Sensor Sim - ML Engineer
Applied Intuition5 months ago
Base Salary
$175k - $275k/yr
Responsibilities
- Drive research, development, and deployment of generative and other machine-learning techniques into the sensor simulator.
- Collaborate with rendering and physics-based modeling teams to fuse complementary simulation approaches.
- Develop projects with a clear path to production value and customer impact.
- Create tooling that improves the productivity of teams working on real-world autonomous-system applications.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
- At least 5 years of experience building software components or subsystems that address real-world machine-learning challenges.
- Hands-on experience evaluating and optimizing large generative models.
- Hands-on experience with agentic system design.
- Deep understanding of machine-learning foundations and the ability to apply varied techniques to new problems.
- Understanding of 3D geometry, optical flow, or video generation.
- Experience with generative world models such as Cosmos, UniSim, and Sora-style architectures is preferred.
- Experience with robotics simulation products such as IssacSim, MuJoCo, Omniverse, or USD is preferred.
- Experience applying synthetic data to machine-learning tasks is preferred.
- Hands-on experience characterizing models for LiDAR, radar, and camera sensors is preferred.
Benefits
- In-office role with employees primarily working from the Applied Intuition office 5 days per week, with occasional remote-work flexibility.
- Comprehensive health, dental, vision, life, and disability insurance.
- 401(k) retirement benefits with employer match.
- Learning and wellness stipends.
- Paid time off.
- Equity may be included in the total compensation package.