What you will do 

• Develop computer vision and machine learning algorithms for creating and understanding of maps in dynamic environments 

• Work at the intersection of traditional computer vision and machine learning to improve and enrich indoor robot maps  

• Develop and deploy algorithms for desktop and embedded platforms, in C/C++ and other languages 

• Conduct research and development in computer vision, map understanding, semantic understanding of scenes, and related disciplines 

• Design, execute, and analyze data from experiments  

• Lead feature and technology development teams 

• Collaborate with cross-functional teams to develop systems from prototypes to production 

 To Be Successful You Will Have 

• Ability to program in C/C++  

• Solid understanding of the state-of-the-art in computer vision and machine learning  

• Demonstrated experience in applications such as 3D reconstruction, 3D understanding of scenes, room layout estimation, depth estimation, or semantic segmentation 

• Ability to design experiments, analyze data sets, and validate solutions for new problems 

• Experience developing new computer vision solutions from publications in conferences such as CVPR, ICCV, ECCV, NeurIPS

• Understanding of data structures, design patterns, and advanced programming techniques 

• Ph.D. in Computer Science or related fields 

In Return You Can Expect 

• To work on exciting problems in computer vision and semantic maps, and deploy solutions to the world’s largest installed base of consumer robots 

• Be an integral part of a team dedicated to building the next generation of robots  

• Opportunities to continuously learn, collaborate with, and mentor our innovative and knowledgeable technical staff including leading scientists in computer vision, machine learning, and SLAM. 

• An attractive salary package with good benefits 

• Excellent career growth opportunities