Machine Learning Engineering Director

2 days ago


Mountain View, California, United States Applied Intuition Full time

Welcome to Applied Intuition

We are a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, we deliver AI-powered ADAS/AD toolchains, vehicle platforms, and autonomy stacks to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences.

Role Overview

This is a key leadership position where you will set the technical direction for our ML systems and execute with a team of talented software engineers. You will work directly with top autonomy programs to solve real-world challenges using simulation at scale.

Your responsibilities will include:

  • Building a category-leading set of data products
  • Managing a team of skilled software engineers working together to solve complex data and machine learning challenges
  • Setting the technical direction of the team and ensuring high-quality software delivery
  • Working directly with top autonomy programs on problems in applied machine learning

We're seeking a candidate with:

  • A MSc or PhD degree in computer science, robotics, or related fields from a top institution
  • 4+ years of industry experience in software engineering using C++ or Python
  • 2+ years of experience leading teams with diverse backgrounds
  • Demonstrated experience leading teams in developing cutting-edge software products in the autonomy space
  • Proven track record of selecting the right technologies and seeing complex projects through to completion
  • Experience training ML models and strong ML fundamentals

Nice to have:

  • Strong knowledge of common sensor modalities (radar, lidar, and cameras) and perception tasks in autonomy
  • Experience building scalable systems in the cloud

Our estimated annual salary range for this position is $204,000 - $343,000 USD, which includes base salary, equity, and comprehensive benefits.

We value diversity and inclusion and are an equal opportunity employer and federal contractor or subcontractor.



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