PamiTC Job Board - Posting Details

Title: Machine Learning EngineerPosted: August 25, 2015
Company/Institution: Oculus
Location: Menlo Park, Ca
Department: Software Engineering

Description: Great virtual reality technology depends on advances in machine learning and artificial intelligence.We are looking for an exceptional software engineer with a proven track record in a variety of machine learning methods such as (e.g.,supervised learning, unsupervised, reinforcement, and/or deep learning). As a machine learning engineer at Oculus, you'll be solving challenges at the forefront of machine learning technology that transform virtual reality from dream to reality. We're looking for a creative engineer to usher in the next era of human-computer interaction by integrating machine learning techniques into the expanding landscape of virtual reality. Responsibilities The ideal candidate should be comfortable making significant contributions in a few of the following categories. Developing creative computer vision and tracking software for a variety of Oculus products and services. Participating in cutting edge research in artificial intelligence and machine learning applications. Developing novel real-time 3D scene reconstruction techniques and delivering accurate visual odometry systems. Researching and prototyping techniques and alogrithms for object detection and recognition. Contributing research that can be applied to Oculus product development. Devising better data-driven models of human behavior. Developing robust software for integrating multiple sensors and tracking systems. Prototyping hardware and software solutions for tracking, detection and modeling. Performing research that enables learning the semantics of data (images, video, text, audio, and other modalities) Requirements MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field. High proficiency in C++ Strong background in Machine Learning or Artificial Intelligence. Fast prototyping skills, including comprehensive feature integration during all cycles of development. Practical knowledge of machine learning, Bayesian filtering, information theory, and 3D geometry Collaborative, positive, team-oriented mindset

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