Machine Learning Expert
At Reverb, we work with text — lots of text. Wordnik uses empirical methods to build recommendation systems and to extend and improve our Word Graph. We employ statistical, machine-learning, and deep-learning methods to exploit that prior knowledge for the modeling of text. We are a coding shop; developers in addition to researchers.
Primary Duties and Responsibilities
- provide leadership on machine learning and statistical techniques
- building 'learning to rank' models
- building models that combine content, social, and personalization feature sets
- document similarity search
- user behavior analytics
- topic modeling
- auto-summarization
- building well-engineered systems at scale
Desired Skills & Experience
- machine learning — you are more than a 'user' of machine learning libraries, but understand and can articulate a variety of ML approaches)
- software engineering, especially in working with large data
- strong knowledge of statistics, information theory, and probability theory
- computational linguistics
You'll Do Even Better With
- a functional programming bias
- experience or strong interest in Clojure or Scala (we are a Scala shop)
- a proven track record in building open-source ML systems