Machine Learning Leadership Position
4 days ago
About Applied Intuition
">At Applied Intuition, we accelerate the adoption of safe and intelligent machines worldwide by delivering innovative vehicle software solutions. Our AI-powered ADAS/AD toolchain, vehicle platform, and autonomy stack help customers shorten their time-to-market, build high-quality systems, and create next-generation consumer experiences. With 18 of the top 20 global automakers trusting our solutions, we serve the automotive, trucking, construction, mining, agriculture, and defense industries.
We're headquartered in Mountain View, CA, with offices in Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.
Job Description
We're seeking a Technical Director for Autonomous Systems to set the technical direction, execute with a team of machine learning and software engineers, and scale state-of-the-art products focused on ML system development. This team enables ML developers across autonomy programs to develop performant autonomy models using simulation at scale. You'll work directly with customers, conduct and publish groundbreaking research, and apply the latest in machine learning and software design to our solution.
Build a category-leading set of data products
Manage a team of talented software engineers working together to solve real-world data and machine learning challenges in autonomy
Set the technical direction of the team and ensure your team delivers high-quality software
Work directly with top autonomy programs on problems in applied machine learning
We're looking for someone with:
A MSc or PhD degree in computer science, robotics or related fields from a top institution
4+ years industry experience in software engineering using C++ or Python
2+ years experience in leading teams with varied backgrounds
Demonstrated experience leading teams in developing cutting-edge software products in the autonomy space
Proven track record of picking the right technologies to invest in, and seeing complex projects through to the finish line
Experience with 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
Benefits
This role includes a competitive annual salary range of $204,000 - $343,000 USD, comprehensive health insurance, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off.
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