Staff Software Engineer, Backend (Remote)

Weights & Biases
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Job Description

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:

  • Scale a platform trusted by leaders in the ML industry to ingest and query terabytes of data daily.
  • Define the architecture for our next-generation data ingestion and querying systems to achieve high performance and reliability.
  • Advise and educate development teams on how to build and operate scalable, performant services.

Requirements:

  • 5+ years of experience managing, monitoring, and debugging distributed systems/databases (MySQL, Postgres, BigTable, Kafka, etc.) in production.
  • Advanced knowledge of at least one cloud provider (AWS, GCP, Azure).
  • Strong grasp of at least one higher-level language and its ecosystem (Go, Python, TypeScript, etc.)
  • A willingness to dive into and debug issues at any layer of the tech stack, from the application layer to the network.
  • A demonstrated ability to think critically under pressure.
  • Excellent communication skills and an ability to explain deeply technical concepts simply.

Why join us?

  • Top-tier machine learning teams rely on our tools for their daily work at companies including OpenAI, Toyota Research Institute, Lyft, Samsung, and Pandora.
  • You'll never stop learning. This role gives you first-hand experience talking with leading researchers in the field, understanding their problems, and directly shaping the product direction.
  • Our experienced founding team has successfully built and sold ML tools in the past at Figure Eight, and their deep knowledge of our industry, empathy for our users, and skillful management is driving W&B to success.
  • Customers genuinely benefit from our tool. Here's a quote from Wojciech Zaremba, Cofounder and Robotics Lead, OpenAI: W&B allows to scale up insights from a single researcher to the entire team, and from a single machine to hundreds of them.

Company Info.

Weights & Biases

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.

  • Industry
    Information Technology
  • No. of Employees
    172
  • Location
    San Francisco, California, USA
  • Website
  • Jobs Posted

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Weights & Biases is currently hiring Software Engineer, Backend Jobs in San Francisco, CA, USA with average base salary of $120,000 - $250,000 / Year.

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