Member of Technical Staff (applied)
About the role
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 (0.1-0.5%).
- 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.
About Anthrogen
Anthrogen is a San Francisco-based AI research lab building large, complex protein assemblies and biological nanomachines. Its Odyssey multimodal protein models generate, edit, and co-design protein sequences and structures. The company combines large-scale generative models with wet-lab experimentation and robotic automation for applications in human health and industrial manufacturing.
High-precision manufacturing applications include fabs and chips. Anthrogen is also beginning to engage in biodefense and biosecurity.
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Job details
Salary
$120,000 - $220,000
Equity
0.1% - 0.5%
Location
San Francisco, CA
Experience
0+ years
Funding
Last stage
Seed
Investors
Founders
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.