> Markdown version of [/jobs/ext/1242494-principal-associate-data-scientist-llm-customization-team](https://www.wearedevelopers.com/jobs/ext/1242494-principal-associate-data-scientist-llm-customization-team). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Associate, Data Scientist - LLM Customization Team - **Company:** Capital One Financial Corporation - **Location:** New York, NY, United States - **Salary:** $161,800.0 - $184,600.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, Open Source Technology, Cloud Platform System, Pytorch, Large Language Models, Deep Learning, Information Technology, HuggingFace, Data Analytics - **Published:** July 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1b2f54d95428acc8 ## About the Role * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. * Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products., Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field), * Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) * At least 1 year of experience working with AWS * At least 3 years' experience in Python, Scala, or R * At least 3 years' experience with machine learning * Experience with Large Language Models (LLM), Finetuning, and Deep Learning ## Description * Partner with a cross-functional team of data scientists, applied researchers, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies - Pytorch, Hugging Face, AWS Ultraclusters, LangChain, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features. * Build NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. ## Related Videos - [Data Privacy in LLMs: Challenges and Best Practices](https://www.wearedevelopers.com/videos/1218-data-privacy-in-llms-challenges-and-best-practices) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Fireside Chat: Deep Learning, Deep Impact: Harnessing AI for Language Innovation](https://www.wearedevelopers.com/videos/612-fireside-chat-deep-learning-deep-impact-harnessing-ai-for-language-innovation) - [Unlocking the Power of AI: Accessible Language Model Tuning for All](https://www.wearedevelopers.com/videos/951-unlocking-the-power-of-ai-accessible-language-model-tuning-for-all) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Exploring 5 Key Applications of AI Abundance with Blockchain Assurance](https://www.wearedevelopers.com/videos/971-exploring-5-key-applications-of-ai-abundance-with-blockchain-assurance) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market) - [Got AI ideas but no money? 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