Principal Data Scientist (LLM/NLP)

Key Skills

AI technology, AWS, Azure, Caffe, Conversational AI, Deep Learning, Generative AI, Information Retrieval, Large Language Models - LLMs, Machine Comprehension, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Question Answering technologies, R Programming, SPARK Programming, SQL, TensorFlow

Job Description

Principal Data Scientist

Are you interested in joining a fast paced and cutting-edge organization where you can make an immediate impact on the business? Do you want to be an AI/ML advocate, using data to answer important questions and shape strategy for leadership? You can be a part of the Artificial Intelligence Center of Excellence (AI CoE) within Fidelity Institutional (FI) that constantly pushes the potential of data to drive the business forward! At Fidelity Institutional’s Artificial Intelligence Center of Excellence (FI AI COE), you won’t be just tinkering around the edges, you’ll be building critical solutions that will benefit our clients and internal stakeholders for years to come.

The FI AI COE is seeking a Director with experience in developing and implementing large language models (LLMs) and generative AI algorithms. The ideal candidate should have experience in developing applications that use generative models using deep learning techniques such as GPT-3, GPT-4, and other transformer-based models.

The Expertise and Skills You Bring (The order of these bullets does not matter)

• Minimum Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields
• 10+ years of prior work experience as a data scientist
• Hands on experience in most of the following: Generative AI, Large Language Models (LLMs) applications, Information Retrieval, Machine Comprehension, Question Answering/Conversational AI
• Relevant experience with organizations known for cutting edge/ best-in-class applications of Generative AI, LLMs. 4-5 projects deployed in production and delivering value would be ideal.
• Experience with finetuning LLMs as well as methods like chain of thought prompting, Reinforcement learning with Human Feedback (RLHF)
• Design experiments to evaluate the performance of LLMs and generative AI models
• Academic publication record and/or patent experience is strongly preferred
• Programming skills in Python, SQL, Spark, R, hands on experience on using AWS framework or Azure ecosystem is a plus
• Exposure to Deep Learning applications and tools like TensorFlow, PyTorch, Caffe is required.
• Passionate about staying current with the latest advancements in AI and machine learning, and eager to drive innovation
• Ability to partner closely with a diverse set of business stakeholders to identify needs and deliver AI/ML solutions

The Team

The Fidelity Institutional AI COE is a team of data scientists developing advanced analytics and artificial intelligence solutions to support a variety of different applications for a host of clients, both internal and external, across FI. The team occupies a unique position, able to understand the business problems that both our clients and internal partners face, while applying advanced analytics, machine learning, and visualization to solve problems and provide results-oriented solutions to market. Our team of high caliber scientists, mathematicians and statisticians use rigorous quantitative approaches to ensure that we are efficiently building algorithms and technology relevant to the business or customer experience issue at hand.

Please see below for the salary range for work locations in New York City, Westchester County, NY and Jersey City, NJ only: $130,000 – $218,000 per year

This position is eligible for incentive compensation or an annual bonus opportunity.