Applied Intuition
Overview
AI/ML Engineer - Defense at Applied Intuition Defense. You will be pivotal in developing, integrating, and maintaining real-time AI/ML solutions deployed across a range of heterogeneous autonomous vehicles and 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 various hardware platforms. You will rapidly design, develop, and integrate 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 to Applied Intuition’s AI resources. Responsibilities
Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to process aerial imagery across platforms and sensor types (e.g., EO, IR). Collaborate with Applied Intuition commercial product staff to leverage top AI talent and resources. Scale datasets using 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 with hardware, sensor, tracking, autonomy, and testing teams to ensure seamless deployment in on-site DoD testing and demonstrations. Leverage software-in-the-loop and hardware-in-the-loop testing and profiling to collect performance data. Interact with DoD customers to understand use cases and requirements, triaging needs during field events to deliver a superior customer experience. Qualifications
MS or PhD in Computer Engineering, Robotic Engineering, Computer Science, or equivalent, OR 5+ years of relevant experience 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 proficiency 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 robust, well-tested systems. Adeptness with remote software development, ability to handle large datasets, and capacity to learn new software and algorithms with minimal supervision. Nice to have
PhD in Computer Vision, Machine Learning, or related field with strong academic contributions. 5+ years of experience building and deploying perception models on real-world hardware. Experience generating datasets using simulation engines like Unreal Engine, NVIDIA Omniverse, or Blender. Experience deeply optimizing Transformer-based models for edge devices (e.g., NVIDIA Jetson). Proficiency in modern C++ (2020/2023), CMake, Conan. Familiarity with Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL), including integration and test experience on common COTS hardware (e.g., NVIDIA Jetson, Raspberry Pi5, M.2 accelerators). Willingness to relocate to facilities near Destin, FL, Washington, D.C., or San Diego, CA. Travel Requirements
Must be willing to travel as projects require, usually for SW/HW integration and/or demonstrations; estimated 2–5 days every other month (10-20%). Security Requirements
Must be a U.S. Citizen. Must hold or be eligible for a U.S. Secret security clearance. For more information about U.S. security clearances: click here. Compensation
Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a component of the total compensation package, which may also include equity in the form of options and/or RSUs, comprehensive health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, and paid time off. Benefits are subject to change and may vary by jurisdiction. The base salary range for the listed location is: $130,000 to $200,000 USD annually. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. See the full EEO notice in the job posting for details.
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AI/ML Engineer - Defense at Applied Intuition Defense. You will be pivotal in developing, integrating, and maintaining real-time AI/ML solutions deployed across a range of heterogeneous autonomous vehicles and 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 various hardware platforms. You will rapidly design, develop, and integrate 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 to Applied Intuition’s AI resources. Responsibilities
Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to process aerial imagery across platforms and sensor types (e.g., EO, IR). Collaborate with Applied Intuition commercial product staff to leverage top AI talent and resources. Scale datasets using 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 with hardware, sensor, tracking, autonomy, and testing teams to ensure seamless deployment in on-site DoD testing and demonstrations. Leverage software-in-the-loop and hardware-in-the-loop testing and profiling to collect performance data. Interact with DoD customers to understand use cases and requirements, triaging needs during field events to deliver a superior customer experience. Qualifications
MS or PhD in Computer Engineering, Robotic Engineering, Computer Science, or equivalent, OR 5+ years of relevant experience 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 proficiency 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 robust, well-tested systems. Adeptness with remote software development, ability to handle large datasets, and capacity to learn new software and algorithms with minimal supervision. Nice to have
PhD in Computer Vision, Machine Learning, or related field with strong academic contributions. 5+ years of experience building and deploying perception models on real-world hardware. Experience generating datasets using simulation engines like Unreal Engine, NVIDIA Omniverse, or Blender. Experience deeply optimizing Transformer-based models for edge devices (e.g., NVIDIA Jetson). Proficiency in modern C++ (2020/2023), CMake, Conan. Familiarity with Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL), including integration and test experience on common COTS hardware (e.g., NVIDIA Jetson, Raspberry Pi5, M.2 accelerators). Willingness to relocate to facilities near Destin, FL, Washington, D.C., or San Diego, CA. Travel Requirements
Must be willing to travel as projects require, usually for SW/HW integration and/or demonstrations; estimated 2–5 days every other month (10-20%). Security Requirements
Must be a U.S. Citizen. Must hold or be eligible for a U.S. Secret security clearance. For more information about U.S. security clearances: click here. Compensation
Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a component of the total compensation package, which may also include equity in the form of options and/or RSUs, comprehensive health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, and paid time off. Benefits are subject to change and may vary by jurisdiction. The base salary range for the listed location is: $130,000 to $200,000 USD annually. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. See the full EEO notice in the job posting for details.
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