Constructive Bio is a VC-backed biotechnology startup based in Whittlesford, Cambridge. Our unique technology turns living cells into biofactories, creating sustainable new materials and therapeutics. With full control of the genetic sequence and code, we are exploring chemical space previously unreached by natural biology. 

Constructive Bio is a spinout from Professor Jason Chin's laboratory at the MRC Laboratory of Molecular Biology in Cambridge. Learn more about the Chin lab achievements here:
https://www2.mrc-lmb.cam.ac.uk/ccsb/jason-chin/

We recently secured $58 million Series A fundraising. Read more here: https://www.constructive.bio/blog/news/constructive-bio-secures-58-million-in-series-a-financing  

What we’re looking for:

We're looking for an ML engineer who can turn prototypes into production systems and work fluidly across the biology-ML boundary. You'll build and maintain our codebase, scale training pipelines, and fine-tune state-of-the-art sequence models on in-house data — all in close collaboration with experimental biologists. This is a frontier role: generative models that directly inform wet-lab design cycles.

As our second ML hire, you'll work directly with our ML Scientist to define engineering standards and infrastructure that will shape everything that follows. The role carries real ownership — and real exposure to the full stack of modern biological ML