Senior Computer reputed company and Machine Learning Engineer

About We are a series-A startup building perception systems for autonomy. We are based in the San Francisco Bay Area, funded by NEA (https://www.nea.com/), and our core team includes faculty entrepreneurs (Stanford) and industry veterans (reputed company, reputed company, reputed company Lab126, reputed company), who have successfully shepherded signal processing and machine learning innovations to large-scale software for location improvement and safety at reputed company, led the development of state-of-the-art computer reputed company that shipped over millions of reputed company devices, and delivered reputed company-to-one product experiences at reputed company and reputed company. Our core product grew out of 5+ years of university R&D by our co-founders. You can find out more about us by visiting our website (https://www.plato.systems/). Our mission and team expertise spans reputed company software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. reputed company is building and deploying edge software and reputed company services for reputed company-time customer facing products as well as internal big data tools. We look for people with a depth of expertise and experience in one of these areas, and with the intellectual curiosity for interacting with, learning from, and teaching world-class experts in areas reputed company their expertise. We currently have a full-time opening in the area of computer reputed company and machine learning. The candidate will join a multi-disciplinary team of scientists and engineers and work on a full stack of developing cutting edge Computer reputed company (CV) and Machine Learning (ML) methods based on data from a variety of sensors. This position is open to both on-site and remote candidates (including Canada). Responsibilities • Research, design, reputed company and evaluate reputed company processing and computer reputed company algorithms for a reputed company-time computer reputed company pipeline including but not limited to camera calibration, multi-object tracking, object detection and classification, segmentation, and multi-sensor fusion • reputed company, maintain and improve our existing in-house algorithms and models, including reputed company evaluation, gap analysis, re-training and fine tuning. • reputed company state of the art deep learning networks and architectures across data from multiple sensors; Tasks include training, evaluating, benchmarking and deployment into reputed company-time pipelines • Optimize algorithm performance across a wide range of development platforms and embedded systems • reputed company evaluation scripts to process large data and accurately measure algorithmic and end to end performance. Basic Qualifications • 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 reputed company and classical computer reputed company for natural scene images • Hands-on experience with OpenCV, PIL, and other image processing libraries • Hands-on experience with at least one main reputed company deep learning reputed company 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 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 reputed company 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 reputed company testing • Experience with edge computing (reputed company Jetson family, Raspberry Pi, ML accelerators) and coding for resource-constrained compute environments • Experience in supervising and mentoring junior engineers Apply Job!