Machine Learning Engineer, Integration, AI Platforms
Description For Machine Learning Engineer, Integration, AI Platforms
Tesla, a pioneer in autonomous vehicles and humanoid robotics, is seeking a Machine Learning Engineer for Integration within their Autonomy teams. This role focuses on developing AI-based solutions for FSD accessory controls and vision-based solutions for vehicle systems enhancement. The position offers an opportunity to work with cutting-edge technology in autonomous driving and robotics, leveraging millions of miles of driving data to build robust systems.
The role involves working directly with vehicle hardware and firmware teams, combining multiple data sources including video, audio, thermal, and mechanical sensors to develop end-to-end models. You'll be responsible for shipping production-quality, safety-critical software to Tesla's entire vehicle fleet and iterating on features through simulation and validation.
The ideal candidate should have strong expertise in Python and C++, deep understanding of modern deep learning architectures, and the ability to think innovatively. This position offers competitive compensation ranging from $120,000 to $360,000 annually, plus additional benefits including comprehensive healthcare, 401(k) with employer match, and equity opportunities.
Join Tesla in shaping the future of mobility and robotics technology, working on projects that directly impact customer safety and experience. This role provides an unique opportunity to contribute to the development and deployment of new features on both vehicles and robotics platforms, making a significant impact in the automotive and AI industry.
Responsibilities For Machine Learning Engineer, Integration, AI Platforms
- Leverage millions of miles of driving data and interventions to build robust and scalable end-to-end learning-based systems
- Combine multiple data sources to develop and train end-to-end models for control of vehicle accessories
- Define data collection and annotation strategies for training and evaluation
- Integrate directly with vehicle firmware and ship production quality, safety-critical software
- Iterate on new features through simulation, validation, and fleet data analysis
Requirements For Machine Learning Engineer, Integration, AI Platforms
- Proficiency in writing production quality code in Python
- Experience with any major deep learning framework
- Proficiency in modern C++ to integrate with vehicle firmware
- Knowledge of deep learning modern architectures, optimization, model alignment
- Ability to think out-of-the-box to push performance beyond apparent limitations
- Excellent problem-solving, critical thinking, and communication skills
Benefits For Machine Learning Engineer, Integration, AI Platforms
- Aetna PPO and HSA plans with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental and vision plans with $0 paycheck contribution
- Company Paid HSA Contribution
- Healthcare and Dependent Care Flexible Spending Accounts
- 401(k) with employer match
- Employee Stock Purchase Plans
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time
- Back-up childcare and parenting support resources
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
