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AI Research Scientist – NLP 538 views

News and social media move financial markets. Bloomberg is one of the largest producers of news in the world and they ingest millions of news stories every day from over 70,000 external news feeds and social media such as Twitter. This data keeps their clients informed, and their team’s insights help make sense of it for their customers.

Who are they? Bloomberg’s Artificial Intelligence (AI) group: researchers and engineers 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. Since their customers 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 are 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.

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:

– Work with others in the AI group and the company on production systems and applications

    • Publish research findings in leading academic venues and represent Bloomberg at industry conferences
    • Write, test and maintain production-quality code
    • Design, experiment, and evaluate algorithms, and models¬† ¬†
      You’ll need to have:

– 5+ years of experience in AI, NLP, ML, Optimization, or related fields

    • 5+ years of experience programming in C++, Python or Java
    • A master’s degree (Ph.D. preferred) with industrial experience
    • They’d love to see:

– A quantitative background (Probability, Statistics, Linear Algebra, etc.)

    • Experience with distributed computational frameworks (YARN, Spark, Hadoop, Kubernetes, Docker)
    • 3+ publications in top-tier conferences or journals (such as ACL, AAAI, SIGIR, KDD, EMNLP, ICML, NeurIPS or equivalent)
    If this sounds like you, apply! In addition, do check out their blog, TechAtBloomberg.com/NLP, to learn more about their publications and projects in data science.

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