Generative AI Engineer (Autonomous Driving)

We are looking for the best

We are seeking a skilled Generative AI Engineer to join our team in leveraging state-of-the-art video generation technologies to build high-fidelity datasets for training and validating autonomous driving systems. The successful candidate will have expertise in building multi-modal generative model training on large-scale dataset, while ensuring that the generated content adheres to physical laws. By joining our team, you will contribute to the development of cutting-edge autonomous driving technologies and help shape the future of transportation.

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 - 3rd 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
  
  

Please refer to the videos from KCCV 2022 and UMOS Day 2021 for insights into 42dot Autonomous Driving, our autonomous driving AI software.

Please upload all submission files in PDF format.

※ Please review the following information before applying.