Salary Range: $150,000 – $160,000
Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of our extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements Technical /Professional Skills & Competencies:
Excellent understanding of ML, NLP, and statistical methodologies Excellent programming skills (Java/Python/R/Sas) Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies a plus Education and Background:
Bachelor's degree in Computer Science, Statistics, Technology, or Engineering, strongly preferred, or equivalent work experience. 2+ years proven a track record in the application of ML and NLP.
2+ years proven track record in the application of ML and NLP.
Excellent programming skills (Java/Python/R/Sas)
Computer science, or statistics degree from top school (Berkeley, Stanford, CMU, MIT…)
Should have active Github account and contributor on github