Bloomberg’s Artificial Intelligence (AI) group is a team of engineers and researchers who have a passion for solving complex problems. Their charter: to extract and identify relevant, meaningful, tradable, and actionable information (such as pricing, earnings, recommendations and major events) from data (including news, web, social media, and structured data) in real-time, as well as providing advanced ways of accessing this data (such as search, summarization, recommendations, and natural language question-answering). Since their customers (internal and external) rely on this information to make swift financial decisions, they guarantee precision, accuracy, and latency numbers beyond most academic and industry standards.
They aren’t just building customer-facing products, as the infrastructure and algorithms, they develop themselves used across the company. They also publish papers, attend conferences, organize workshops, and contribute back to the larger data science community whenever they can (seehttps://www.techatbloomberg.com/ai/ andhttps://bloomberg.com/company/d4gx/).
Who are you? A research scientist and engineer who wants to work in the areas of machine learning, natural language processing, information extraction, reinforcement learning, graphical models, recommender systems, and/or knowledge graphs. You want to join a close-knit group and make a big impact.
They’ll trust you to:
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- Work with others in the AI group and the company on production systems and applications
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- Publish research findings in leading academic venues and represent Bloomberg at industry conferences
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- Write, test and maintain production-quality code
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- Design, experiment, and evaluate algorithms, and models
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- Experience in AI, NLP, ML, Optimization, or related fields
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- Experience programming in C++, Python or Java
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- A master’s degree (Ph.D. preferred) with industrial experience
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- A quantitative background (Probability, Statistics, Linear Algebra, etc.)
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- Experience with distributed computational frameworks (YARN, Spark, Hadoop, Kubernetes, Docker)
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- Publications in top-tier conferences or journals (such as ACL, AAAI, SIGIR, KDD, EMNLP, ICML, NIPS or equivalent)
Interview process: They believe interviewing is a two-way street. It’s a way for them to get to know you and your skills, and also a way for you to learn more about the team, their technical challenges, and what you’d be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here: https://www.bloomberg.com/careers/technology/engineering/data-science-teams/They want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let them know! If this sounds like you, apply! And do check out their blog, TechAtBloomberg.com, to learn more about their publications and projects in data science. Bloomberg is an equal opportunity employer and value diversity at their company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
