Senior IR Research Engineer - Artificial Intelligence Group
Posted Dec 21, 2022 - Requisition No. 111378
The AI Group is the central engineering group responsible for driving Machine Learning (ML) adoption at Bloomberg, with over 200 researchers and engineers working together to provide clients with the best-in-class news, research, market data, and analytics using innovative machine learning technology. We directly impact a wide variety of our flagship products, including news, research, pricing, communications platforms, search and discovery tools. We work on a variety of ML fields, including natural language processing, information retrieval, time series analysis, and recommender systems.
Some projects where we are looking for experienced research engineers include: unified search, question answering, query parsing, financial instrument (e.g., fixed income) pricing, dialogue understanding. Our research engineers are responsible for architecting and implementing models end-to-end, overcoming unique challenges that come with machine learning systems in the financial domain. In addition, we contribute to open source; contributions we have made and work with include Solr, Koan, KFServing, Cloud Native Buildpacks and PyTorch Lightning that directly impact our production services.
Financial information drives the markets and Bloomberg has a wide variety and diverse set of information sources available on The Bloomberg Terminal. This includes structured content such as market ticks or company fundamentals data, as well as semi-structured and unstructured content such as tabular data, earnings call transcripts, research reports, and news stories. It also includes other sources such as help page contents, function descriptions, and even web content. In the AI Group, we are tasked with helping our clients retrieve relevant information that they are looking for from these sources, including not only documents but also data points, charts, and actual answers. In addition, we are responsible for enabling natural language autocomplete and search over these complex domains with industry-leading standards on latency.
We'll trust you to:
- Collaborate with colleagues on production systems and applications
- Design, experiment, and evaluate algorithms as well as models
- Write, test, and maintain production-quality code
- Represent Bloomberg at scientific and industry conferences
- Publish research findings in leading academic venues
You'll need to have:
- Masters or a Ph.D. in CS, ML, Math, Statistics, Physics, Engineering, Quant, or related fields
- Relevant work experience (5+ years after Masters or 2+ years after Ph.D.)
- Proficiency in software development
If this sounds like you:
Apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are. In the meantime, check us out at http://www.techatbloomberg.com/ (http://www.techatbloomberg.com/)
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