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Tesla Fullstack Software Engineer Machine Learning Platform AI Infrastructure United States, California, Palo Alto 437639531
16.04.2025
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What You’ll Do What You’ll Bring
- Architect and implement scalable, user-friendly tools for AI workflows to track and visualize the lifecycle of machine learning experiments and models
- Build robust tools and infrastructure to improve the machine learning team's velocity. This includes training and evaluation code in Python to back-end and front-end work in JavaScript
- Collaborate closely with ML engineers to ensure tools are aligned with research needs
- Design dashboards to provide real-time insights into performance and progress for our ML engineers and leadership
- Coordinate required hardware resources with the team managing the cluster hardware to maintain high availability
- Strong knowledge of Python, React, and Linux
- Experience working with backend infrastructure components (relational databases, in-memory caches, message brokers)
- Experience building modern web applications using Flask/Django and React/Redux or similar component-based libraries
- Experience deploying services on Kubernetes and setting up CI/CD flows
- Solid understanding of security principles and best practices
- UI and graphic design sensibilities
- Experience working with HPC clusters
- Knowledge of machine learning, computer vision, or neural networks
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