Aartificial intelligence, Effective communication skills, Git, Github
At Weights & Biases, our mission is to build the best developer tools for AI developers. 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 Software Engineer in charge of engineering productivity, you’ll build and maintain the key tools and systems that the engineering team uses to build Weights & Biases. You’ll partner closely with engineers around the organization to understand our various development workflows and brainstorm improvements. This is a brand new role, and as such you will have the opportunity to own the overall strategy, vision, and roadmap for how to boost engineering productivity.
Responsibilities
What we're looking for (Requirements)
Why join us?
$177,000 - $245,000 a year
The US base pay for this position ranges from $177,000 USD per year in our lowest geographic market up to $245,000 USD per year in our highest geographic market. Weights & Biases is committed to providing competitive salary, equity and benefits packages for all full-time employees. Individual compensation will be commensurate with the candidate's experience, qualifications, and geographic location.
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
0-2 year
New York, NY, USA
4-6 year
San Francisco, CA, USA
2-4 year