Easy to use computational biology tools for drug discovery
Infrastructure Engineer
$180K - $250K•0.50% - 1.00%•San Francisco, CA, US
Job type
Full-time
Role
Engineering, Backend
Experience
Any (new grads ok)
Visa
US citizen/visa only
Connect directly with founders of the best YC-funded startups.
About the role
We’re looking for an Infrastructure Engineer 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 plat…
Easy to use computational biology tools for drug discovery
Infrastructure Engineer
$180K - $250K•0.50% - 1.00%•San Francisco, CA, US
Job type
Full-time
Role
Engineering, Backend
Experience
Any (new grads ok)
Visa
US citizen/visa only
Connect directly with founders of the best YC-funded startups.
About the role
We’re looking for an Infrastructure Engineer 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.
Most importantly, you should thrive in a fast-paced startup environment where you’ll wear multiple hats, learn new technologies quickly, and help solve novel technical challenges. We value engineering judgment, problem-solving ability, and the capacity to build systems that can evolve with our growing needs.
Requirements
- 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.
Preferred
- Experience scaling production systems
- Kubernetes experience
- Infrastructure as code tools (Terraform, Pulumi)
- Monitoring and observability tools
- Experience with GPU workloads
About Tamarind Bio
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.
Founded:2023
Batch:W24
Team Size:10
Status:Active
Founders