What to Expect Tesla is building robust embodied intelligence through autonomous driving and humanoid robots. Core to reaching this goal is developing intelligent agents that see, move, and speak in the real world. In this role, you'll architect and deploy models that allow our agents to listen, understand, and respond in real time powered by our custom AI chip on our embodied products. Your work will be central to making Optimus or our cars as seamless as talking to a friend. Most importantly, you will see your work repeatedly shipped to and utilized by thousands of Humanoid Robots in real world applications and millions of cars.
Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly.
What You'll Do
Define long-term architectural vision and key milestones for speech-powered, expressive character systems
Design and develop low-latency, streaming-friendly neural models that integrate audio, language, and non-verbal cues
Implement multimodal models for robust speech-to-speech, emotion recognition, and expressive response generation
Drive the character-building lifecycle from research prototypes to polished, production-grade experience
Test your models E2E on robotic platforms
What You'll Bring
Strong software engineering practices and is very comfortable with Python and Numpy programming, debugging / profiling, and version control
Experience with speech-related machine learning tasks : ASR, emotion detection, speaker diarization, or multimodal input processing
Experience training and fine-tuning large-scale speech models, LLMs, or VLMs
Familiarity with real-time audio processing and latency-constrained systems
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$124,000 - $420,000 / 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.
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Machine Learning Engineer • Palo Alto, California, US