Machine Learning Researcher
ElevenLabsFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, and ideally a Master’s or Ph.D. degree. They must have hands-on experience building large deep learning models, including expertise in training optimization, self-supervised learning, robustness, explainability, and RLHF. Strong experience with open-source languages and cloud computing platforms, such as Pytorch and AWS Ultraclusters, is required. A professional track record of delivering high-quality ideas or improving upon existing ideas in machine learning, demonstrated by publications or projects, is also necessary.
The Applied Researcher I will partner with a cross-functional team to deliver AI-powered products, leveraging a broad stack of technologies to reveal insights from large datasets. They will build AI foundation models through all phases of development, from design to implementation, and engage in high-impact applied research to translate AI developments into customer experiences. This role also involves translating complex work into tangible business goals and challenging conventional thinking to improve the status quo, ultimately contributing to the development of trustworthy and reliable AI systems at Capital One.
Offers diverse financial products and services
Capital One provides a variety of financial services aimed at making banking accessible and easy for everyone. The company offers products such as credit cards, savings accounts, car loans, and business checking accounts, catering to both individual consumers and small businesses primarily in the United States. Capital One's approach includes user-friendly banking solutions with no fees or minimums for checking accounts, allowing customers to manage their finances more effectively. They generate revenue through interest on loans, credit card fees, and investment banking services. What sets Capital One apart from its competitors is its strong commitment to financial inclusion and literacy, demonstrated through community partnerships and educational initiatives, such as collaborations with Khan Academy. The company's goal is to create a more inclusive financial system and empower customers with the knowledge and tools they need to make informed financial decisions.