Infrastructure Engineer
About the role
Infrastructure Engineer to lead scaling of a machine learning inference system for 150+ biological ML models, architecting and maintaining scalable, highly available infrastructure, primarily using Kubernetes and cloud services.
Responsibilities
- Lead the scaling of the machine learning inference system.
- Architect and maintain infrastructure that serves 150+ biological ML models.
- Scale the platform several orders of magnitude to meet growing demand.
- Work with founders to design around customer needs, unpredictable workloads, and Bio-ML models.
- Orchestrate containerized workloads using Kubernetes and other tools.
- Optimize resource allocation and ensure high availability across model serving infrastructure.
- Collaborate in a fast-paced startup environment and solve novel technical challenges.
Qualifications
- 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
Skills
About Tamarind Bio
Easy to use computational biology tools for drug discovery
Tamarind Bio is a website and API which allows scientists to use computational biology tools at scale using a simple interface. On Tamarind, scientists can use ML models like AlphaFold to design and simulate molecules by simply selecting inputs instead of or setting up a high performance computing environment or dealing with DevOps. Our tools are used by thousands researchers in large pharma companies, top biotechs, and academic institutions. We currently focus on models in protein design and engineering, including for antibodies/therapeutics and enzymes. Get in touch at founders@tamarind.bio
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