Role OverviewAs a Staff AI/ML Architect, you will own the end-to-end architecture of our applied-AI system, a hierarchical, multimodal stack in which a high-level model interprets sensory observations and produces structured intent, and a low-level policy turns that intent into precise, safe, real-time control. You will set the technical direction the rest of the AI/ML team builds against, define the interfaces between perception, reasoning, and control, and make the architecture decisions that let us move safely from offline research to real-time deployment.
What You Will Do
Define and own the end-to-end architecture for a hierarchical perception, reasoning, and control AI system. Specify the contracts between layers: model outputs, policy interfaces, timing budgets, and safety hooks, and keep them stable as components are swapped and upgraded.
Why It Might Be a Fit
This role calls for someone who is equally comfortable getting hands-on with models and data and designing systems that scale. You will partner across research, engineering, data, and product teams, mentor senior scientists/engineers and raise the engineering bar across the effort.
Requirements
- MS or PhD in CS, EE, Robotics, or a related field
- 10+ years building AI/ML models and algorithms for autonomous-systems software
- Deep experience with hierarchical, modular AI/ML or robot-learning stacks
- Strong grasp of real-time and safety-critical ML
- Hands-on expertise with modern deep learning and multimodal, vision-language, LLM-based architectures
- Fluency in one of PyTorch, TensorFlow, JAX, and in Python and C++
- Working knowledge of world-model and self-supervised predictive architectures
- Solid foundations in linear algebra, probability, and optimization
Benefits
- Competitive salary
- Annual bonus
- Equity
- Comprehensive benefits
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