Analytical and Problem solving, Effective communication skills, GoLang, Machine learning techniques, Product Management, Python Programming, PyTorch, SDK, Software Development, TensorFlow
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
Requirements:
Our Benefits
$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.
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
San Francisco, CA, USA
2-4 year