Posted 12 hours ago
ML Engineer
Applied IntuitionSensor Sim - ML Engineer
Requirements
Bachelor's degree in CS or Software Engineering, 5+ years ML software experience, Experience with large generative models, Agentic system design experience, Knowledge of 3D geometry or optical flow
Skills
Machine Learninggenerative AIRobotics
About the role
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
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or equivalent
- 5+ years of experience building software components or (sub) systems addressing 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 (IssacSim, MuJoCo, Omniverse, USD)
- Experience with applying synthetic data to machine learning tasks
- Hands on experience with characterization of models for Lidar, Radar, and Camera
About the Company
Applied Intuition is powering the future of physical AI, creating the digital infrastructure needed to bring intelligence to every moving machine on the planet across automotive, defense, trucking, construction, mining and agriculture industries.
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Applied Intuition · Sunnyvale
