Senior LLM Engineer - Artificial Intelligence
BloombergOverview
Join Bloomberg's Engineering AI department, a hub of 300+ AI practitioners dedicated to building innovative 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. As a Senior LLM Engineer, you will play a pivotal role in expanding our group and contributing to the development of AI-driven customer-facing products.
Responsibilities
- 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.
Qualifications
- 4+ years of programming experience with an object-oriented programming language.
- A degree in Computer Science, Engineering, or a 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.
Preferred Skills
- Deep working proficiency in Python.
- Experience using HPC compute platforms and understanding the 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).
About Bloomberg
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. Our technology solutions connect influential communities across the global financial ecosystem, enabling more informed decisions and better collaboration.
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