About this opportunity
Weights & Biases lists this Software Engineer, SDK - US (Remote) opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
This Software Engineer, reporting to the SDK Team Manager, will be responsible for building the software development kit (SDK) which helps our users accelerate their machine learning projects and build better models faster. The role involves exploring the pain points experienced by Machine Learning Engineers who are building state‑of‑the‑art models, designing solutions to address these issues, and implementing efficient and intuitive interfaces which integrate cleanly into the latest Machine Learning frameworks. The role involves working at the intersection of software development, machine learning, and novel product development.
Here are some key characteristics that will help you thrive in this role:
Outgoing and friendly: You'll love this role if you enjoy connecting with real users day to day, helping them solve issues and understand 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.
Responsibilities
Collaborate with senior engineers to design and build a multi‑platform / multi‑language Machine Learning SDK in a public github repository
Build out support for advanced machine learning workflows, such as distributed training
Build, extend, and enhance a highly reliable and performant data ingest SDK
Design thoughtful solutions to capture user issues in different client setups, and capture the pertinent info for debugging
Creatively improve on current features, and seek out ways to simplify the API and streamline the user experience
Improve CLI and SDK interfaces, implement new integrations with popular ML frameworks as they're released
Keep up with the latest trends in the ML world and leverage existing tools and frameworks whenever necessary
Requirements
4+ years of professional software development in Python or Go
Experience communicating and collaborating on cross‑functional projects
Creative problem solving, and a willingness to dig into details
Experience contributing to architecture and systems design
Experience with ML frameworks such as PyTorch or TensorFlow
Our Benefits
Flexible time off
Medical, Dental, and Vision for employees and Family Coverage
Remote first culture with in‑office flexibility in San Francisco
Home office budget with a new high‑powered laptop
Truly competitive salary and equity
12 weeks of Parental leave (U.S. specific)
401(k) (U.S. specific)
Supplemental benefits may be available depending on your location
Explore benefits by country
$146,000 - $203,000 a year
The US base pay for this position ranges from $146,000 USD per year in our lowest geographic market up to $203,000 USD per year in our highest geographic market. Weights and 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.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.