Staff Applied Researcher

We need to output HTML fragment with sections: About the role? The posting includes Overview, Team Description, The Ideal Candidate, Key Responsibilities, Basic Qualifications, Preferred Qualifications, Pay (salary ranges), Benefits (mention of benefits), maybe Schedule? No schedule info. So we include sections where there is real content: Overview (maybe as About the role), Team Description, The Ideal Candidate (maybe as Qualifications?), Key Responsibilities, Basic Qualifications, Preferred Qualifications, Pay, Benefits. Also maybe "Overview" could be "About the role". Use

for each section heading. We must not repeat job title as heading. No Job ID. Remove boilerplate: EEO, accommodation, etc. Also remove application instructions like "No agencies please." etc. Also remove duplicated lines. We need to preserve all substantive information. So we need to include the content from Overview, Team Description, The Ideal Candidate, Key Responsibilities, Basic Qualifications, Preferred Qualifications, Pay (salary ranges per location), Benefits (mention of comprehensive benefits). Also maybe note about performance based incentive compensation. We need to format lists with

• for any list of duties/requirements/benefits. Use

  for prose. We need to decide which content is list vs prose. For responsibilities: they are bullet-like sentences separated by periods? In the text: "Partner with a cross-functional team ...", "Build AI foundation models ...", "Engage in high impact applied research ...", "Leverage a broad stack of technologies ...", "Flex your interpersonal skills ...". Those can be list items. For Ideal Candidate: list of traits: Innovative, Creative, A leader, Technical, etc. Could be list. Basic Qualifications: could be list items. Preferred Qualifications: list items. Pay: we have salary ranges per location. Could be a

  with each location line. Benefits: mention of comprehensive benefits, performance based incentive compensation. Could be list. We must not include placeholder text like "commensurate with experience". Not present. We must not include sections with no real content. So we will include sections: About the role (Overview), Team Description, Ideal Candidate (maybe as Qualifications?), Key Responsibilities, Basic Qualifications, Preferred Qualifications, Pay, Benefits. We need to ensure we don't duplicate content. Let's extract. Overview paragraph: "At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build." Team Description: "The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will:" Then bullet list of responsibilities (the same as Key Responsibilities? Actually after "In this role, you will:" they list same as Key Responsibilities. Then later there is a separate "Key Responsibilities:" section with similar bullet list. Might be duplicate. We need to preserve all substantive information but avoid duplication. We can combine them. The bullet points after "In this role, you will:" are: - Partner with a cross-functional team of data scientists, 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, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. - Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. - Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. - Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Then later "Key Responsibilities:" list: - Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. - Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation - Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences - Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data - Flex your interpersonal skills to translate the complexity of your work into tangible business goals Slight variations: first bullet mentions "data scientists, software engineers, machine learning engineers and product managers" vs "scientists, machine learning engineers, software engineers, and product managers". Also "AI-powered products" vs "AI-powered platforms and solutions". Also order differs. We should keep both? They are substantively similar but not identical. To preserve all substantive info, we could merge them, but we risk losing nuance. Better to keep both as separate list items? But that would duplicate similar points. The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." So we should keep each distinct statement. If they are similar but not identical, we keep both. However we could combine them into a single list that includes all unique points. But that might be summarizing away detail (if we drop some nuance). Safer to keep both lists as separate
  under same heading? But that would be repetitive. However the instruction also says "Prefer a few substantive sections over many thin ones." It doesn't forbid duplicate content within a section. But we should avoid duplication if possible? Not explicitly forbidden. It says "do NOT invent or summarize away detail." Duplication is not inventing or summarizing away; it's preserving. So we could keep both. But we also have "The Ideal Candidate:" section with bullet-like paragraphs: "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." etc. Those are sentences separated by periods. We can turn each trait into list item. Basic Qualifications: "PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research". That's one sentence with two options. Could be list item. Preferred Qualifications: multiple bullet-like sentences: "PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields", "LLM", "PhD focus on NLP or Masters with 10 years of industrial NLP research experience", "Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs", "Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)", "Has worked on an LLM (open source or commercial) that is currently available for use", "Demonstrated ability to guide the technical direction of a large-scale model training team", "Experience with common training optimization frameworks (deep speed, nemo)", "Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs". Some duplicates. Pay: Salary ranges per location: list each. Benefits: "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level." Also "This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan." We should include that as benefits. Now produce HTML. Structure:

  About the role

  Overview paragraph.

  Team Description

  Team description paragraph up to "In this role, you will:" then maybe we include the bullet list after that as part of responsibilities? Actually the bullet list after "In this role, you will:" is responsibilities. We could put that under Key Responsibilities heading instead. To avoid duplication, we could put the bullet list under Key Responsibilities and not repeat under Team Description. But Team Description paragraph ends with "In this role, you will:" and then the list. If we move list to Key Responsibilities, we need to adjust Team Description paragraph to end before the list. Let's extract Team Description paragraph without the list: "The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community." That seems fine. Then Key Responsibilities heading with list (we can combine both lists but deduplicate? We'll keep both lists as separate

  maybe but that repeats similar points. Let's decide to merge them into a single list that includes all unique points, preserving nuance by keeping variations. We can create list items that capture each distinct bullet from both sets, maybe merging similar but keeping both if they differ. Let's list all distinct bullet points: From first set (after "In this role, you will:"): 1. Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. 2. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. 3. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. 4. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. 5. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. From second set (Key Responsibilities): 1. Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver