Autonomy Work - Machine Learning Engineer, Integration, AI Platforms

What to Expect

Tesla is a leader in innovative technology, pioneering advancements in autonomous vehicles and humanoid robotics. Our cutting-edge AI platform powers some of the most advanced systems globally, including Full Self Driving for vehicles and humanoid robots.

As a Machine Learning Engineer for Integration within our Autonomy teams, you will develop AI-based solutions for accessory controls of FSD, including the efficient control of cleaning, heating, and fault recovery strategies. Additionally, you will work with vehicle hardware and firmware teams to design vision-based solutions for enhancing vehicle systems that improve customer safety and experience.

The team contributes to the development and deployment of new features on both vehicles and robotics platforms. Join us in shaping the future of mobility and robotics technology.

What You’ll Do

Leverage millions of miles of driving data and interventions to build robust and scalable end-to-end learning-based systems
Combine multiple data sources, including video, audio, thermal, mechanical, weather, and other sensors to develop and train end-to-end models for control of all vehicle accessories required for autonomous operation

Define data collection and annotation strategies for training and evaluation

Integrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet
Iterate on new features through simulation, validation, and fleet data analysis

What You’ll Bring

Proficiency in writing production quality code in Python, and experience with any major deep learning framework

Proficiency in modern C++ to integrate with vehicle firmware and take projects from ideas to shipped products

An "under the hood" knowledge of deep learning modern architectures, optimization, model alignment, etc

Ability to think “out-of-the-box" to push performance beyond apparent limitations

Excellent problem-solving, critical thinking, and communication skills

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

$120,000 - $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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