Sr. Machine Learning Engineer, Navigation, Optimus
140000.00 $
Published date: 2025/05/31
- Location: Palo Alto, California, United States
Sr. Machine Learning Engineer, Navigation, Optimus
Job Category AI & Robotics
Location Palo Alto, California
Req. ID 222388
Job Type Full-time
What to Expect
Tesla is on a path to build humanoid bi-pedal robots at scale to automate repetitive and boring tasks for manufacturing/logistics. Core to the Optimus, the deep learning stack presents a unique opportunity to work on state-of-the-art neural network algorithms for deep learning culminating in their deployment to real world production applications. Our deep learning research scientists and engineers develop and own this stack from inception to deployment.
What You’ll Do
Train machine learning and deep learning models on a computing cluster for visual recognition & perception tasks, such as segmentation and detection and world representation applications
Develop state-of-the-art algorithms in one or all of the following areas: deep learning (convolutional neural networks), object detection/classification, tracking, multi-task learning, large-scale distributed training, multi-sensor fusion, dense depth estimation, LLMs, etc.
Optimize deep neural networks and the associated preprocessing/postprocessing code to run efficiently on an embedded device
What You’ll Bring
Experience writing both production-level Python (including Numpy and Pytorch) and modern C++
Experience in deep imitation learning or reinforcement learning in realistic applications
Exposure to robotics learning through tactile and/or vision-based sensors
Proven track record of training and deploying real world neural networks
Familiarity with 3D computer vision and/or graphics pipelines
Experience with distributed deep learning systems
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 .
Sr. Machine Learning Engineer, Navigation, Optimus
Tesla participates in the E-Verify Program
Apply
https://www.tesla.com/careers/search/job/sr-machine-learning-engineer-navigation-optimus-222388
Job Category AI & Robotics
Location Palo Alto, California
Req. ID 222388
Job Type Full-time
What to Expect
Tesla is on a path to build humanoid bi-pedal robots at scale to automate repetitive and boring tasks for manufacturing/logistics. Core to the Optimus, the deep learning stack presents a unique opportunity to work on state-of-the-art neural network algorithms for deep learning culminating in their deployment to real world production applications. Our deep learning research scientists and engineers develop and own this stack from inception to deployment.
What You’ll Do
Train machine learning and deep learning models on a computing cluster for visual recognition & perception tasks, such as segmentation and detection and world representation applications
Develop state-of-the-art algorithms in one or all of the following areas: deep learning (convolutional neural networks), object detection/classification, tracking, multi-task learning, large-scale distributed training, multi-sensor fusion, dense depth estimation, LLMs, etc.
Optimize deep neural networks and the associated preprocessing/postprocessing code to run efficiently on an embedded device
What You’ll Bring
Experience writing both production-level Python (including Numpy and Pytorch) and modern C++
Experience in deep imitation learning or reinforcement learning in realistic applications
Exposure to robotics learning through tactile and/or vision-based sensors
Proven track record of training and deploying real world neural networks
Familiarity with 3D computer vision and/or graphics pipelines
Experience with distributed deep learning systems
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 .
Sr. Machine Learning Engineer, Navigation, Optimus
Tesla participates in the E-Verify Program
Apply
https://www.tesla.com/careers/search/job/sr-machine-learning-engineer-navigation-optimus-222388
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