Assist the Tensilica application engineering team support customers of the product (some amount of direct customer interaction may be required).
March 05, 2020
Implement deep learning based models for robustly estimating depth and optical flow.
March 07, 2020
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.
April 21, 2020
Contribute to research projects that develop a variety of algorithms and systems in machine learning, multimedia analysis, and natural language processing.
April 25, 2020
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.
April 26, 2020
Understanding of different machine learning algorithm families and their tradeoffs (linear, tree-based, kernel-based, neural networks, unsupervised algorithms, etc.
May 23, 2020
Hands on developer with practical experience in building software and algorithms for object detection, scene analysis, tracking and segmentation.
May 28, 2020
Design, build, train and optimize 3D deep learning and computer vision algorithms with a focus on high performance and efficient implementation.
May 30, 2020
Demonstrated ability to take neural network models from concept to production with in-depth knowledge in Deep Learning frameworks such as TensorFlow and Caffe.
June 08, 2020
Collaborate with cross functional agile teams of AV engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
June 28, 2020