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BOND Sensor Simulation Machine Learning Engineer
Posted Updated 5
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Summary
Applied Intuition is hiring a Sensor Simulation ML Engineer in Sunnyvale to research, develop, and deploy generative and machine learning techniques for a sensor simulator covering lidar, radar, and cameras. Day to day, they collaborate with rendering and physics-based modeling teams on combined approaches and ship production-focused features with customer impact.
You will research, develop, and deploy generative and other machine learning techniques in a sensor simulator. You will work with research, rendering, and physics-based modeling teams to build approaches for modeling worlds and sensors, including lidar, radar, and cameras. You will focus on work that delivers production value and customer impact.
Responsibilities
- Drive research, development, and deployment of generative and machine learning techniques in sensor simulation
- Work with rendering and physics-based modeling teams to build combined approaches
- Develop production-focused projects with customer impact
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or equivalent
- 5+ years of experience building software components or systems for real-world machine learning challenges
- Evaluation and optimization of large generative models
- Agentic system design
- Machine learning foundations
- 3D geometry, optical flow, or video generation
Benefits
- Equity
- Health insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- 401k retirement plan with employer match
- Learning stipend
- Wellness stipend
- Paid time off
