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.

Qualifications

• 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

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

Interview Process

• Application Review - Coding Test - 1st Interview - 2nd Interview - Offer
• The process may vary by position and is subject to change
• Schedule and results will be communicated via the email provided in your application