Machine Learning Engineer - Infrastructure

Overview

Role involves building foundational ML infrastructure for data-intensive products.

Ideal candidate has 3+ years of ML experience and strong backend service skills.

Locations

• United States, California, San Francisco

Requirements

• Master/Ph.D. in relevant field
• 3+ years of ML experience
• 3+ years in backend services
• Experience with Python, Kubernetes, Go, Kafka, Docker, Spark, SQL, AWS
• Experience with ML libraries like Xgboost, Sklearn, TensorFlow, PyTorch
• Strong collaboration and communication skills
• Ability to succeed in a dynamic startup environment

Responsibilities

• Design and implement ML infrastructure
• Collaborate with engineers and data scientists
• Build and maintain distributed systems
• Write and maintain high-quality production code
• Consult and review projects with data engineers

Benefits

• Health plans
• OneMedical membership
• Equity grant