify the responsibilities and skills the employer explicitly names. For each important requirement, choose one example from your work, education, training, or projects. Explain what you did, how you did it, and what changed as a result. Include a measurable outcome when you can support it. If you lack a requirement, describe related experience accurately instead of adding an unfamiliar skill to your resume.

Put the most relevant examples near the top of your resume. Keep job titles, dates, qualifications, and contact details consistent across your application materials. Use the employer’s terminology when it describes your experience accurately; a copied list of keywords does not explain your contribution. A short, specific bullet is easier to review than a paragraph that mixes several unrelated duties.

Check the working arrangement

Confirm the location, schedule, employment type, and any eligibility requirements on the employer’s site. A remote label does not establish worldwide eligibility or flexible hours. If compensation, benefits, equipment, travel, or contract duration are missing from this listing, write down your questions for the recruiter. Do not assume details from another opening at the same company apply to this role.

Review before submitting

Follow the employer’s requested file format and application instructions. Open your exported resume and check that its text is selectable, its sections read in order, and its links work. Proofread names, dates, and contact information. Share confidential work samples only when you have permission, and use an anonymized example when necessary.

Submit through a trusted employer or recruiting destination. If the original listing has disappeared, search the employer’s careers page for the title rather than assuming the vacancy remains open. Save the application date, job reference, and the version of your resume you sent. Those details help you prepare for a later conversation and avoid submitting conflicting information through several job boards.

Review your resume for writing and readability feedback, or browse other openings if this opportunity is unavailable.