AI Research Engineer, Foundation Models, Autonomy & Robotics
140000.00 $
Published date: 2025/06/07
- Location: Palo Alto, California, United States
AI Research Engineer, Foundation Models, Autonomy & Robotics
Job Category AI & Robotics
Location Palo Alto, California
Req. ID 229689
Job Type Full-time
What to Expect
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.
What You’ll Do
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
What You’ll Bring
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
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-foundation-models-autonomy-robotics-229689
Job Category AI & Robotics
Location Palo Alto, California
Req. ID 229689
Job Type Full-time
What to Expect
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.
What You’ll Do
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
What You’ll Bring
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
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-foundation-models-autonomy-robotics-229689
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