AI Research Engineer, Model Scaling, Self-Driving

AI Research Engineer, Model Scaling, Self-Driving
Job Category AI & Robotics
Location Palo Alto, California
Req. ID 225833
Job Type Full-time


What to Expect
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.

What You’ll Do
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
What You’ll Bring
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)
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 - $420,000/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.



Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodationrequest@tesla.com for additional information or to request accommodations.

Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice .

Apply
https://www.tesla.com/careers/search/job/ai-research-engineer-model-scaling-self-driving-225833