Applied AI Engineer – Foundation Models
| Company | Kodiak Robotics |
|---|---|
| Location | Mountain View, CA, USA |
| Salary | $150000 – $250000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Junior, 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 in transformers, contrastive learning, or large-scale model architectures
- Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
- Strong understanding of self-supervised learning and scalable AI training techniques
- Passion for advancing AI that continuously improves through data-driven learning
Responsibilities
- Develop foundation models that generalize across diverse real-world environments
- Build scalable training and fine-tuning pipelines to improve performance and efficiency
- Leverage self-supervised learning and multimodal architectures for robust AI understanding
- Optimize models for deployment in dynamic, real-time AI systems
- Collaborate with engineering teams to apply foundation models in real-world autonomy
Preferred Qualifications
-
No preferred qualifications provided.