Job Description
A research-focused role in autonomous driving technology, involving developing and deploying machine learning models for planning and prediction systems, with opportunities for hands-on experimentation and collaboration within a behavior team at a self-driving technology company.
Key Responsibilities
- Develop scalable machine learning-based planning and prediction systems for autonomous driving.
- Analyze autonomy system performance, data quality, and feature representations to improve models.
- Implement, train, test, and deploy machine learning models on real-world vehicles.
- Conduct experiments, analyze results, and present findings to the team.
- Research advanced machine learning methods such as imitation learning, reinforcement learning, and generative modeling for autonomous driving.
Requirements
- Currently pursuing a B.S. or M.S. in Computer Science, Robotics, Mathematics, or a related engineering field.
- Excellent programming proficiency in Python and a strong understanding of object-oriented programming.
- Solid grasp of fundamental computer science concepts, including data structures, algorithms, and software design.
- Experience with C is a plus.
- Strong foundational knowledge of machine learning concepts, e.g., supervised, unsupervised learning, and model evaluation.
- Hands-on experience with at least one major deep learning framework such as PyTorch, TensorFlow, or JAX.
- Demonstrated knowledge in ML systems and infrastructure, with experience in training optimization, compiler acceleration, quantization, and efficient deployment of high-performance models is a strong plus.
- Demonstrated ability to build projects, shown through coursework, personal projects (e.g., on GitHub), or previous internship.
- A collaborative, curious, and proactive mindset paired with strong technical communication skills.
- Eager to learn and contribute as a team player.
- Currently pursuing a Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a closely related field.
- A clear research focus in one or more of the following areas: generative and/or diffusion modeling, sequential decision making, Imitation Learning, Deep Reinforcement Learning, large models pre-training and fine-tuning, or machine learning for robotics.
- A deep understanding of the theoretical underpinnings of modern machine learning.
- Strong programming skills in Python for rapid prototyping and experimentation with complex ML models.
- Experience with C is a plus.
- A track record of research, with publications in top-tier conferences such as NeurIPS, ICLR, ICML, CVPR, RSS, or CoRL.
- Intellectual curiosity, attention to detail, persistence, and the ability to work both independently and collaboratively within a research-oriented team.
- Strong technical communication skills.
Benefits & Perks
Compensation/salary range: between 11,500 and 14,000 per month
Work schedule: internship duration of 6 months preferred
Work environment perks: collaborative team environment, inclusive and diverse workplace, psychological safety
Additional benefits: opportunities to work on real-world autonomous driving systems, exposure to cutting-edge AI and machine learning research, chance to contribute to impactful autonomous vehicle technology
Ready to Apply?
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