Software Engineer, Machine Learning SDK

3 weeks ago


San Francisco CA, United States Everything Full time

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Home Jobs Software Engineer Machine Learning Sdk Us Remote Jobs In California San Francisco Colombia Software Engineer, Machine Learning SDK - US (Remote) Jobs in California, San Francisco, Colombia
At Weights amp; Biases, our mission is to build the best developer tools for machine learning. Weights amp; 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.The Machine Learning 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.ResponsibilitiesCollaborate with senior engineers to design and build a multi-platform / multi-language Machine Learning SDK in a public github repositoryBuild out support for advanced machine learning workflows, such as distributed trainingBuild, extend, and enhance a highly reliable and performant data ingest SDKDesign thoughtful solutions to capture user issues in different client setups, and capture the pertinent info for debuggingCreatively improve on current features, and seek out ways to simplify the API and streamline the user experienceImprove CLI and SDK interfaces, implement new integrations with popular ML frameworks as they're releasedKeep up with the latest trends in the ML world and leverage existing tools and frameworks whenever necessary

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