A unified interface 300+ AI molecular design tools, available via web interface, API, and agents. Run models like AlphaFold, RFdiffusion, or BindCraft at massive scale, connect them together and fine-tune them on internal data. Backed by Y Combinator.
About the role
We're looking for two Infrastructure Engineers to lead the scaling of our machine learning inference system. You'll be responsible for architecting and maintaining infrastructure that serves 150+ biological ML models, scaling our platform several orders of magnitude to meet rapidly growing demand.
What they're looking for
- Solid programming and automation skills
- Experience with containerization and orchestration concepts
- Cloud platform knowledge (AWS/GCP/Azure)
- Located in the SF Bay Area or able to relocate to the Bay Area
- Onsite expectation: Team currently onsite in SF ~5 days/week
More about this role
We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren’t feasible until now.
New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.
We're looking for two Infrastructure Engineers to lead the scaling of our machine learning inference system. You'll be responsible for architecting and maintaining infrastructure that serves 150+ biological ML models, scaling our platform several orders of magnitude to meet rapidly growing demand.
You’ll work closely with the founders to design to the constraints of customer needs, unpredictable workloads, and unique Bio-ML models. You'll work with Kubernetes and other tools to orchestrate containerized workloads, optimize resource allocation, and ensure high availability across our model serving infrastructure.
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