Senior Computer Vision Engineer ?- 2D / 3D Image Segmentation & Machine Learning (Boston) - Essess Inc

Essess (www.essess.com) is the leader in thermal mobile data acquisition across the building, navigation, and utility infrastructure sectors. We are seeking a motivated Computer Vision and Machine Learning Engineer to be key part of our fast-paced product development team. The Senior Computer Vision Engineer will design and build systems capable of identifying building, utility, and transit infrastructure assets from large data sets of high-resolution 2D imaging and 3D point cloud data.
The ideal candidate will have expertise or experience in 2D image processing and computer vision, 3D point cloud data, machine learning, and will bring an analytical approach to solving complex real-world problems.
You will:
- Design and implement computer vision systems to characterize and classify building, utility and transport infrastructure assets using thermal, night-vision and 3D point cloud data
- Characterize algorithm performance with real-world data gathered from field trials
- Support production deployment of computer vision algorithms over city-scale data sets
- Take ownership for whole components of product development
- Work with a small team in a fast-paced environment focused on the development and productization of algorithms for real-world applications
Job requirements:
- 5+ yr experience developing computer vision solutions for object recognition, segmentation, tracking using both machine learning and model-based approaches
- 3+ yr Python (preferred) or C++ development experience
- Masters or PhD in Computer Science, Electrical Engineering, or a related field
- Strong analytical and mathematical ability working in 2D/3D problem spaces
- Good interpersonal skills, oral/written communication and idea presentation
- Linux, scripting, and version control experience
Additional desired skills:
- OpenCV, PIL, Point Cloud Library (pcl), NumPy or similar library experience
- Experience with supervised and unsupervised feature-based classification and regression techniques
- Experience developing and tuning CNN solutions
- 3D point cloud data algorithm development
- Robot Operating System (ROS) and/or experience with computer vision for robotic applications
- Experience with Amazon Web Services and Amazon Mechanical Turk
- Database programming experience
- SLAM or pose estimation algorithm experience
- GIS or mapping experience
What's in it for you?
- A great opportunity to work with a technology team defining new markets in the growing domain of energy optimization
- Tremendous growth opportunity; competitive compensation package including base salary, stock and benefits
Please send your resume to [jobs-AT-essess.com]. If you have a code repository or portfolio of your work, please include the link in your submission. No recruiters please.