Qordoba’s Content Intelligence platform applies AI to help digital teams take control of content and craft powerful, consistent copy for all their audiences. Qordoba’s product helps product development teams create and update UI without engineering involvement. Qordoba’s machine learning and advanced NLP help companies continuously improve and update their content, making content more effective and producing more engaging experiences for their users.
Passionate advocates for Qordoba include customers such as Intuit, Postmates, Visa, Marriott, Cisco, Sephora and Nutanix. Qordoba was recently named to Forbes’ coveted Cloud100 Rising Stars list.
We are looking for extraordinary colleagues to join us as we build a large, enduring company that becomes a permanent part of the product development stack.
About the role:
We’re looking for an enthusiastic, experienced Director of Research – Data Science to join our San Francisco team. This is an excellent opportunity for a curious and enthusiastic research director who wants to contribute to a product at the forefront of natural language processing. The ideal candidate is eager to join a diverse, fast-growing team that fosters a fun and growth-oriented office culture.
Fun facts about our team & the Director of Research role:
We turn datasets into testable hypotheses
Our models have real-world use cases with impactful results for enterprise customers
Believe that Automation > Manual tasks
We love to translate predictive models into writing guidance
Define the research vision for our Content Intelligence roadmap, and oversee planning and prioritization with Product and Engineering to make sure the team is advancing that roadmap
Manage three data scientists and mentor and grow the team
Design and implement machine learning models and validate model performance in the real world, using feedback from thousands of power users
Work closely with your data science and engineering colleagues ito deliver cross-functional research work and data systems
Collaborate with our product and engineering teams to create custom models that fit our customers’ needs
Lead development of in-production model deployment pipeline
Build custom data models using NLP alongside the data scientists on your team
7+ years experience working in NLG, NLP, data science or other relevant work capacity
Proficient with data mining and machine learning
Hands-on experience in deep learning frameworks such as TensorFlow and PyTorch
Masterful at Docker and RESTful API development process
Familiar with big data frameworks such as Hadoop, Spark in Java/Python/Scala
Knowledge of distributed system and parallel computing is a plus
You have a strong knowledge of speech, natural language processing, web search or information retrieval, with experience in machine learning, deep learning, evaluation and / or optimization techniques.
PhD in computer science, computational linguistics, natural language processing, natural language generation, mathematics or related fields
Relevant NLP Skills:
Syntactic & semantic parsing
Text classification and clustering
Question answering and query understanding
Data analytics and error analysis
Machine learning with experience in NLP
Machine Translation and Compilers
Level of experience (years):
Senior (5+ years of experience)
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