Senior Computer Vision Engineer

We are looking for a Senior/Lead Computer Vision Engineer to join our R&D Team. The potential candidate is experienced in developing and evaluating computer vision/ML algorithms and has a keen eye for applying this technology to real-world problems.

Responsibilities:

• Design and implement innovative computer vision algorithms for solving challenging scene understanding problems.
• Research areas: object detection, tracking, classification; image registration; 3D modeling; performance modeling; contextual reasoning.
• Broad foundation in computer vision theory and algorithms.
• Train deep learning models with internal and external image datasets.
• Develop original ideas to create analytical system of models.
• Mentor and lead developers in both onshore and offshore locations.

Required qualifications:

• 4+ years experience  in computer vision and/or deep learning for object detection and tracking
• Excellent programming skills and knowledge of C/C++, Python.
• Familiar with Computer Vision libraries like OpenCV, Ceres etc.
• Strong problem solving skills with an emphasis on product development.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Proficiency training large scale models using modern machine learning/ deep learning packages (e.g. TensorFlow, PyTorch, Keras, Scikit-learn), and experience with data analysis stacks (such as numpy, scipy, pandas, etc.)
• Model deployment and scaling experience.
• Experience working with and creating data architectures.
• Familiarity with AWS, GCP, Docker is a big plus. 
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.

Benefits & Perks:

• Health Insurance;
• Company stock options;
• Individual Benefit package (serves for your work and life balance) 
• "Work From Home" Days;
• Team events and trainings for personal development;
• Access to advisors including advisory board member at NASA Health Institute and serial founders to help us grow, personally and professionally