Back River Search Group

Principal Machine Learning Engineer

Back River Search - San Francisco, CA

Company:

Our client is an artificial intelligence company that organizes and analyzes text-based data sources and generates analyst-grade natural language summaries for a variety of industries. Our objective is to help our customers understand the world around them -- whether it is emerging geopolitical events, development of a product line or area of research, or monitoring a portfolio of companies’ financial performances.

Responsibilities:

    • Ensure the quality of our core machine learning platform - developing best practices and tooling in the team.
    • Propose and lead long-term investments in machine learning, to solve problems at or beyond the state-of-the-art.
    • Develop presentations and technical discussions to evangelize and teach both within Primer and without.
    • Deliver high impact improvements to our core platform, and for specific client focussed products.

Requirements:

    • M.Sc. or Ph.D. in computer science, statistics, machine learning, or other quantitative field.
    • 8+ years of professional experience developing and deploying data and algorithm driven software products.
    • Deep understanding of key ML algorithms and when and how to apply them.
    • Experience with NLP and machine learning tools and libraries such as numpy, SpaCy, NLTK, Scikit-learn, Tensorflow, Keras.
    • Specific experience with NLP tasks such as event and topic detection, relation extraction, summarization, entity recognition, document classification and knowledge base generation.
    • Understanding of computational complexity and strategies for scaling and distributing large computations.
    • Experience in distributed computing, preferably including working with AWS/Azure, the Elastic stack, and Docker.
    • Passionate about driving the performance of machine learning algorithms towards the state of the art, and in challenging us to continually improve what is possible.


Posted On: Tuesday, June 19, 2018



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