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Member Technical Staff

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Transfyr Bio
Full Time position
Listed on 2026-01-01
Job specializations:
  • Software Development
    AI Engineer, Full Stack Developer
Job Description & How to Apply Below
Position: Member of the Technical Staff - Create your own Adventure

Work with us:

Your impact starts here. We enthusiastically invite applicants across a broad range of expertise and experience to apply. Maybe you have expertise at the bench and have seen reproducibility challenges first hand, maybe you’re one of the first people to read a new AI benchmarking paper that comes out, or maybe you have a knack for quickly developing and deploying solutions that make mundane tasks easier.

Each candidate that joins the team will be a member of the technical staff, and compensation will depend on experience and responsibility. Our team works across AI and biotech innovation, so even if you apply for one role, we may consider you for others as well.

We think in-person collaboration is invaluable, but recognize that talent is broadly distributed, and are open to flexible working arrangements. We’re based in Cambridge, MA, but invite applications from all geographies.

What you can expect from us:
  • Opportunity to join a creative and mission-oriented founding team and build with us, from the ground up
  • We have a bias for action and are obsessed with solving our customers’ real problems
  • We also love bold and audacious science, enabling moonshots, and are motivated to work with and across the entire ecosystem, enabling new and better futures for ourselves and our families
  • We also offer a full HR comp stack to include competitive salary, equity, and benefits

We believe greatness can come from curiosity driven exploration. If you don’t find yourself aligned to one of the listed roles, but care about this problem, we want to hear from you too.

Preferences:
  • Degree or experience in fields that may support leveraging AI/ML to make experimental science more reproducible, interpretable, and transferable at scale.
  • Startup or early-stage experience preferred; comfort with ambiguity and rapid iteration is a must.
  • Ideal candidates are located within commuting distance from Cambridge, MA.
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