You will be expected to work on many levels - from mining massive datasets for identifying opportunities, through designing and implementing your solutions into our offline and live production systems, defining appropriate metrics to measure their effectiveness, conducting A/B experiments and rigorous quality evaluation, as well as mentoring team members. Your coding skills will be challenged to write scalable, distributed and highly efficient components. Candidates should give evidence of their ability to write efficient and maintainable code. You will be involved in: Building models and featurization pipelines. Measuring and improving model performance with feedback loop and reinforcement learning; working with product teams on appropriate designs of AI-powered experiences. Setting up, running and analyzing experiments. Prototyping new approaches and developing new algorithms, ML techniques such as modeling using deep learning, advanced ML models and privacy preserving algorithms. Working with other scientists, engineers and UX experts on the detailed design and implementation of end-to-end solutions, including data-pipelines for machine learning, deployments, performance monitoring and analysis, and continual refinement via feedback loop from real users. Staying abreast on current technology trends and research development in relevant areas inside and outside of the company, including attending academic and industrial conferences. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research). OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research). OR equivalent experience. Ph.D. in Computer Science, Artificial Intelligence, Statistics, Electrical Engineering, Computer Vision, or related field. Publications in top-tier ML/IR/NLP/CV conferences would be a plus. Awareness and understanding of emerging research and technologies. Experience in large scale data mining and cloud computing. Analytical, problem solving, programming and debugging skills.
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