Job Description
At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
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
5+ years of industry experience
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
Hayden AI’s mission is to develop artificial intelligence and machine learning technologies for automated enforcement of dedicated bus lanes and bus stops, to speed up public transit, make streets safer, and create a more sustainable future.
