We are seeking a skilled Generative AI Engineer to join our team in leveraging stateoftheart video generation technologies to build highfidelity datasets for training and validating autonomous driving systems. The successful candidate will have expertise in building multimodal generative model training on largescale dataset while ensuring that the generated content adheres to physical laws. By joining our team you will contribute to the development of cuttingedge autonomous driving technologies and help shape the future of transportation.
Responsibilities
Train and finetune multimodal generative models on largescale datasets leveraging diffusionbased 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 texttovideo 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 largescale generative models using transformers and diffusionbased training techniques is highly desirable
Proven problemsolving skills with the ability to analyze complex data problems and develop innovative solutions that drive business outcomes
Knowledge of physicsbased simulations and their application to video generation
Proven ability to work on complex projects and collaborate with crossfunctional teams
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