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Applied Researcher Ii
Cambridge, MA Job Title: Applied Researcher II – AI Foundations Team Salary: $276,000 - $333,700 annually (depending on location) Experience: PhD with 2 years or MS with 4 years of experience in Applied Research H1: Join our AI Foundations Team as an Applied Researcher II at Capital One H2: Help transform banking for good by leveraging AI and ML technologies Overview: - Join a team at the forefront of AI research and development in the banking industry - Collaborate with cross-functional teams to deliver AI-powered products that enhance customer experiences - Utilize cutting-edge technologies to extract insights from large volumes of data - Engage in high-impact applied research to drive the next generation of customer experiences - Translate complex technical work into tangible business goals The AI Foundations Team: - Central to Capital One's vision for AI, responsible for all aspects of the research life cycle - Partner with academia and collaborate with product, technology, and business leaders to apply AI to our business - Opportunity to work with a broad stack of technologies, including Pytorch, AWS Ultraclusters, Huggingface, and more Responsibilities: - Collaborate with cross-functional teams to deliver AI-powered products - Leverage cutting-edge technologies to extract insights from large volumes of data - Build AI foundation models through all phases of development - Engage in high-impact applied research to drive the next generation of customer experiences - Translate complex technical work into tangible business goals The Ideal Candidate: - Passionate about AI and making a positive impact - Continuously researching and evaluating emerging technologies - Thrives on solving big, undefined problems and not afraid to share new ideas - A leader who challenges conventional thinking and is passionate about talent development - Technical expertise in open-source languages and hands-on experience with AI foundation models and cloud computing platforms - Deep understanding of AI methodologies and experience building large deep learning models - Experience delivering libraries, platform level code, or solution level code to existing products - Demonstrated ability to come up with new ideas or improve upon existing ideas in machine learning Basic Qualifications: - PhD with at least 2 years of experience or MS with at least 4 years of experience in Applied Research - Currently has or is in the process of obtaining a PhD Preferred Qualifications: - PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields - Experience in NLP research or a Masters degree with 5 years of industrial NLP research experience - Multiple publications on topics related to pre-training of large language models - Experience training a large language model from scratch with 10B parameters and 500B tokens - Publications in deep learning theory and top AI conferences - Deep knowledge of deep learning algorithmic and/or optimizer design - Experience with compiler design and optimizing training for large deep learning models - Experience deploying a fine-tuned large language model Salary Information: - Minimum and maximum full-time annual salaries for this role vary by location - Part-time roles will be prorated based on agreed upon number of hours - New York City (Hybrid On-Site): $276,000 - $315,000 for Applied Researcher II - San Francisco, California (Hybrid On-site): $292,400 - $333,700 for Applied Researcher II Incentives: - This role is eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives (LTI) - Incentives may be discretionary or non-discretionary depending on the plan Benefits: - Comprehensive, competitive, and inclusive benefits package that supports total well-being - Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level Application Process: - Expected to accept applications for a minimum of 5 business days - No agencies please Equal Opportunity Employer: - Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace - All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law - Capital One promotes a drug-free workplace Accommodations: - If you require an accommodation, please contact Capital One Recruiting at **MEMBERS ONLY**SIGN UP NOW*** or via email at **MEMBERS ONLY**SIGN UP NOW*** - All information provided will be kept confidential and used only to provide necessary accommodations Technical Support: - For technical support or questions about Capital One's recruiting process, please send an email to **MEMBERS ONLY**SIGN UP NOW*** Disclaimer: - Capital One does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site - Capital One Financial is made up of several different entities, and any posted positions are specific to Capital One Canada, Capital One Europe, or Capital One Philippines Service Corp. 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