As a Staff Applied Scientist in the Detectron team within 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-focused job after completing MS degree.
• Expertise in at least one of these specific areas: 2D/3D object detection, semantic / instance / panoptic segmentation, transformers, multi-modal computer vision, 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

Bonus points!

• PhD in machine learning, computer vision, or robotics vision
• 5+ years of experience in Machine Learning
• Experience and growing expertise with ROS, OpenCV, Gazebo, CUDA,or PCL
• Experience using deep-learning frameworks, e.g., TensorFlow, PyTorch, etc
• Experience in deploying perception algorithms and models into real-world environments
• Experience and growing expertise with autonomous driving technologies

The salary range for this position is $183,600 - $270,000. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.