Information and data move the financial markets. Bloomberg ingests more than 70,000 different news feeds, tracks million of securities, analyzes proprietary data sources such as supply chain information for the entire world, and keeps track of many large sources of data to help our clients stay in the know. This data would be unmanageable without our help.

Who are we? Bloomberg's Information Retrieval Group - a group of specialists, researchers and software engineers who have a passion for solving complex problems. We are building machine learning models to analyze the connectedness between entities within the financial ecosystem.

Who are you? A research scientist and engineer who wants to apply machine learning to solve challenging problems. You want to be part of a small team making a big impact and are not afraid to get your hands dirty in data.

We'll trust you to:

• Design and build machine learning systems that solve difficult problems involving big data/information retrieval/recommendation systems
• Write, test and maintain production-quality Java, C++, and/or Python code
• Study and analyze problems, propose solutions and design experiments

You'll need to have:

• A PhD or Master’s in Machine Learning or equivalent experience
• 3+ years of experience programming in C++, Java

We'd love to see:

• A mathematical background (Probability and Statistics)
• A working knowledge of Spark/TensorFlow
• Experience with Python
• Publications in top-tier conferences or journals in ML (such as ICML, NIPS, CIKM, WWW, or KDD)