ML Inference Infrastructure Engineer - SF Bay Area

Tamarind Bio; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Tamarind Bio in San Francisco is seeking an Infrastructure Engineer to scale its machine learning inference system for biological models. Responsibilities include architecting and maintaining infrastructure, ensuring high availability, and collaborating closely with founders. Ideal candidates have solid programming and automation skills, knowledge of containerization, and experience with cloud platforms. Onsite work is expected approximately five days a week. Join Tamarind to work in a fast-paced startup environment tackling novel technical challenges.

Qualifications

• Solid programming and automation skills required.
• Experience with containerization and orchestration concepts.
• Knowledge of cloud platforms like AWS, GCP, or Azure.
• Must be located in the SF Bay Area or willing to relocate.
• Onsite expectation is approximately 5 days/week.

Responsibilities

• Lead the scaling of a machine learning inference system.
• Architect and maintain infrastructure for 150+ biological ML models.
• Work with founders to design systems around customer needs and workloads.

Skills

Programming skills

Automation skills

Containerization

Orchestration concepts

Cloud platform knowledge

Kubernetes

Infrastructure as code tools

Monitoring tools

GPU workloads

Tools

Python

React

AWS

Docker

TensorFlow

PyTorch

Job description

Tamarind Bio in San Francisco is seeking an Infrastructure Engineer to scale its machine learning inference system for biological models. Responsibilities include architecting and maintaining infrastructure, ensuring high availability, and collaborating closely with founders. Ideal candidates have solid programming and automation skills, knowledge of containerization, and experience with cloud platforms. Onsite work is expected approximately five days a week. Join Tamarind to work in a fast-paced startup environment tackling novel technical challenges.