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
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 :
2 medical plan options with $0 payroll deduction
Expected Compensation $132,000 - $390,000 / 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.
Machine Learning Engineer Ai • Palo Alto, CA, United States