Chief Data Scientist, Generative AI Systems Leader
4 weeks ago
About Capital One
Data is at the heart of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and cutting-edge technology in 1988.
Fast-forward to today, our passion for data has propelled us to a Fortune 200 company and a leader in the world of data-driven decision-making.
Your Role
As a Chief Data Scientist on the Generative AI Systems team within Card Data Science, you'll be part of a team that's leading the next wave of disruption at a whole new scale.
You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences.
Responsibilities
- Train, fine-tune, and customize large language models across multiple modalities—text, speech, and vision—for use in downstream applications such as dialogue and image processing.
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
- Leverage a broad stack of technologies—PyTorch, Hugging Face, Spark, LangChain, and more—to reveal insights hidden within huge volumes of numeric and textual data.
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
- Contribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP).
Requirements
- Creative problem-solver with hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Experience with clustering, classification, sentiment analysis, time series, and deep learning.
- At least 2 years' experience in open source programming languages for large-scale data analysis.
- At least 2 years' experience with machine learning.
- At least 2 years' experience with relational databases.
What We Offer
- A comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.
- A minimum annual salary of $201,400 for this role in New York City (Hybrid On-Site).
- The opportunity to work with a seasoned group of experts and contribute to cutting-edge projects.
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