Staff AI Engineer (Remote Eligible)
for each section heading. Use - for any list of duties/requirements/benefits. Use
for prose.
We must preserve ALL substantive information; do not invent or summarize away detail. So we need to include all details from the lists.
Let's extract details.
About the role prose: Combine intro paragraphs and team description.
Intro: "At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact."
We can combine into a few paragraphs.
Responsibilities list: bullet points:
- Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
- Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
- Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
- Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
- Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
Requirements (Basic Qualifications):
- Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies
- At least 8 years of experience programming with Python, Go, Scala, or Java
Qualifications (Preferred Qualifications):
- 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
- Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
- Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
- Master's degree in Computer Science, Computer Engineering, or relevant technical field
- Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
- Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production
- Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
Skills (Ideal Candidate traits):
- You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing.
- You want to work on problems that will help change banking for good
- Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production
- You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity.
- You have the courage to share new ideas even when they are unproven
- You are deeply technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss
- You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown
Also note: "Capital One is open to hiring a Remote Employee for this opportunity." Could be placed under Benefits or maybe a separate note but we have no specific heading for remote work; could be included in Benefits paragraph.
Also: "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." Could be under Benefits or maybe under Requirements? It's about sponsorship; could be under Benefits as part of overall offerings.
Benefits: statement about comprehensive benefits, incentive compensation, remote work eligibility, sponsorship.
We need to keep all substantive info: "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being." 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." Also "Capital One is open to hiring a Remote Employee for this opportunity." Also "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position."
We could combine into a Benefits section with a paragraph and maybe a list for bullet points? The instruction: Use
- for any list of duties/requirements/benefits. So we can make a list for benefits items.
Thus Benefits section could have
- items: comprehensive health, financial, other benefits; performance based incentive compensation (cash bonus/LTI); remote work eligibility; sponsorship for employment authorization.
We need to avoid boilerplate like "Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level." That's also substantive? It's about benefits eligibility; we could include it but it's somewhat generic. Might keep as part of benefits prose.
But we need to preserve ALL substantive information; we cannot drop details unless they are boilerplate like EEO, legal, accommodation, etc. The eligibility statement is substantive about benefits; we should keep it.
Thus Benefits section could have a paragraph: "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level." Then a list: performance based incentive compensation (cash bonus/LTI), remote work eligibility, sponsorship for employment authorization.
Alternatively we could incorporate remote work and sponsorship as list items.
Pay section: need to include salary ranges per location. The posting includes a table-ish list: Remote (Regardless of Location): $244,700 - $279,200 for Distinguished AI Engineer; Cambridge, MA: $269,100 - $307,200; McLean, VA: $269,100 - $307,200; New York, NY: $293,600 - $335,100; Richmond, VA: $244,700 - $279,200; San Francisco, CA: $293,600 - $335,100; San Jose, CA: $293,600 - $335,100. Also note about other locations.
We need to preserve all that info. Could present as a
- list.
We must not include the note about "Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter." That's also substantive; we should keep
for prose. We must preserve ALL substantive information; do not invent or summarize away detail. So we need to include all details from the lists. Let's extract details. About the role prose: Combine intro paragraphs and team description. Intro: "At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact." We can combine into a few paragraphs. Responsibilities list: bullet points: - Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One - Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. - Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more - Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems - Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One Requirements (Basic Qualifications): - Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies - At least 8 years of experience programming with Python, Go, Scala, or Java Qualifications (Preferred Qualifications): - 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) - Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems - Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level - Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang - Master's degree in Computer Science, Computer Engineering, or relevant technical field - Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost - Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production - Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Skills (Ideal Candidate traits): - You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. - You want to work on problems that will help change banking for good - Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production - You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. - You have the courage to share new ideas even when they are unproven - You are deeply technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss - You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Also note: "Capital One is open to hiring a Remote Employee for this opportunity." Could be placed under Benefits or maybe a separate note but we have no specific heading for remote work; could be included in Benefits paragraph. Also: "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." Could be under Benefits or maybe under Requirements? It's about sponsorship; could be under Benefits as part of overall offerings. Benefits: statement about comprehensive benefits, incentive compensation, remote work eligibility, sponsorship. We need to keep all substantive info: "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being." 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." Also "Capital One is open to hiring a Remote Employee for this opportunity." Also "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." We could combine into a Benefits section with a paragraph and maybe a list for bullet points? The instruction: Use
- for any list of duties/requirements/benefits. So we can make a list for benefits items.
Thus Benefits section could have
- items: comprehensive health, financial, other benefits; performance based incentive compensation (cash bonus/LTI); remote work eligibility; sponsorship for employment authorization.
We need to avoid boilerplate like "Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level." That's also substantive? It's about benefits eligibility; we could include it but it's somewhat generic. Might keep as part of benefits prose.
But we need to preserve ALL substantive information; we cannot drop details unless they are boilerplate like EEO, legal, accommodation, etc. The eligibility statement is substantive about benefits; we should keep it.
Thus Benefits section could have a paragraph: "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level." Then a list: performance based incentive compensation (cash bonus/LTI), remote work eligibility, sponsorship for employment authorization.
Alternatively we could incorporate remote work and sponsorship as list items.
Pay section: need to include salary ranges per location. The posting includes a table-ish list: Remote (Regardless of Location): $244,700 - $279,200 for Distinguished AI Engineer; Cambridge, MA: $269,100 - $307,200; McLean, VA: $269,100 - $307,200; New York, NY: $293,600 - $335,100; Richmond, VA: $244,700 - $279,200; San Francisco, CA: $293,600 - $335,100; San Jose, CA: $293,600 - $335,100. Also note about other locations.
We need to preserve all that info. Could present as a
- list. We must not include the note about "Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter." That's also substantive; we should keep
- items: comprehensive health, financial, other benefits; performance based incentive compensation (cash bonus/LTI); remote work eligibility; sponsorship for employment authorization.
We need to avoid boilerplate like "Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level." That's also substantive? It's about benefits eligibility; we could include it but it's somewhat generic. Might keep as part of benefits prose.
But we need to preserve ALL substantive information; we cannot drop details unless they are boilerplate like EEO, legal, accommodation, etc. The eligibility statement is substantive about benefits; we should keep it.
Thus Benefits section could have a paragraph: "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level." Then a list: performance based incentive compensation (cash bonus/LTI), remote work eligibility, sponsorship for employment authorization.
Alternatively we could incorporate remote work and sponsorship as list items.
Pay section: need to include salary ranges per location. The posting includes a table-ish list: Remote (Regardless of Location): $244,700 - $279,200 for Distinguished AI Engineer; Cambridge, MA: $269,100 - $307,200; McLean, VA: $269,100 - $307,200; New York, NY: $293,600 - $335,100; Richmond, VA: $244,700 - $279,200; San Francisco, CA: $293,600 - $335,100; San Jose, CA: $293,600 - $335,100. Also note about other locations.
We need to preserve all that info. Could present as a