Capital One
Manager, Data Scientist, Generative AI Systems (Genesis)
Capital One, Chicago, Illinois, United States, 60290
Role Description
In this role, you will: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 loveLeverage a broad stack of technologies - PyTorch, Hugging Face, Spark, LangChain and more - to reveal the insights hidden within huge volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationContribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP)The Ideal Candidate is:
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 open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor's Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start dateAt least 2 years' experience in open source programming languages for large scale data analysisAt least 2 years' experience with machine learningAt least 2 years' experience with relational databasesPreferred Qualifications:
PhD in 'STEM' field (Science, Technology, Engineering, or Mathematics) or non-STEM but AI-adjacent field plus 3 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 4 years' experience in Python for large scale data analysisAt least 4 years' experience with machine learningAt least 4 years' experience with SQL
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In this role, you will: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 loveLeverage a broad stack of technologies - PyTorch, Hugging Face, Spark, LangChain and more - to reveal the insights hidden within huge volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationContribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP)The Ideal Candidate is:
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 open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor's Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start dateAt least 2 years' experience in open source programming languages for large scale data analysisAt least 2 years' experience with machine learningAt least 2 years' experience with relational databasesPreferred Qualifications:
PhD in 'STEM' field (Science, Technology, Engineering, or Mathematics) or non-STEM but AI-adjacent field plus 3 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 4 years' experience in Python for large scale data analysisAt least 4 years' experience with machine learningAt least 4 years' experience with SQL
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