Senior Software Engineer ML Infrastructure

You will design and implement distributed cloud GPU training for deep-learning training and evaluation. You will build end-to-end machine-learning pipelines, integrate them into product workflows, promote ML engineering practices, and collaborate across the company to solve data problems at scale.

Responsibilities

• Design and implement distributed cloud GPU training approaches
• Build end-to-end machine-learning pipelines
• Integrate machine-learning pipelines into core product workflows
• Promote ML engineering best practices
• Collaborate across the company to solve data problems at scale

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or equivalent
• 3+ years of professional experience
• Experience building software components for production full-stack machine-learning challenges
• Knowledge of ML training, evaluation, and deployment platforms
• Knowledge of when to use open source versus building in-house
• Analysis
• problem-solving

Benefits

• Equity
• Health insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• 401k retirement benefits with employer match
• Learning stipend
• Wellness stipend
• Paid time off