Fullstack Machine Learning Engineer, Infrastructure

What to Expect

Tesla is driving forward the next generation of robots, electric vehicles, and energy products.With this progress, the demand for power and energy is greater than ever. Rising energy costs andextended lead times and regulations for power upgrades present challenges for our R&D andproduction capabilities. To overcome these, we're seeking innovative, cutting-edge technologiesand strategies to boost energy efficiency across our facilities and processes. By enhancingefficiency, we aim to increase production and development capacity without expanding energyconsumption, achieving substantial energy savings and operational agility.

The Tesla R&D Infrastructure team is seeking a skilled Full-Stack Machine Learning Engineer to join our mission of accelerating the world's transition to sustainable energy. You will develop in-house tools that automate complex processes and empower our engineers to design faster and operate more efficiently. You'll build scalable, data-driven user interfaces that drive Tesla's internal designs and operations while shaping a sustainable future. Your work will directly impact Tesla's mission by enabling intuitive, visually compelling tools that enhance operational efficiency.

What You'll Do

• Design, develop, test, deploy, scale, and maintain user-friendly web applications and tools that automate existing design workflows and visualize machine learning experiments and models
• Combine multiple data-sources and leverage millions of data points to build robust and scalable end-to-end learning-based systems. This includes training and evaluation code in Python to back-end and front-end work in JavaScript
• Collaborate with cross-functional teams to integrate software systems into Tesla's ecosystem, ensuring seamless deployment and operation
• Build dashboards that provide real-time insights into performance, progress, and key metrics for engineers and leadership
• Proactively identify and resolve performance bottlenecks related to infrastructure, memory, and runtime efficiency
• Present progress at project milestones to stakeholders and cross-functional teams

What You'll Bring

• Degree in Computer Science or equivalent experience
• Proficiency in writing production quality code in Python, and experience with any major machine learning framework
• Experience in optimization techniques and time-series forecasting
• Strong knowledge of the React ecosystem, including familiarity with major solutions for State Management (Redux Toolkit, Zustand, MobX), Styling (Tailwind CSS, Styled Components, MUI), and Testing (Jest, Vitest, Playwright)
• Solid understanding of web development best practices, security principles, design patterns, scalability principles, and componentreuse strategies
• Experience deploying services on Kubernetes or other big data technologies and setting up CI/CD pipeliens
• Experience implementing identity management protocols such as OAuth2, OIDC, and JWT, with attention to preventing vulnerabilities (OWASP Top 10, XSS, CSRF)
• Excellent interpersonal, communication, and collaboration skills

Compensation and Benefits Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Medical plans > plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D
• Short-term and long-term disability insurance (90 day waiting period)
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program

Expected Compensation $124,000 - $210,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.