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Bloomberg’s Engineering AI department has 300+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.

At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.

Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.

The advent of large language models (LLMs) presents new opportunities for expanding our NLP capabilities in our products. As a Senior LLM Engineer in the AI Department, you will have the opportunity to make key technical decisions which help define the future of infrastructure for LLM training and inference at Bloomberg! Join the AI Department as a Senior LLM Engineer and you will have the opportunity to:

+ Build production LLM systems to power business functions in the Bloomberg Terminal

+ Optimize and support LLM workloads in on-prem HPC and cloud environments

+ Contribute to internal initiatives related to LLM research and development

+ Work with specialized hardware for tensor computations

You'll need to have:

+ 4+ years of programming experience with an object-oriented programming language

+ A degree in Computer Science, Engineering or similar field of study or equivalent work experience

+ Experience in designing, developing, and supporting ML applications

+ Understanding of ML model architectures, specifically, transformers, and underlying computations

+ Experience in profiling, benchmarking and optimizing ML applications

We’d love to see:

+ Deep working proficiency in Python

+ Experience in using HPC compute platforms and understanding anatomy of distributed computations

+ Proficiency with various ML accelerators (NVIDIA GPUs, TPUs, other vendor ASICs) and building efficient workloads for them

+ Solid understanding of networking (Infiniband, AWS EFA, RoCE)

+ Experience managing infrastructure in Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).

We give back to the technology community and you can read more about our outreach at: http://www.techatbloomberg.com/ai

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [email protected]