Sr. Machine Learning Engineer, Navigation, Optimus

Tesla, Inc.; Palo Alto (CA); On-site; USD 140,000 - 360,000; Full time

Job summary

An innovative company is seeking a Senior Machine Learning Engineer to work on cutting-edge neural network algorithms for humanoid robotics. This role involves training and optimizing deep learning models for visual recognition and perception, contributing to the development of state-of-the-art algorithms in areas such as object detection and multi-sensor fusion. The ideal candidate will have a strong background in Python and C++, with experience in deploying neural networks in real-world applications. Join a team that is at the forefront of technology, driving advancements in automation and robotics, and enjoy competitive compensation and comprehensive benefits.

Benefits

Aetna PPO and HSA plans

Dental and vision plans

401(k) with employer match

Employee Stock Purchase Plans

Company paid life and disability insurance

Flexible Spending Accounts (FSA)

Paid sick and vacation time

Back-up childcare resources

Employee discounts and perks program

Weight Loss and Tobacco Cessation Programs

Qualifications

• Experience in training and deploying neural networks in real-world applications.
• Expertise in deep learning algorithms and optimization techniques.

Responsibilities

• Train machine learning models for visual recognition and perception tasks.
• Develop algorithms for deep learning and multi-sensor fusion applications.

Skills

Python

C++

Deep Learning

Reinforcement Learning

3D Computer Vision

Distributed Deep Learning

Tools

Pytorch

Numpy

Job description

Sr. Machine Learning Engineer, Navigation, Optimus

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

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 - $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.

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.

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