Machine Learning Engineer, Infrastructure

Infrastructure Responsibilities: Design and maintain infrastructure supporting scalable real time data pipelines and handle huge datasets. Develop and support tooling enabling implementation of custom ML algorithms in a low latency environment. Work on infrastructure for running training, inference, monitoring, and deployment on thousands of ML tasks concurrently.

Required Skills: Ability to take an ambiguously defined task, and break it down into actionable steps. Show deep understanding of algorithm and software design, concurrency, and data structures. Express interest in designing scalable distributed systems.

Company Perks: Receive highly competitive salary, retirement/401K/pension savings, and competitive paid time off. Access comprehensive mental health care program and health benefits from day one. Enjoy work from home reimbursements and optional global WeWork membership.