Machine Learning Engineer at Applied Intuition Defense developing, integrating, and maintaining real-time AI/ML solutions deployed across a range of heterogenous autonomous vehicles and different domains. Responsible for designing, developing, and integrating AI/ML models to interface across different platforms, processing data in real-time with real military operators in the loop.
Requirements
- MS or PhD in Computer Engineering, Robotic Engineering, Computer Science, or equivalent
- 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
- Adeptness with remote software development, the ability to handle and process large datasets, and a capacity to learn new software and algorithms as needed with little supervision
Benefits
- Comprehensive health, dental, vision, life and disability insurance coverage
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off