Generative AI Engineer – Autonomous Driving
| Company | 42dot |
|---|---|
| Location | Mountain View, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Advanced degree (Ph.D.) or significant industry experience in Computer Science, Electrical Engineering, Robotics, or a related field.
- Strong background in machine learning, data science, and advanced programming skills (Python, TensorFlow, PyTorch, etc.)
- Extensive experience with modern generative AI models, particularly diffusion, transformer, or other architectures relevant to text-to-video generation.
Responsibilities
- Train and fine-tune multi-modal generative models on large-scale datasets, leveraging diffusion-based training and transformer architectures.
- Ensure that generated data meets specific requirements for visual plausibility and fidelity to physical laws.
- Work closely with the autonomous driving team to understand their requirements and exploit the generated dataset for training and validating autonomous driving systems.
Preferred Qualifications
- Experience working on autonomous driving projects or related fields, such as robotics or computer vision, is highly valued.
- Strong background in computer vision, machine learning, or a related field.
- Experience with large-scale generative models using transformers and diffusion-based training techniques is highly desirable.
- Proven problem-solving skills with the ability to analyze complex data problems and develop innovative solutions that drive business outcomes.
- Knowledge of physics-based simulations and their application to video generation.
- Proven ability to work on complex projects and collaborate with cross-functional teams.