Applied AI Engineer – Multimodal AI
| Company | Kodiak Robotics |
|---|---|
| Location | Mountain View, CA, USA |
| Salary | $150000 – $250000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Mid Level |
Requirements
- BS, MS, or PhD in AI, Computer Science, or a related field, or at least 2-3 years of industry experience
- Experience developing multimodal AI models that integrate LiDAR, radar, and camera data
- Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
- Strong understanding of temporal learning techniques and sequence modeling
- Passion for building AI that understands the world holistically
Responsibilities
- Develop multimodal AI models that integrate sensor data across time and space
- Build spatio-temporal architectures that improve long-term AI reasoning
- Research self-supervised and contrastive learning techniques to enhance adaptability
- Optimize AI models for efficient, real-time inference in dynamic environments
- Work with large-scale datasets to refine multimodal learning pipelines
Preferred Qualifications
-
No preferred qualifications provided.