Computer Vision Engineer

The Role

Some Things You’ll be Tasked With Are

• Research and development of advanced product-critical computer vision components.
• Provide leadership and mentoring to junior members of the team.
• Support overall research, engineering, and architecture efforts of computer vision, deep learning, and motion tracking components.
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
• Construct optimized data pipelines to feed ML model.
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.

Your Skills & Experience

• Extensive experience with computer vision being used in production environments
• 3+ years of experience in deep learning with TensorFlow / PyTorch
• 3+ years of experience building, scaling, and optimizing ML systems
• 3+ years of experience building production-ready data pipelines that feed ML models
• Expertise in deep learning and computer vision with a specialization in at least one of the following domains: object detection / instance segmentation, 6DoF pose estimation (i.e. 3D object detection), motion tracking, and camera calibration
• Experience leading team members
• Proficient in Python, Open CV, Git, Docker, Linux

Education

• MS in Computer Science or a related field
• PhD is preferred