kathrynloving

Transfyr | Full Stack Software Engineer | Cambridge, MA | Full-time | ONSITE

Transfyr is building physical AI for science, and the world’s largest commercial dataset on real-world scientific execution.

We are looking for a full stack engineer who can work at the hardware/software interface, to integrate our AI and data into tools that solve real customer problems. Our stack spans backend services, data pipelines, and user-facing interfaces. We are looking for strong full-stack programming skills and a track record of shipping real software systems that get used, maintained, and evolved. We particularly value experience designing, building, and maintaining data intensive or backend systems, particularly with high-volumes of multimodal data (e.g. live streaming videos or games or robotics perception). We value strong fundamentals, curiosity, and the ability to learn quickly over familiarity with specific tools.

If you're interested, apply here! https://transfyr.ai/join-us

Transfyr | Full Stack Software Engineer | Cambridge, MA | Full-time | ONSITE

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? At Transfyr, we are building the infrastructure to make real-world scientific work legible, transferable, and reproducible.

Modern science is capable of extraordinary outcomes, but much of the most important insights never become explicit: how experiments are actually executed, protocols drift, how experts make gametime decisions on the fly, why experiments fail on Tuesdays. This tacit knowledge is rarely captured, making it difficult to reliably reproduce results, much less hand off protocols to new team members or collaborators. We believe our systematic failure to capture tacit knowledge is holding back the entire industry.

We’re building systems that operate directly in real laboratory environments to elucidate, capture, and interpret this missing information. Our platform records and analyzes multimodal data about how scientific work is performed and turns it into durable, operational knowledge. In doing so, we are also building the world’s largest commercial dataset on real-world scientific execution.

This foundation is critical not only for driving elite human performance today, but for enabling meaningful automation tomorrow. Physical AI systems cannot learn from outcomes alone; they require rich, grounded records of how work is actually done in the real world.

Key domains of expertise we’re looking for (hiring from entry level to senior leadership):

- Computer Vision: take messy real-world images and video and make sense of them

- AI / ML Research & Engineering: build the best digital brains to support the best physical brains on the planet

- Full Stack Engineering: integrate our AI and data into tools that solve real customer problems.

A change from when I posted here previously: we are now focused on on-site in-person roles, at our lab/office in Cambridge, MA. And, we are particularly interested in DevOps/backend experience for the full stack role.

If you're interested, apply here! https://transfyr.ai/join-us

Transfyr | AI/ML Software Engineer | Cambridge MA | Full-time | ONSITE or REMOTE (US)

Transfyr is building the API layer for science. The business model of science is broken, leaving meaningful innovation and novel treatments lost in translation. Funding alone isn’t enough to solve the problem; we need a new paradigm for making scientific knowledge that is robust, reproducible, and transferable. At Transfyr, we are building the infrastructure to enable the exchange of scientific know-how between individuals and organizations, just as APIs create interfaces for software systems to seamlessly integrate. We build advanced multimodal and self-evolving AI tools to wrestle with the complex physical realities of science, enabling scientists to fully capture and translate what it really takes to move science beyond the lab.

Key domains of expertise we’re looking for (hiring from entry level to senior leadership): * Computer Vision - take messy real-world images and video and make sense of them * AI / ML Research & Engineering - build the best digital brains to support the best physical brains on the planet * Full Stack Engineering - integrate our AI and data into tools that solve real customer problems

If you're interested, apply here! https://transfyr.typeform.com/to/P5wmbK0V

Thanks for trying it out!! Yes the new towers are placed randomly, with the gun turret pointed toward your mouse. He said he uses a random value for x and y for each tower (and he isn't sure why they always appear in the top half of the screen - maybe bug or maybe feature:)

I'm working on a new platform to easily deploy compute/memory-intensive applications to cloud API endpoints [1]. This let's you share your app with others (e.g. colleagues) and makes the most sense if your task needs a lot of memory/CPU but not too much IO. Contact info is in my profile and I'm happy to discuss your use case!

[1] https://www explorablelabs.com

Mark, could you comment on MSCs vs iPSCs? A Nobel Prize was awarded in 2012 [1] and I'm aware of many labs using these "Yamanaka factors" to reprogram differentiated body cells (like skin) into stem cells. And it is possible to move stem cells between people [2]. Right now of course everyone is waiting for additional data on stem cell therapies (and for regulation to catch up [3])... but by the time therapies are approved for stored MSCs, wouldn't people just be creating allogenic iPSC "young stem cells" on-demand? Curious to hear your thoughts!

[1] https://www.nobelprize.org/nobel_prizes/medicine/laureates/2... [2] https://www.nature.com/news/japanese-man-is-first-to-receive... [3] https://www.fda.gov/NewsEvents/Newsroom/PressAnnouncements/u...