Senior Computer Vision and Machine Learning Engineer

May 24, 2023

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Plato

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Plato connects engineering managers with mentorship from experienced engineering leaders.

Management • Engineering • Hiring • Onboarding • Conflict Solving

11 - 50

Description

• 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.

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 • Prior experience with multi-sensor calibration and multi-view geometry (preferred) • 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,...) (preferred) • Solid software engineering foundation and a commitment to writing clean, well-architected code (preferred) • Familiarity with various physical aspects of sensors including cameras and Lidars (preferred) • Publications in major CV/ML conferences and journals (preferred) • Statistical modeling, analysis, and significance testing (preferred) • Experience with edge computing (NVidia Jetson family, Raspberry Pi, ML accelerators) and coding for resource-constrained compute environments (preferred) • Experience in supervising and mentoring junior engineers (preferred)

Benefits

• Competitive salary and equity • Comprehensive health, dental, and vision benefits • 401K plan • Unlimited vacation • Flexible work hours • Opportunity to work on cutting-edge technology with a world-class team