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Staff Site Reliability Engineer
Remote
Updated on 11/30/2022
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Google Cloud Platform
Management
Microsoft Azure
MySQL
Postgres
Research
Python
TypeScript
Requirements
  • In-depth 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
  • Deep experience managing, monitoring, and debugging distributed systems/databases (MySQL, Postgres, BigTable, etc.) in production
  • A demonstrated ability to think critically under pressure
  • Excellent communication skills and an ability to explain deeply technical concepts simply
  • Empathetic and friendly: You'll love this role if you enjoy connecting with real users day to day, helping them solve issues and understanding good patterns for using our tools. Day to day you'll be answering questions and requests with a kind, thoughtful tone that makes users feel appreciated and connected to our team
  • Autonomous: If you work well in a self-directed environment, and proactively find ways to improve processes and collaborate with team members or engaged users, your initiative will really shine in this role
  • Curious and driven: Explore machine learning and learn more about the engineering stack and common ML workflows. Solve problems in both fast-paced, short-term sprints and in larger, more long-term projects
  • Organized: A core part of engineering support at Weights & Biases is organizing feedback from many channels into a single, orderly stream. Your organization skills and time management will be key to running this process well
  • 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
Responsibilities
  • Scale a system trusted by leaders in the ML industry to ingest and query terabytes of data daily
  • Build a monitoring and observability platform to pinpoint issues across a fleet of customer deployments
  • Establish the foundations of an SRE team at a fast-growing startup
  • Advise and educate development teams on how to build observable, reliable services
Weight & Biases

201-500 employees

Developer MLOps & visualization platform
Company Overview
Weight & Biases’ mission is to build the best tool for machine learning with their advanced platform that allows models to be built faster with experiment tracking, dataset versioning, and model management. The company is committed to helping machine learning developers in a variety of use cases with their tools that easily integrate and give metrics and visualizations.
Benefits
  • 🏝️ Unlimited vacation time
  • 🩺 100% Medical, Dental, and Vision for employees and Family Coverage
  • 🏠 Remote first culture with in-office flexibility in San Francisco
  • 💵 $1000 home office budget with new high-powered laptop
  • 🥇 Truly competitive salary and equity
  • 🚼 12 weeks of Parental leave
  • 📈 401(k)
Company Core Values
  • Driven
  • Kind
  • Proactive