Senior Data Scientist, Senior Computer Vision Researcher

Key Skills

AI technology, Apache Airflow, Apache Beam, CNNs, Computer Vision (CV), CUDA/GPU programming, Deep Learning, Google BigQuery, Image processing, Keras software library, Machine learning techniques, OpenCV, Python Programming, PyTorch, RNNs, Scikit-learn, SQL, TensorFlow, Transfer Learning, Video coding and processing

Job Description

Who you are

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Scientist, Senior Computer Vision Researcher who will build machine learning models to analyze video content from millions of dash cam videos. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Data Scientist, Computer Vision Researcher, your key area of responsibility will be to experiment, implement, test and maintain production video analytics models and pipelines using artificial intelligence and deep learning.

To be successful in this role you will be a self-starter with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts.

How you’ll make an impact

• Create machine learning models that can analyze video content from millions of network connected dash cams in order to improve driver and pedestrian safety by analyzing large amounts of video content.
• Provide expert project leadership as a SME: guidance to team members and participate in cross-departmental projects establishing Geotab as a leader in video analytics.
• Create algorithms and predictive models required to solve complex business problems.
• Build new models and also explore existing models for improvement using video content analytics.
• Test the performance of video analytics products and make recommendations for improving Geotab’s product suite.
• Own design, development and maintenance of scalable computer vision and video content analytics models that can be used for object detection, object recognition, object tracking, lane detection, semantic segmentation etc.
• Use machine learning and computer vision packages to develop ML models and features.
• Conduct experiments to identify the root issues of an observed result.
• Collaborate with internal product managers, data engineers, data scientists, software developers and external stakeholders to gather requirements
• Keep up to date knowledge of current research in video content analytics.
• Responsible for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
• Support in building a video analytics platform to automate the model building process.

What you’ll bring to this role

• Masters or equivalent degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field.
• 5-8 years experience as a Data Scientist, Computer Vision Researcher or a similar role.
• 5-8 years experience in programming in Python.
• Solid understanding of machine learning, deep learning (CNN’s, RNN’s, LSTM, GAN’s, Transfer Learning), computer vision, image and video analytics.
• 4-5 years experience with OpenCV and other image processing libraries.
• Proficient in building models using TensorFlow, Keras, PyTorch, scikit-learn.
• Knowledge of working with different kinds of cameras, image and video data is an added advantage.
• Knowledge of Edge AI, parallel computing and CUDA is an added advantage.
• Knowledge of ADAS and driving simulation software is an added advantage
• Experience in writing SQL queries.
• AirFlow, apache-beam, BigQuery and other cloud based technologies to scale machine learning models will be an asset.
• High accuracy and meticulous attention to detail.

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.

Why job seekers choose Geotab

• Work from home and flex work arrangements
• Home office reimbursement program
• Baby bonus & parental leave top up program
• Online learning and networking opportunities
• Electric vehicle purchase incentive program
• Competitive medical and dental benefits
• Retirement savings program

The above are offered to full-time permanent employees only