Principal Data Scientist / Machine Learning Engineer
What you will be working on
Cutting edge problems in applied AI and ML in one or more of the following areas: computer vision, object detection and localization, speech recognition, natural language processing, recommendation systems, forecasting, and multimodal learning, spanning different industries and use cases.
Expanding our Deep Learning framework into Deep Reinforcement Learning and other applied AI algorithms.
Inventing new models that combine unsupervised and supervised learning
Developing new reinforcement learning algorithms to exploit novel use cases in retail recommendations and other IOT applications, industrial AR, robotics, and more
Cross functional support with teams in various business groups
Who we are looking for
PhD in computer science, electrical engineering or related fields (statistics, applied math, computational neuroscience) and 10+ years’ experience. Background in deep learning, machine learning, reinforcement learning & big data Experience designing professional software using Python, C++ Drive to solve customers’ problems using technical creativity and hard work Experience with participating and winning Kaggle competitions Familiarity with details of implementing algorithms on multi-core CPUs, clusters (MPI), GPUs, heterogenous clusters, distributed frameworks (eg. GraphLab, Spark, Hadoop)
Inside this Business Group
Intel Nervana, leveraging Intel’s world leading position in silicon innovation and proven history in creating the compute standards that power our world, is transforming Artificial Intelligence (AI). Harnessing silicon designed specifically for AI, end-to-end solutions that broadly span from the data center to the edge, and tools that enable customers to quickly deploy and scale up, Intel Nervana is inside AI and leading the next evolution of compute.