Our team has an immediate 12-month internship opening for a Researcher.
Responsibilities:
Apply cutting-edge research to solve impactful real-world problems, publish at top-tier conferences, and invent patents
Research and develop innovative ML models with applications on graph structured data (such as social/transaction/telecommunication networks, recommender systems, and dynamic and knowledge graphs)
Apply your research and implement optimized algorithms for real-world problems that affect relations of millions of entities (users, products, persons, or transactions)
Publish at top-tier ML conferences, file high-value patents, and write scientific technical reports
Contribute to the design, implementation, test, and maintenance of research and development frameworks
Collaborate with researchers and developers across teams and projects
What you\'ll bring to the team:
Ph.D. in Computer Science, Electrical and Computer Engineering, Statistics, Applied Mathematics or a related technical field (or Master\xe2\x80\x99s with related research experience and publications)
2+ years of research and development experience; good understanding of machine learning problems and methods (supervised/self-supervised/semi-supervised learning)
Good theoretical knowledge and methodological experience in the deep learning research-and-development cycle: literature review, model formulation and development, training, testing, monitoring, fine-tuning, and quantitative/qualitative analysis
Proficiency in a programming language (e.g. Python); strong AI/ML coding skills
Good understanding of basic data structures and computational algorithms; experienced in deep learning/machine learning frameworks (PyTorch, Tensorflow, Theano, and/or Scikit-learn)
Excellent team working, technical writing and presentation, analytical and problem-solving skills