Senior Language Modeling Engineer - Bloomberg Law/Tax/Gov

Description & Requirements

Bloomberg Law/Tax/Gov delivers AI-powered tools that integrate premium editorial content, billions of documents and data points into workflows of legal, tax, accounting and government professionals. Our goal is to become an indispensable tool for legal, tax, accounting and government professionals by supporting their day-to-day tasks and providing solutions that help them get real-time answers and better serve their clients and needs.

We are looking for Senior Large Language Modeling (LLM) Engineers with a strong expertise and passion for Large Language Modeling research and applications to join our team. Your work will enable our clients to get answers to their complex Natural language questions, assist them in their work on our platform.

Key focus areas include: advanced LM techniques such as pretraining and fine-tuning and efficient training methodologies, learning from feedback and human preferences, retrieval-augmented generation, text summarization, domain adaptation of LLMs to legal, government and tax domains, LLM evaluation and benchmarking, model safety and responsible AI.

What's in it for you:

• Collaborate with colleagues from product development and core AI development teams to understand business needs and map them to LLM techniques to solve their needs
• Prepare high quality and representative data sets
• Train, tune, evaluate and continuously improve LLMs using large amounts of high-quality data to develop state-of-the-art NLP models for the Law, Government and Tax domains
• Collaborate with colleagues from our platform team to train and deploy the LLMs
• Write, test, and maintain production quality code
• 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 and benchmark them
• Publish product and research findings in documentation, whitepapers or publications to leading academic venues

You'll need to have:

• Practical and subject matter experience in Natural Language Processing
• A 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
• Proficiency in Python and Machine Learning (ML) toolkits and platforms such as PyTorch, Hugging Face, JAX or scikit-learn.
• Experience with distributed training and inference of Large Language Models
• 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.
• Familiarity with cloud platforms for ML Model training and deployment

We'll love to see:

• A track record of authoring publications in top conferences and journals
• Experience in law, tax or government affairs.

Salary Range = 00 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation, [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.