We’re hiring ML scientists and senior engineers in our SF offices and worldwide to work with us on some of the hardest problems around. Strong applied math or physics background preferred.
You’d be joining a team of seasoned folks working on research and implementation for products and services used at scale by the largest companies in the world.
Who are we? We've worked at companies like Apple and Cloudera, studied at institutions like Stanford and MIT, and scaled some of the largest sites in the world.
Our research often goes into production, and our production needs are extreme. Distributed systems expertise and deep familiarity with probabilistic data structures or tick data systems is ideal.
We are an employee-owned company with a strong focus on research, culture, and sustainable work-life balance.
Keywords: multiobjective optimization, reinforcement learning, meta-learning, efficient structure search, Python, TensorFlow, pyTorch, Keras, ONNX, OpenCL, Kubernetes.