Machine Learning Engineer – Integration – AI Platforms
| Company | Tesla |
|---|---|
| Location | Palo Alto, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level |
Requirements
- 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
Responsibilities
- 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
Preferred Qualifications
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No preferred qualifications provided.