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  2. Autonomous Driving
Generative AI Engineer (Autonomous Driving)
Mountain View, United States
42dotFull-time

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 - 1st interview - 2nd interview - 3rd interview - Offer Negotiation - Hiring

  • Screening procedures may be operated differently for each job and may vary depending on the schedule and situation.

  • The screening schedule and results will be notified individually by email registered on the application form.

Additional Information

  • In accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume.

  • All documents must be submitted in PDF format and under 30MB in size.

  • If you experience issues uploading your resume, please send it along with the job posting URL to recruit@42dot.ai.

  • We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws.

  • Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA).

  • 42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement

  • 42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

※ Please review the following information before applying.

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