Machine Learning Engineer, Applied Intuition

• While experience in machine learning is required, candidates with a background in perception or other relevant physics or graphics fields are encouraged to apply
• 3+ years of experience building software components or (sub) systems that address real-world machine learning challenges
• A passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems
• Hands-on experience with more than one domain relevant software frameworks or tools, such as middleware, benchmarking suites, data sets and related pipelines, or common AI libraries
• Deep understanding of machine learning foundations who can apply various techniques to new problems
• Experience working with production level ML and DL perception algorithms

Desirable

• We are looking for a software engineer to join our team working on the incorporation of modern machine learning approaches into production-grade sensor simulation
• In this role you will work with our research team to apply state of the art approaches to model worlds and sensors such as Lidars, Radars and Cameras
• Drive research and development of incorporation of generative and other machine learning techniques into our sensor simulator
• Work closely with rendering and physics-based modeling teams in building novel approaches fusing the best of all techniques
• Focus on projects with clear path to production value and customer impact