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Examplecorpsandbox in Austin, Texas is seeking a skilled Machine Learning Engineer to help develop advanced robotics and self-driving systems. The role involves leveraging extensive driving data to create efficient learning-based models, and requires strong expertise in Python and deep learning frameworks. This position also offers a comprehensive benefits package and a competitive salary ranging from $140,000 to $360,000 annually.
The successful candidate will integrate directly with vehicle firmware and contribute to production-quality software, enhancing the capabilities of Tesla’s offerings. We encourage all qualified candidates to apply.
Tesla is looking for strong Machine Learning Engineers to help build foundation models for robotics to drive the future of autonomy across all current and future generations of vehicles. You will work on a lean team without boundaries and have access to one of the world’s largest training clusters. Most importantly, you will see your work repeatedly shipped to and utilized by millions of Tesla’s customers.
Along with competitive pay, as a full‑time Tesla employee, you are eligible for the following benefits at day 1 of hire:
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.