Job Summary:
Tamarind Bio is a company that enables scientists to access AI-powered drug discovery. They are seeking two Infrastructure Engineers to lead the scaling of their machine learning inference system, responsible for architecting and maintaining infrastructure that serves over 150 biological ML models.
Responsibilities:
• Lead the scaling of our machine learning inference system.
• Architect and maintain infrastructure that serves 150+ biological ML models.
• Scale our platform several orders of magnitude to meet rapidly growing demand.
• Work closely with the founders to design to the constraints of customer needs, unpredictable workloads, and unique Bio-ML models.
• Work with Kubernetes and other tools to orchestrate containerized workloads, optimize resource allocation, and ensure high availability across our model serving infrastructure.
Qualifications:
Required:
• 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
Company:
Tamarind Bio is a software company that help the scientists and researchers using computational tools in biology. Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.