Uses predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structure and unstructured data . Develop software, algorithms and applications to apply mathematics to data, perform large scale experimentation and build data driven apps to translate data into intelligence, solve a variety of business problems and enable business strategy. Assists business with casual inferences & observations with finding patterns , relationships in data. Must possess strong understanding of internal business segment (stakeholders) and possess strong written and communication skills. Typically requires expertise in relational database structures, research methods, machine learning, Cloud based technologies, Big Data technologies (i.e. Hadoop , HBase, Lucene/Solr), analytics packages (i.e. R, Mahout, Matlab, Octave, Weka), scripting languages (i.e. Python, Perl), programing languages (i.e. Java, C/C++, SQL). Typically possesses advanced degree in Computer Science, Mathematics, Machine Learning, Operation Research, and Statistics or equivalent expertise.
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
Developing our Deep Learning framework
Inventing new models that combine unsupervised and supervised learning
Developing new deep learning algorithms to exploit novel distributed processor architectures
Who we are looking for
(PhD, in computer science, electrical engineering or related fields
(statistics, applied math, computational neuroscience) and 3+ years experience.
Background in deep learning, machine 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
California, Santa Clara;
Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
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