Determined AI | San Francisco, CA | Remote (SF preferred).
We build software to make deep learning engineers dramatically more productive. Founded by leading experts in distributed systems and machine learning, our product is a complete ML environment that enables teams of DL engineers to share a GPU cluster, do efficient hyperparameter tuning, and train/deploy deep neural networks up to 100x more quickly than with state-of-the-art tools. We are well-funded and have significant customer traction.
The team is deeply technical and working at the cutting edge of modern ML infrastructure, but we also care about building practical technology that solves real problems for our customers.
We’re hiring exceptional software engineers to play a fundamental role in building the company and shaping the culture. We're particularly interested in
(1) Distributed Systems Engineers who are passionate about building scalable, reliable software.
(2) Full-stack Engineers who believe that building enterprise software doesn't mean that great UX is optional.
(3) ML Engineers with a strong algorithmic and statistical background, as well as hands-on experience building deep learning applications.
Tech Stack: Python, Go, Elm, Kubernetes, Mesos, Docker, TensorFlow/Keras/PyTorch.
Compensation: Competitive salary and benefits, meaningful equity stake.
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Ask HN: Who is hiring? (September 2018)