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JOB RESPONSIBILITIES: -Implement and apply cutting edge algorithms and methods for machine learning
-Perform extensive supervised and unsupervised learning on terabyte-scale datasets to advance consumer communication, search, and video technologies
-Build models to predict search and language behavior in a unique consumer space
-Collaborate with senior engineers to build best-in-class Real Time technologies used by millions of consumers
-3 years professional experience in applying machine or statistical learning to large datasets to build prediction models
-Ability to communicate complex quantitative analysis, analytic approaches and findings in a clear, precise, and actionable manner
-Passion for empirical research with attention to detail to answer hard questions in consumer behavior
-Python and common Python-based numerical libraries (e. g. SciPy)
-Working knowledge of SQL
-M. S. or Ph. D. in Computer Science, Mathematics, Statistics or related field
-Hands on experience with computer vision and natural language processing techniques
What We're BuildingTenor (formerly Riffsy) helps people find the right GIF at the right moment. In a world that now largely operates via texts, social media messages, DMs and Slack channels, it can be hard to articulate exactly what you mean with keystrokes alone. Tenor s GIF Keyboard makes it easy for people to visually express what s on their mind.
Beyond Tenor's GIF Keyboard, we extend our mobile-focused experience through our API, powering GIF sharing for partners like Facebook Messenger, Google s G Board, LinkedIn, Kik, Kika, LinkedIn & Vodafone. Together across Tenor's offerings, hundreds of millions of users perform billions of searches every month for GIFs and videos from the world s greatest content creators.
The company is based in San Francisco, and is backed by Redpoint and Menlo Ventures.
San Francisco, California, United States of America
5/16/2018 2:20:00 PM