Sensor Sim - Ml Engineer

Applied Intuition

Sunnyvale, California, United States
Base: $125,000 - $222,000 usd annually; equity: op...
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Generative and machine learning techniques
Evaluation and optimization of large generative models
Agentic system design experience
** Applied Intuition is seeking an experienced Machine Learning Engineer to contribute to the integration of cutting-edge machine learning techniques into sensor simulations. The ideal candidate will have a strong technical background in software engineering, especially in addressing real-world challenges in machine learning, and will work closely with various teams to deliver impactful solutions for autonomy in multiple industries. **

Job Summary

  • Applied Intuition is creating digital infrastructure to bring intelligence to every moving machine on the planet.
  • This role involves driving research and deployment of generative ML techniques into production-grade sensor simulators.
  • The position offers a competitive compensation package including base salary, equity, and comprehensive benefits.

Matching Summary

Match Score: 75

** Applied Intuition is seeking an experienced Machine Learning Engineer to contribute to the integration of cutting-edge machine learning techniques into sensor simulations. The ideal candidate will have a strong technical background in software engineering, especially in addressing real-world challenges in machine learning, and will work closely with various teams to deliver impactful solutions for autonomy in multiple industries. **

Salary

Base: $125,000 - $222,000 USD annually; Equity: Options and/or restricted stock units included; Benefits: Comprehensive health, dental, vision, 401k match, and stipends

Skills & Requirements

Must-have

  • Generative and machine learning techniques
  • Evaluation and optimization of large generative models
  • Agentic system design experience
  • Deep understanding of machine learning foundations
  • Understanding of 3D geometry, optical flow, or video generation

Nice-to-have

  • Experience with Generative World Models like Cosmos or UniSim
  • Experience with robotics simulation products like IsaacSim or Omniverse
  • Experience applying synthetic data to machine learning tasks
  • Hands-on characterization of Lidar, Radar, and Camera models

Key Requirements

  • Bachelor's degree in Computer Science or equivalent
  • 5+ years of experience building software for real-world ML challenges
  • Passion for turning domain expertise into productivity tooling

Work Rights

Not specified

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