Apache Kafka, AWS, Azure, Cloud computing, Debugging, Effective communication skills, GoLang, Google Bigtable, Google Cloud Platform (GCP), Machine learning techniques, MySQL, Postgres, Python Programming, Software Development, TypeScript
At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.
As a Staff Performance Engineer you will work closely with the Infrastructure Team to scale wandb.ai in lockstep with our exponentially growing userbase. You’ll be instrumental in the evolution of our platform as we grow to ingest and query petabytes of data, and guide technical decisions and architectural choices to maximize performance.
Responsibilities:
Requirements:
Why join us?
Weights & Biases helps machine learning teams build better models faster. With a few lines of code, practitioners can instantly debug, compare and reproduce their models — architecture, hyperparameters, git commits, model weights, GPU usage, and even datasets and predictions — and collaborate with their teammates.
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
0-2 year
San Francisco, CA, USA
4-6 year
San Francisco, CA, USA
0-2 year
New York, NY, USA
4-6 year