AI Research Engineer, Model Scaling, Self-Driving

At Tesla, you will have access to unparalleled resources that set us apart from other companies in the AI industry. You will have access to the largest self-driving dataset in the world, providing a unique, and perhaps the only, environment to investigate scaling laws for sequential decision-making problems. Tesla also offers one of the highest GPU resources per engineer in the industry, giving you a significantly larger computational budget compared to typical AI research environments.
These unique resources enable you to conduct experiments and scaling analyses at a level unmatched by any other company, allowing you to grow as a researcher by tackling challenges that others simply cannot offer. By working at Tesla, you'll have the opportunity to push the boundaries of AI and autonomous driving technology while advancing your skills in an environment that truly values innovation and cutting-edge research.

Responsibilities

• Perform scaling law analyses on model size, data size, data mixture, training compute, and other critical parameters to optimize our AI models using the largest self-driving dataset in the world
• Develop and implement novel architectures and algorithms to effectively scale large End-to-End (E2E) self-driving models
• Create and maintain infrastructure for efficient, large-scale distributed training of E2E models, resolving compute and memory bottlenecks for training and inference
• Evaluate and enhance model performance, with a focus on increasing miles driven without human intervention
• Work closely with cross-functional teams to deploy AI models in production, ensuring they meet stringent performance and reliability standards
• Contribute to the development of tools and frameworks that improve the scalability and efficiency of model training and deployment processes

Requirements

• Proven experience in scaling and optimizing large AI models, with a strong understanding of infrastructure challenges and solutions
• Proficiency in Python and a deep understanding of software engineering best practices
• In-depth knowledge of deep learning fundamentals, including optimization techniques, loss functions, and neural network architectures
• Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Strong expertise in distributed computing and parallel processing techniques
• Demonstrated ability to work collaboratively in a cross-functional team environment
• Strong problem-solving skills and the ability to troubleshoot complex system-level issues

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)
• LGBTQ+ care concierge services
• 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

$140,000 - $360,000/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.