As a Staff Applied Scientist, Machine Learning - Perception, you drive impact focused projects that address the everyday challenges that happen on urban roads, ones that do not have standard solutions available.

What you'll be doing:

• On the research end, the Applied Scientist explores, prototypes, validates, and iterates new algorithm
• On the development end, the Applied Scientists optimizes, productionizes, and monitors / refines on-road performance for their models
• Identify problems in the perception stack
• Initiate and lead new projects
• Considered one of the technical leaders of the department who guides current and future technology choices
• Have a deep understanding of the business and operational impact for different technology tradeoffs, and able to balance effectively based on company’s need
• Enable others engineers on the team to be more effective through design and code that is easy to extend and contribute into
• Capable of influencing others and building consensus even over contentious technical debates

What you must have:

• PhD / MS degree in computer vision, machine learning or a related field with multiple research publications in top conferences or journals; alternatively equivalent years of industry experience solving ML/CV problems which do not have readily-available solutions. For MS-degree holder, proof of research-leadership in the form of multiple first-author publications in tier-1 ML/CV conferences- NeurIPS, CVPR, ICML, ICCV, ICLR etc. and 2+ years of industry experience in a research-focussed job after completing MS degree.
• Expertise in at least one of these specific areas: 2D/3D object detection, semantic / instance segmentation, fine-grained attribute understanding, human pose / gesture recognition, image sequence / semantics understanding, image embedding, visual/LIDAR-based tracking, multi-object tracking, and vision-based behavior prediction
• Track record of driving ML research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization
• Strong programming skills in Python and/or C++
• Strong verbal and written communication skills