Staff Software Engineer (Machine Learning)

• We work on a variety of computer vision problems at the edge as well as in large compute clusters. These span object detection and stereo depth mapping to feature detection and matching, 3D reconstruction, image classification, OCR, and other general sensor fusion techniques
• We solve the problem of distilling large volumes of standardized signals into highly accurate and precise insights
• Help shape the CV strategy touching the full mapping stack, all the way from hardware to data insights
• Balance the state of the art and bleeding edge with practicality; produce production-grade ML solutions trained on a huge corpus of standardized data that are efficient w.r.t cost and performance
• Integrate ML solutions with our production systems; at the edge and in large offline clusters

Benefits

• Medical, dental and vision benefits plus FSA
• Family leave
• 401(k) program
• Unlimited Flex PTO
• Commuter benefits
• Paid lunch

• Hands-on experience with general ML and Data Mining: Clustering, Predictions, Unsupervised Methods, Ensemble Methods, Graph Optimization, etc
• Strong software engineering fundamentals
• Hands-on experience with Image Processing and Computer Vision: Object Detection, Classification, Tracking, Localization, 3D Reconstruction, Vector embeddings, etc
• Demonstrated expertise in building ML solutions, including training and deploying models, as well as integrating them into production software systems
• Strong programming and applied math skills (linear algebra, statistics, multivariate optimization)
• Hands on experience with 3D reconstruction pipelines ( either monocular or stereo)
• PhD in Computer Vision or related field
• Knowledge of distributed compute systems like Hadoop/Spark
• Experience with a variety of different ML frameworks ( PyTorch, TensorFlow, OpenVINO, ONNX, etc.)