Job Description

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.

The Machine Learning team builds the core algorithms that power their analytic engines. Our focus is on solving the hardest problems in natural language processing, understanding, and generation. We do this at scale and across a diverse set of document types and human languages. Every day we develop and implement cutting-edge algorithms, maintain and improve the performance of their existing suite of algorithms, and help find novel uses for the companys technology.

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 and without.
• Deliver high impact improvements to our core platform, and for specific client focused 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.

WHAT WE OFFER:

• Rapidly growing company, with opportunities for growth into leadership roles
• Smart, engaged co-workers who are at the top of their game
• Honest and open environment for exchange of ideas
• Real deadlines from real customers with global name recognition
• Product culture of user experience quality over feature quantity
• Proactive learning and teaching opportunities via individual book allowances, tech talks, and brown bag lunches
• Twice weekly catered lunches
• Team outings and bi-weekly company happy hours
• One-of-a-kind LEGO art gallery
• Fun, puzzle-loving office in the SF Financial District