Sensor Simulation ML Engineer - Autonomy & Production AI

FDE Times

Sunnyvale (CA)

Presencial

USD 180.000 - 240.000

Jornada completa

14 días+

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Descripción de la vacante

Applied Intuition in Sunnyvale is seeking a software engineer to join our team working on the incorporation of modern machine learning approaches into production-grade sensor simulation. In this role you will work with our research team to apply state of the art approaches to model worlds and sensors such as Lidars, Radars and Cameras.

The position emphasizes delivering production-ready solutions, working with rendering and physics-based modeling teams, and focusing on projects with clear

Formación

  • Experience building software components for real-world ML challenges.
  • Ability turning domain knowledge into productivity tooling for autonomous systems.
  • Experience evaluating and optimizing large generative models.
  • Knowledge of 3D geometry, optical flow or video generation.

Responsabilidades

  • 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.

Conocimientos

5+ years ML software
Domain tooling for autonomous systems
Evaluation & optimization for large ML
Agentic system design
ML foundations expertise
3D geometry / optical flow / video gen

Educación

Bachelor's degree in Computer Science, Software Engineering, or equivalent

Descripción del empleo

Applied Intuition in Sunnyvale is seeking a software engineer to join our team working on the incorporation of modern machine learning approaches into production-grade sensor simulation. In this role you will work with our research team to apply state of the art approaches to model worlds and sensors such as Lidars, Radars and Cameras.

The position emphasizes delivering production-ready solutions, working with rendering and physics-based modeling teams, and focusing on projects with clear

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