Machine Learning Perception Software Engineer
About The Position
About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, 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. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About the role Develop and optimize machine learning models for object detection, segmentation, tracking, and scene understanding Work with sensor data to build robust perception pipelines Analyze and curate datasets for model training, validation, and testing Design scalable training and evaluation pipelines Collaborate with cross-functional teams in autonomy, systems, and simulation to integrate perception modules Perform error analysis and implement improvements in model performance and reliability Keep up to date with the latest research in computer vision and machine learning
Requirements
- Must have a Bachelor’s Degree in Computer Science, Computer Engineering, Electrical Engineering, or similar
- 18 months of experience as a Machine Learning Engineer or an Autonomy Engineer for robotics at a technology company
- 1 year of experience using C++, Python, CUDA, and deep neural network packages (Pytorch, Onnx, TensorRT)
Responsibilities
- Develop and optimize machine learning models for object detection, segmentation, tracking, and scene understanding
- Work with sensor data to build robust perception pipelines
- Analyze and curate datasets for model training, validation, and testing
- Design scalable training and evaluation pipelines
- Collaborate with cross-functional teams in autonomy, systems, and simulation to integrate perception modules
- Perform error analysis and implement improvements in model performance and reliability
- Keep up to date with the latest research in computer vision and machine learning
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
