Job Description

What to Expect

At Tesla, we're accelerating the world's transition to sustainable energy, and Tesla Insurance is a key part of this mission, offering innovative, data-driven solutions tailored to Tesla and non Tesla vehicle owners. By leveraging real-time vehicle data, AI, and cutting-edge technology, we provide fair, efficient coverage that enhances safety and customer satisfaction. You'll join a dynamic, collaborative group of product-minded engineers passionate about building scalable systems for quotes, policies, rating, underwriting, and billing, essential for seamless customer experiences via mobile apps, AI agents, and internal web tools for customers and insurance agents. In this fast-paced environment, expect a blend of greenfield development, system enhancements, and strategic contributions to our backend architecture, with opportunities to integrate AI for smarter decision-making and drive direct impact on business growth and user experiences. We value high ownership and agency, empowering you to innovate while scaling our systems. As a Machine Learning Engineer, you'll tackle complex, ambiguous challenges, transforming them into end-to-end solutions that drive Tesla's mission.

What You'll Do

• Design, develop, and implement machine learning models for insurance, safety score and customer support environments using techniques like supervised learning, convolutional neural networks, and tools such as PyTorch and Pandas
• Collaborate with engineering teams, operations, and customer support teams to address operational challenges
• Take ownership of production models, ensuring robust alerting systems for rapid issue resolution
• Work with diverse, heterogeneous datasets (text, voice, images, tabular data) to build scalable solutions
• Translate ambiguous problem statements into actionable, end-to-end machine learning models
• Follow agile development practices and maintain high standards for clean, modular, and sustainable code

What You'll Bring

• In-depth expertise in Python for high-performance, data-intensive applications
• Proficiency with at least one modern deep learning framework (e.g., PyTorch, JAX, TensorFlow)
• Specialized knowledge in areas such as large language models, recommender systems, or operations research
• Strong foundational understanding of statistics for model comparison and performance evaluation
• Real-world experience deploying and maintaining production machine learning systems
• Passion for writing clean, modular, and sustainable code to transition research into production
• Degree in Computer Science, Data Science, or equivalent experience
• Experience in fintech, insurance, or high-scale systems is highly desirable

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:

• Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna 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
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary 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

$164,480 - $355,920/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.

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