AI Engineer, Foundation Models, Tesla AI
About The Position
Join us to help build the vision and language models that understand the world and act intelligently in it. We are hiring exceptional Software Engineers that can work across the machine learning stack, from designing and training neural architectures to deciding what data to collect and how to evaluate the model. You will join a small group of world-class deep learning experts to develop novel state-of-the-art neural networks and push the boundaries of AI research and development. Your work will enable real-world intelligent systems for full autonomous driving. Join a team that cares deeply about solving real world embedded intelligence and behavior. Own a machine learning vertical, including deciding what data we should collect and how to label it, designing the network architecture, training the model at scale on one of the largest GPU clusters in the world, and driving and evaluating your model in an engineering Tesla vehicle Work with a world-class team on cutting-edge techniques in large multimodal models, multi-task learning, video networks, generative models, imitation learning, semi-supervised learning, and self-supervised learning Have an outsized impact deploying foundation models to millions of Tesla’s robotic platforms across the world
Requirements
- Strong software engineering skills: much of modern deep learning success comes down to the quality of the implementation and strong engineering ability is non-negotiable
- Demonstrated excellence and a proven track record of solving difficult software engineering problems
- An “under the hood” knowledge of deep learning: layer details, loss functions, optimization, etc.
- Experience with PyTorch, or another major deep learning framework such as JAX or TensorFlow
- Experience working with large datasets
Responsibilities
- Own a machine learning vertical, including deciding what data we should collect and how to label it, designing the network architecture, training the model at scale on one of the largest GPU clusters in the world, and driving and evaluating your model in an engineering Tesla vehicle
- Work with a world-class team on cutting-edge techniques in large multimodal models, multi-task learning, video networks, generative models, imitation learning, semi-supervised learning, and self-supervised learning
- Have an outsized impact deploying foundation models to millions of Tesla’s robotic platforms across the world
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
