Machine Learning Engineer - Defense at Applied Intuition Defense. Develop, integrate, and maintain real-time AI/ML solutions deployed across a range of heterogenous autonomous vehicles and different domains.
Requirements
- MS or PhD in Computer Engineering, Robotic Engineering, Computer Science, or equivalent OR 5+ years of relevant experience working with simulation, machine learning, and ML infrastructure
- Proficiency in training ML models in PyTorch on multi-machine, multi-GPU systems
- Experience in optimizing and deploying machine learning models to edge devices
- Strong Python knowledge and high capability in C++
- A core understanding of sensor physics and sensor parameters
- Experience leveraging modern AI-powered development tools (e.g., GitHub Copilot, Cursor) to accelerate the creation of robust, well-tested systems
Benefits
- Comprehensive health, dental, vision, life and disability insurance coverage
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off