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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
SunnyvaleCaliforniaUSA
Job type
Artificial Intelligence
Posted
Aug 21, 2023
Salary
$215,000–$285,000 a year
Full-time

Senior Software Engineer - ML Infrastructure

Job description

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.;

Job responsibilities

  • Design and implement distributed cloud GPU training approaches for deep learning model training and evaluation
  • Build end-to-end machine learning pipelines and integrate them into core product workflows
  • Encourage change, especially in support of ML engineering best practices, and maintain a high standard of excellence
  • Collaborate with engineers across the entire company to solve complex data problems at scale

Job requirements

  • A Bachelor's degree in Computer Science, Software Engineering, or equivalent
  • 3+ years of professional experience
  • Experience with building software components to address production, full-stack machine learning challenges. This is not purely a research problem
  • Opinions about building a company-wide platform for ML training, evaluation, and deployment
  • Knowledge of the open source landscape with judgment on when to choose open source versus build in-house
  • Excellent analytical and problem-solving skills

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