Machine Learning Engineer - Defense

We are looking for a Machine Learning Engineer to join our team at Applied Intuition Defense. The ideal candidate will have experience in developing, integrating, and maintaining real-time AI/ML solutions deployed across a range of heterogenous autonomous vehicles and different domains. The role requires proficiency in training ML models in PyTorch on multi-machine, multi-GPU systems, experience in optimizing and deploying machine learning models to edge devices, and a strong understanding of sensor physics and sensor parameters.

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