The Senior NLP Research Engineer role at Bloomberg involves contributing to innovative AI-driven customer-facing products by leveraging expertise in Natural Language Processing (NLP). The team focuses on building advanced search, discovery, and workflow solutions using cutting-edge technologies. Candidates will engage in research and application of NLP methods to extract semantic meaning from unstructured data. This position offers opportunities for technical leadership and collaboration with both engineering and non-engineering stakeholders.

• Ph.D. in ML, NLP or a relevant field and 2+ years of relevant work experience or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 5+ years of relevant work experience.
• Practical experience with Natural Language Processing problems and familiarity with Machine Learning, Deep Learning, and Statistical Modeling techniques.
• An understanding of Computer Science fundamentals such as data structures and algorithms.
• Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
• Experience with deep learning frameworks such as PyTorch.

• Collaborate with colleagues on production systems and write, test, and maintain production quality code.
• Design, train, experiment, and evaluate NLP models, algorithms, and solutions.
• Demonstrate technical leadership by owning cross-team projects.
• Stay current with the latest research in NLP and incorporate new findings into our models and methodologies.
• Represent Bloomberg at scientific and industry conferences and in open-source communities.

• Bloomberg offers a comprehensive suite of benefits designed to support health, financial stability, and work-life balance.