Full Stack ML Efficiency & Observability

Design and develop features for our capacity management portal Design and develop features to provide visibility into model performance and quality across our fleet Partner with ML researchers and PMs to translate functional requirements into highly functional, intuitive and appealing interfaces Integrate with backend APIs from schedulers to training frameworks to build visibility across the training life cycle Explore, develop, and adapt new innovations to the software development process Contribute to the development of internal tooling and infrastructure Implement best software development practices to ensure code quality. Hold a high quality bar. Embody our culture and values. Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years experience in business analytics, data science, software development, data modeling or data engineering work Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years of business analytics, data science, software development, data modeling or data engineering work experience OR equivalent experience. Experience with Capacity Management, Efficiency Management, ML Training and/or Inference Solid expertise in JavaScript / TypeScript, React, HTML, CSS and browser internals Solid understanding of web performance, accessibility, and cross‑browser compatibility Experience with Development & Debugging with dev environments like Visual Studio or Visual Studio Code Software development experience with Generative AI tools Experience in leading technical projects and supporting architectural decisions with data.