Anthrogen
We're training the next generation of protein foundation models.
What Anthrogen does
Proteins power everything from the cells in your body to creating materials you rely on every day—but until now, we’ve been forced to discover their functions by trial and error. Designing a new therapeutic can take decades and billions of dollars, and even our best industrial catalysts work at a snail’s pace compared to their theoretical optimums. Anthrogen is changing that. By training massive AI foundation models on protein sequences and structures, we’ve unlocked the ability to generate—on demand—completely novel molecular machines with atomic-level precision. Simply describe the function you need, and our platform imagines the peptide or protein that will deliver it. We're building models to speed up billions of years of evolution into the span of an afternoon's worth of compute. The result? New-to-nature therapies, ultra-efficient catalysts for sustainable manufacturing, and a whole new frontier of molecular innovation—designed as precisely as any cutting-edge aircraft or microchip.
2 open roles
What the role involves
Responsibilities Work on in-house protein language models — design, build, test You will be implementing your own ideas Work with lab team to produce the best proteins possible You will be expected to be deep in the Implementation and theory Work with the team on all of the above and more! Qualifications Strong background in machine learning and coding. Proven track record of following through on complex projects — machine learning and/or other Be an absolute code wizard. Has led/initiated their own projects and is comfortable in a fast-paced environment. Strong math background. You will need to learn more math Will learn and adapt quickly—we are an early-stage startup and things will break. We want someone who is willing to roll their sleeves up with us and fix things. Excited about what we do! We are highly mission driven if you don’t care about making an impact we are not the right fit. If you aren’t willing to do everything it takes to change the world we are also not the right fit. Of all the things on this list, this is perhaps the only non-negotiable. Benefits Competitive pay ($120k-220k/year) + equity options (0.25-0.5%). Full health and dental. We’re based in SF. Depending on the nature of the work, if relocation is necessary, we will make sure to cover all related costs.
What the role involves
Robotics Engineer — Early Team (SF) We’re a seed-stage team in San Francisco building robotic systems to automate real-world lab workflows. Most lab processes today are still manual, slow, and error-prone. Our goal is to build a fully autonomous, “black-box” lab — systems that can take in high-level inputs and run physical workflows end-to-end without human intervention. We’re not there yet. The system is still evolving, and a big part of this role is figuring out what actually works and making it reliable. What you’ll do Design and build mechanical and electromechanical subsystems Write the code that actually runs the system (control logic, sequencing, hardware interfaces) Bring up new hardware and get it working end-to-end Debug failures across the full system — mechanical, electrical, and software Iterate until systems are stable and repeatable, not just working once Required You’ve built and delivered at least one complex physical system with real ownership You’re comfortable writing code that interfaces directly with hardware Strong ability in at least one area: Mechanical design Controls Embedded / systems programming Experience working with motors, sensors, and power in a real system Good at solving unexpected problems Preferred Experience building systems that had to run reliably over time, not just demos Experience integrating multiple subsystems into a working system Prior startup, lab, or independent build experience What this role requires Ownership — you will be responsible for real parts of the system Comfort with ambiguity — we are still figuring things out Speed — we build and iterate quickly Details San Francisco (in-person) Compensation: $140k–$220k + equity
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Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.