Member Technical Staff - Software Engineer; UI​/UX

Member Of The Technical Staff - Software Engineer (UI/UX)
About Transfyr

Transfyr is building physical AI for science.

Why is it that a professional athlete has dramatically more information about every play they make than a scientist has about the cause of any experimental failure? Science has no film room, no instant replay. Instead, a protocol says what was meant to happen. A publication is a lossy record of what might have worked. But all the small decisions and invisible actions that determine whether an experiment succeeds, fails, or transfers to the next lab often disappear the moment the work is done or a scientist leaves.

That missing record is why it has been so hard to automate the physical work of science. It’s why training still remains dependent on scarce, one-to-one apprenticeship. It’s why tech transfer typically requires expensive troubleshooting and is one of the biggest causes of drug launch delays. It’s why scientists struggle to distinguish between biological noise and process variability.

We’re changing that. Transfyr builds physical AI systems that capture real scientific work and turn it into a high-fidelity, machine-readable record of execution and analysis of where process variability is impacting results. In doing so, we are also building the world’s largest commercial dataset on real-world scientific execution. The result is infrastructure that helps teams learn from failures, transfer hard-won know-how, train the next generation of scientists, and give models and robots the grounded data they need to be useful in the real world.

We’re tackling some of the hardest problems at the intersection of frontier science, perception, machine learning, and robotics and have significant traction. We’re backed by a $25M seed round, are collaborating with the largest frontier AI labs, and our advisors include Chris Ré (Stanford), David Baker (Nobel winning UW professor), Kevin Weil (fmr CPO at OpenAI), Steve Quake (Stanford biophysicist), Ken Frazier (fmr CEO of Merck), and Jakob Uszkoreit (CEO of Inceptive and author of "Attention Is All You Need").

We’re unapologetically ambitious and pragmatic. If you want to work on the hardest problems in the most important industry on earth, join us.

Want to learn more? Read our launch letter here.

Software Engineers (UI/UX) at Transfyr design, build, and support the interfaces through which wet-lab biologists, lab managers, annotators, and customers use our platform.

The underlying data includes synchronized high-resolution video, audio, transcripts, sensor streams, protocol context, model outputs, annotations, and experimental outcomes. Your job is to make that information clear and useful, raising the right signal for each user.

This is an engineering role with end-to-end design ownership. You will learn from users, define workflows, prototype interactions, make information-architecture and visual-design decisions, write production code, and support what you ship. We are not looking for someone who only produces wireframes or hands implementation to another team.

Because Transfyr operates across edge and cloud infrastructure, you will work closely with backend, perception, and AI/ML engineers on video streaming, overlays, queries, data contracts, and system performance. You may contribute beyond the browser when that is necessary to deliver a reliable product.

This role is in-person in Cambridge, MA.

While we welcome direct applications, we prefer warm introductions. If you’re really interested in Transfyr, we strongly recommend you get an introduction from someone who knows you well and whose opinion we’re likely to trust. And in general, the strongest way to get our attention is to show us what you have built, solved, or learned that is relevant to this role.

• Build intuitive scientific interfaces: Help wet-lab biologists and lab managers understand what happened, find what matters, compare execution, identify deviations, and decide what to do next.

• Create video-data-rich experiences: Build responsive products for synchronized video, audio, transcripts, sensor data, protocol steps, model outputs,…