ML Engineer

Responsibilities

• Drive research, development, and deployment of generative and other machine learning techniques into our sensor simulator.
• Work closely with rendering and physics-based modeling teams to build novel approaches fusing the best of all techniques.
• Focus on projects with a clear path to production value and customer impact.
• Apply state-of-the-art approaches to model worlds and sensors such as Lidars, Radars, and Cameras.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or equivalent.
• 5+ years of experience building software components or systems that address real-world machine learning challenges.
• Hands-on experience with evaluation and optimization for large generative models.
• Hands-on experience with agentic system design.
• Deep understanding of machine learning foundations.
• Understanding of 3D geometry, optical flow, or video generation.

Preferred Qualifications

• Experience working with Generative World Models (Cosmos, UniSim, sora-style architectures).
• Experience with robotics simulation products such as IsaacSim, MuJoCo, Omniverse, or USD.
• Experience applying synthetic data to machine learning tasks.
• Hands-on experience with the characterization of models for Lidar, Radar, and Camera.

About the Company

Applied Intuition is powering the future of physical AI. We are creating the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing the automotive, defense, trucking, construction, mining, and agriculture industries. Our solutions are trusted by eighteen of the top 20 global automakers and the United States military.