About the role
The team develops reasoning and cognition models for autonomous platforms. The engineer designs, implements, and evaluates these models, making tradeoffs between different AI approaches. This involves building training workflows, defining evaluation metrics, and diagnosing model failures to improve performance.
Our summary of the posting; the original is on the Shield AI careers page.
What the posting requires
- Required
- Foundation models
- Self-supervised learning
- AI
- PyTorch
- Multimodal models
- Robotics algorithms
- NVIDIA Jetson
- Deep learning
- Supervised fine-tuning
- Preferred
- Optimizing ML models
- Distributed systems
- High-fidelity simulation
- Deploying ML models
- Rigid body dynamics
- Resource-constrained hardware
These tags are our reading of the posting. They can miss something; the original posting is the reference.