RESPONSIBILITIES

• Develop computer vision algorithms for object detection, tracking, and classification that are robust to lighting and weather changes

• Collaborate with state estimation engineers and assist in developing robust feature detectors/ descriptors and large-scale 3-D maps

• Participate in end-to-end development: Training in Cloud to optimized deployment on embedded platforms

QUALIFICATIONS

• BS, MS or PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering or a related field

• Expertise in one or more areas: Image Processing, Geometric Computer Vision, Deep Learning (ideally CNNs), classical machine learning such as SVM, decision trees, boosting, graphical models, sequential prediction, or sampling methods

• Strong C++ programming and software design skills

• Familiarity with a deep learning framework such as PyTorch, TensorFlow, Caffe or Theano

• Proven track record - significant industry experience and/or publications at venues such as ICRA, RSS, IROS, or CVPR

BONUS

• Experience deploying CV/ML in a robot or real-time application

• Understanding of optimization of DL models and deployment on embedded platforms such as the Nvidia Jetson

• Experience in designing large-scale machine learning pipelines

BENEFITS

• Competitive Salary

• Catered lunches

• Never-Ending Snacks

• Equity

• New Gear

• Health Benefits

• Flexible Hours

• Vacation Time

• 401K

• Casual Work Attire

• Fun Events

• Sick Days

• Pet Friendly

• Learning and Development

       Opportunities

• Hackathons