Plato is hiring a
Senior Computer Vision and Machine Learning Engineer in United States

Summary

The job is for a full-time computer vision and machine learning expert to join a multi-disciplinary team at a series-A startup in the San Francisco Bay Area. The candidate will work on developing advanced image processing and computer vision algorithms, optimize algorithm performance, and lead the development of deep learning networks.

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

Responsibilities

• Research, design, develop and evaluate advanced image processing and computer vision algorithms for a real-time computer vision pipeline including but not limited to camera calibration, multi-object tracking, object detection and classification, segmentation, and multi-sensor fusion
• Lead, maintain and improve our existing in-house algorithms and models, including continuous evaluation, gap analysis, re-training and fine tuning
• Develop state of the art deep learning networks and architectures across data from multiple sensors; Tasks include training, evaluating, benchmarking and deployment into real-time pipelines
• 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

Benefits

• Publications in major CV/ML conferences and journals
• 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