Lead NLP Research Engineer
2 weeks ago
Join Bloomberg's Engineering AI Team
Bloomberg's Engineering AI division comprises over 300 AI experts dedicated to developing highly sought-after products and features that often necessitate innovative approaches. We are committed to leveraging AI to enhance search, discovery, and workflow solutions through advanced technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our team and are in search of exceptionally skilled individuals to contribute to our Machine Learning (ML) and Software Engineering teams, who are at the forefront of delivering cutting-edge AI-driven solutions for our clients.
Our Mission
At Bloomberg, we strive to cultivate a transparent and efficient financial marketplace. Our operations are built on technology that renders news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across global capital markets.
Our Expertise in AI
Since 2009, Bloomberg has been developing Artificial Intelligence applications that provide solutions with high accuracy and low latency. We create AI systems designed to process and organize the ever-growing volume of structured and unstructured information essential for informed decision-making. Our AI capabilities help uncover insights, generate analytics on financial instruments across all asset classes, and deliver clarity when our clients need it most.
We Are Seeking
We are looking for experienced NLP Engineers who possess a strong background and enthusiasm for Natural Language Processing research and its applications to join our team.
Key Responsibilities
- Collaborate with team members on production systems, writing, testing, and maintaining high-quality production code.
- Design, train, experiment with, and evaluate NLP models, algorithms, and solutions.
- Exhibit technical leadership by managing cross-team projects.
- Stay updated with the latest advancements in NLP and integrate new findings into our models and methodologies.
- Represent Bloomberg at scientific and industry conferences and in open-source communities.
- Publish product and research findings in documentation, whitepapers, or leading academic venues.
Qualifications
- Hands-on experience with Natural Language Processing challenges, along with familiarity in Machine Learning, Deep Learning, and Statistical Modeling techniques.
- A Ph.D. in ML, NLP, or a related field, or an MSc in Computer Science, ML, Mathematics, Statistics, Engineering, or similar disciplines, accompanied by 2+ years of relevant professional experience.
- Experience with deep learning frameworks such as PyTorch.
- Strong software engineering skills.
- A solid understanding of Computer Science fundamentals, including data structures and algorithms, with a data-oriented approach to problem-solving.
- Excellent communication skills, enabling effective collaboration with both engineering peers and non-engineering stakeholders.
- A proven track record of publishing in top-tier conferences and journals is a significant advantage.
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