Senior Applied AI Engineer - Artificial Intelligence

Bloomberg is a financial technology and information company that builds AI-powered products for the global capital markets. The Senior Applied AI Engineer will develop and apply large language models for production systems, improve financial natural language processing models, lead cross-team projects, and contribute to research, publications, and open-source communities.

Responsibilities

• Collaborate with colleagues on building and applying LLMs for production systems and applications
• Write, test, and maintain production quality code
• Tune, evaluate and continuously improve LLMs using large amounts of high-quality data to develop state-of-the-art financial NLP models
• Demonstrate technical leadership by owning cross-team projects
• Stay current with the latest research in AI, NLP and LLMs and incorporate new findings into our models and methodologies
• Represent Bloomberg at scientific and industry conference and in open-source communities
• Publish product and research findings in documentation, whitepapers or publications to leading academic venues

Preferred

• A track record of authoring publications in top conferences and journals is a strong plus
• Publication in conferences
• Publication in journals

Benefits

• Merit increases
• Incentive compensation (exempt roles only)
• Paid holidays
• Paid time off
• Medical benefits
• Dental benefits
• Vision benefits
• Short-term disability benefits
• Long-term disability benefits
• 401(k) + match
• Life insurance
• Various wellness programs

Company

• Business and financial information, data, news, and technology services.
• New York, New York, USA
• http://www.bloomberg.com/
• Founded in 1981
• 10001+ employees

Qualifications

• Practical experience with Natural Language Processing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques
• Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience
• Experience with Large Language Model training and fine-tuning frameworks such as PyTorch, Huggingface or Deepspeed
• Proficiency in software engineering
• An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
• Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders
• A track record of authoring publications in top conferences and journals is a strong plus

Required skills

• Data Structures and Algorithms, Deep Learning, DeepSpeed, Hugging Face, Large Language Model Training and Fine-Tuning, Machine Learning, Natural Language Processing, PyTorch, Statistical Modeling

Experience

• 2+ years