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Applied Intuition

7 months ago

Engineering Manager ML Platform and Infrastructure

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Company information

Company
Applied Intuition
Location
Sunnyvale United States
Posted
7 months ago
View all jobs at Applied Intuition

Job description

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

About the role

As an Engineering Manager on the ML Platform team, you'll lead a world-class group of engineers focused on building and maintaining our machine learning platform. This includes developing and refining our infrastructure, tools, and processes to support the growth of our AI capabilities. You will be responsible for managing a team of engineers, providing technical guidance, and ensuring that projects are completed efficiently and effectively.

  • Lead a team of engineers in building and maintaining our machine learning platform
  • Develop and refine infrastructure, tools, and processes to support the growth of AI capabilities
  • Manage a team of engineers, providing technical guidance and ensuring project completion

Required skills

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