2 months ago
Base Salary
$189k - $311k/yr
Responsibilities
- Research and prototype next-generation Vision-Language-Action architectures and scalable multimodal foundation models for autonomous driving.
- Develop world-model approaches for predictive driving intelligence, including future-state prediction, behavior forecasting, counterfactual simulation, and traffic-interaction modeling.
- Research long-horizon planning, reasoning, memory, and goal-driven autonomous driving agents for open-world environments.
- Read, implement, and extend recent AI research and contribute research prototypes toward production deployment.
- Collaborate across distributed, cross-functional, and cross-cultural teams in Silicon Valley and Korea.
Requirements
- Master’s or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field, or equivalent practical experience.
- Strong hands-on experience with deep learning frameworks such as PyTorch or JAX.
- Understanding of foundation models, multimodal learning, or transformer-based architectures.
- Experience training or fine-tuning large-scale vision, language, or multimodal models.
- Strong software engineering skills and experience with large-scale data pipelines.
- Ability to implement and extend ideas from recent AI research papers and collaborate effectively across teams.
Tech Stack
Categories
About 42dot
42dot builds software-defined vehicle and autonomous mobility platforms for automakers and mobility service providers. Its products include AI-driven vehicle software, data-based update services, and core platform components such as API gateways and identity/access management to connect services securely. The privately held company is headquartered in Seongnam-si, Gyeonggi-do, and focuses on transportation and automotive markets.