Machine Learning Software Engineer

Responsibilities

• Design and implement capabilities and workflows for cutting-edge real-world perception or planning/prediction systems
• Leverage established products at Applied Intuition to build the software and infrastructure foundation for ML developments
• Contribute to the development of ML-first perception, prediction, or planning capabilities for autonomous vehicle stacks and mobile robots

Requirements

• Experience with the end-to-end development cycle of deep learning models
• 3+ years of experience building production software using modern software practices
• Fluency in C++, or fluency in Python with intermediate experience in C++
• Experience working with production-level ML and DL perception algorithms for autonomous vehicles
• Deep understanding of the concepts and methods behind the frameworks and libraries used

Preferred Qualifications

• MSc or PhD in machine learning, ideally applied to perception, prediction, or planning
• Experience building and shipping software frameworks or tools
• Experience with driver assistance or autonomous driving systems
• Experience in evaluating and improving system-in-the-loop model performance
• Expertise in non-linear optimization, computational geometry, numerical analysis, or distributed systems

Benefits

• Lunch and dinner allowance
• Annual fitness stipend ($600 USD)
• Annual learning stipend ($1,000 USD)
• Stock options

About the Company

Applied Intuition is powering the future of physical AI. We are creating the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing the automotive, defense, trucking, construction, mining, and agriculture industries.