AI/ML Engineer, Applied Intuition

• 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
• 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
• Must be a U.S. Citizen
• Must hold or be eligible for a U.S. Secret security clearance

Desirable

• As an AI/ML Engineer at Applied Intuition Defense, you will be pivotal in developing, integrating, and maintaining real-time AI/ML solutions deployed across a range of heterogenous autonomous vehicles and different domains (e.g. , land, air, sea, and space)
• You will work with a team to continuously add capability and demonstrate the solution to customers in real-world scenarios on a variety of hardware platforms
• You will be responsible for rapidly designing, developing, and integrating AI/ML models to interface across different platforms, processing data in real-time with real military operators in the loop
• Your work will span the MLOps pipeline, improving ingestion and tooling, labeling and autolabeling, model architectures, training, evaluation and validation, inference-time optimization, and inference service deployment
• You will have access to large training clusters with the latest GPUs, and the best AI talent and knowledge in the industry through Applied Intuition commercial ML
• Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to process aerial imagery across a variety of platforms and sensor types (e.g. EO, IR)
• Work with the best and most competitive AI talent in the world through collaboration with Applied Intuition commercial product staff
• Scale up datasets using a variety of state-of-the-art data generation techniques including simulation, diffusion, and gaussian splats
• Create inference software providing low-latency, real-time feedback to autonomy software on-board live platforms
• Collaborate across the hardware, sensor, tracking, autonomy, and testing teams to ensure seamless deployment in on-site DoD testing and demonstration events
• Leverage software-in-the-loop and hardware-in-the-loop testing and profiling to collect performance data
• Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience