MLOps Engineer - Supercomputing

Overview

Role involves managing infrastructure for large machine learning models on GPUs.

Ideal candidate has 3+ years of experience with scalable training-inference pipelines and cloud computing.

Strong preference for in-person in San Francisco, remote work possible for exceptional candidates

Locations

• United States, California, San Francisco

Requirements

• Bachelor's degree or equivalent experience
• 3+ years of relevant experience
• Experience with scalable training-inference pipelines

Responsibilities

• Run large-scale experiments
• Manage infrastructure for foundation models
• Optimize models for performance and accuracy