Assist the Tensilica application engineering team support customers of the product (some amount of direct customer interaction may be required).
September 12, 2019
Hands on developer with practical experience in building software and algorithms for object detection, scene analysis, tracking and segmentation.
September 17, 2019
Demonstrated ability to take neural network models from concept to production with in-depth knowledge in Deep Learning frameworks such as TensorFlow and Caffe.
October 07, 2019
Collaborate with cross functional agile teams of AV engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
October 16, 2019
Participate in cutting edge research in AI and apply Machine Learning in real world, large scale problems such as Computer Vision, Natural Language Understanding, or Speech Analysis.
October 24, 2019
Implement deep learning based models for robustly estimating depth and optical flow.
October 30, 2019
Contribute to research projects that develop a variety of algorithms and systems in machine learning, multimedia analysis, and natural language processing.
November 01, 2019
Develop and apply machine learning/deep learning algorithms to various areas of interest, including image processing, natural language processing, integration of genomic and biomedical data, variant interpretation, detecting machine anomalies, and application to massive datasets in oncology, reproductive health, autism and rare diseases, among others.
November 02, 2019
Design, build, train and optimize 3D deep learning and computer vision algorithms with a focus on high performance and efficient implementation.
November 08, 2019
Understanding of different machine learning algorithm families and their tradeoffs (linear, tree-based, kernel-based, neural networks, unsupervised algorithms, etc.
November 12, 2019