Staff Deep Learning Engineer

Staff Deep Learning Engineer

Requirements

• Ph.D. or Master’s in Robotics, Machine Learning, Computer Science, Electrical Engineering, or a related field.
• Expertise in PyTorch or TensorFlow (one mandatory, familiarity with both a plus).
• OpenCV for computer vision.
• TensorRT for deployment optimization.
• Strong Python programming and software design with experience in Pandas.
• Experience deploying DL models to run on real-world, resource-constrained systems.
• Demonstrated proficiency in data science and traditional machine learning (SVMs, Random Forests).
• Experience in automated data annotation for computer vision.
• Training multi-task and semi-supervised deep learning models for video data.

Responsibilities

• Drive the entire perception system development life cycle, from problem definition to deployment and ongoing improvement.
• Actively contribute to the development and refinement of the perception system in a hands-on manner.
• Develop robust computer vision algorithms for object detection, tracking, semantic segmentation, and classification.
• Design and train deep learning models for complex urban scene perception and real-time analysis.
• Collaborate with cross-functional teams (cloud/device) for seamless integration and monitoring of perception models.
• Analyze data to identify performance bottlenecks and opportunities for enhancing the perception system.
• Automate improvement cycles of deep learning models used within the perception system.
• Communicate technical findings and insights effectively to stakeholders across the company to drive performance improvements.
• Utilize data visualization tools to present complex information clearly for informed decision-making.

Preferred Qualifications

• Familiarity with designing multi-modal deep learning models incorporating temporal context and geometrical constraints is a plus.