Job Category | AI & Robotics |
---|---|
Location | Palo Alto, California |
Req. ID | 231772 |
Job Type | Full-time |
Build and improve our Python training infrastructure for stable and faster training
Build the tooling and infrastructure for reporting and visualizing model metrics and performance
Build the pipelines to run and validate our PyTorch models
Manage, analyze, and visualize our training and test datasets
Coordinate with the team managing the hardware cluster to maintain high availability / jobs throughput for Machine Learning
Build and improve tooling to deploy trained neural nets to Tesla hardware
Practical experience programming in Python and/or C++
Proficient in system-level software, particularly hardware-software interactions and resource utilization
Understanding of modern machine learning concepts and state of the art deep learning
Experience working with training frameworks, ideally PyTorch
Demonstrated experience scaling neural network training jobs across clusters of GPU’s
Optional: Previous experience in deep learning deployment
Optional: Profiling and optimizing CPU-GPU interactions (pipelining compute/transfers, etc)
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
$116,000 - $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.
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 .