Remote Senior Computer Vision and Machine Learning Engineer

Summary

Join our multi-disciplinary team of scientists and engineers as a Computer Vision and Machine Learning Engineer to develop cutting-edge CV and ML methods based on data from various sensors.

Requirements

• PhD in CV/ML with 4+ years of industry experience or MS in CV/ML with 5+ years of industry experience
• Strong Python/C++ programming, familiarity with software development best practices, debugging/profiling
• Understanding of stereo / multi view geometric computer vision and classical computer vision for natural scene images
• Hands-on experience with OpenCV, PIL, and other image processing libraries
• Hands-on experience with at least one main stream deep learning framework such as PyTorch, TensorFlow, and ONNX
• Experience with writing production level code
• Familiarity with data science toolkit such as jupyter lab/notebooks, pandas, bash scripting, Linux environment
• Self motivated
• Excellent problem solving skills
• Excellent communication skills

Responsibilities

• Research, design, develop and evaluate advanced image processing and computer vision algorithms for a real-time computer vision pipeline
• Lead, maintain and improve our existing in-house algorithms and models
• Develop state of the art deep learning networks and architectures across data from multiple sensors
• Optimize algorithm performance across a wide range of development platforms and embedded systems
• Develop evaluation scripts to process large data and accurately measure algorithmic and end to end performance

Preferred Qualifications

• Prior experience with multi-sensor calibration and multi-view geometry
• Hands-on experience with different neural network architectures (CNNs, RNNs, etc.) as well as specific approaches for classification, segmentation, and object detection (Mask-RCNN, SSDs, EfficientDet, …) and common datasets (CoCo, Kitti, nuScenes,...)
• Solid software engineering foundation and a commitment to writing clean, well architected code
• Familiarity with various physical aspects of sensors including cameras and Lidars
• Publications in major CV/ML conferences and journals
• Statistical modeling, analysis, and significance testing
• Experience with edge computing (NVidia Jetson family, Raspberry Pi, ML accelerators) and coding for resource-constrained compute environments
• Experience in supervising and mentoring junior engineers