Cornerstone provides an AI-powered Talent Experience Platform for unified content discovery, knowledge management, and personalized learning platform for your career journey. Our award-winning Platform is used globally by Fortune 500 companies and government organizations to solve content discovery, curation, and recommendation problems across external, internal, and tacit knowledge sources

In the Data Science and Machine Leaning team at Cornerstone we are looking for solid hands-on technologists with solid time-management skills and experience in highly autonomous roles. You also function effectively in a collaborative environment and are comfortable making independent decisions.

In this role, you will…

 Lead and drive execution of new initiatives for Machine Learning using conversational NLP techniques and introduce ML-based learning for recommendation and coaching assistant in our productsLead team of ML engineers in evaluating ML technologies, building/training models, deployment of models and monitoring in production environments.Work with the engineering teams and ensure timely deliveries.Be part of a global Engineering team supporting Fortune 1000 customers worldwide.Ability to experiment and iterate rapidly and provide tangible improvements in the overall engagement
A driven team player, collaborator, and relationship builder whose infectious can-do attitude inspires others and encourages excellent performance in a fast-moving environment.Results orientated, motivated by success.

You’ve got what it takes if you have…

Master's or bachelor's degree in computer science or a related study or equivalent experience7+ years of hands-on experience architecting and designing highly scalable and resilient systems.5+ years of experience in designing & scaling applications based on Data Science, NLP, and conversational AIUnderstanding of ML algorithms - classical and deep learning and ML frameworksGood understanding of system availability, security, and performance management.PyTorch and its ecosystem of librariesWord and document embeddingsTransformers and AttentionRNN, LSTM#LI-RB1 #LI-OnSite