资深AI工程师（可远程）
Sr. Staff AI Engineer (Remote Eligible)
高级人工智能工程师（远程可选）
在Capital One，我们正在打造负责任且可靠的AI系统，为银行业带来积极的改变。多年来，Capital One一直是利用机器学习创造实时、个性化客户体验的行业领导者。我们在技术基础设施和世界级人才方面的投入——以及我们在机器学习方面的深厚经验——使我们能够处于企业利用AI的最前沿。从告知客户异常费用到实时回答他们的疑问，我们的AI和ML应用正在为银行业带来人性化和简便性。我们致力于继续建设世界级的应用科学和工程团队，以突破性的产品体验和可扩展的高性能AI基础设施，交付我们领先的行业能力。在Capital One，你将帮助将新兴AI能力的变革力量带入，重新构想我们如何服务我们的客户和那些喜爱我们所构建的产品和服务的企业。
团队介绍：
智能基础与体验（IFX）团队是实现Capital One AI愿景的核心。我们与公司内部的合作伙伴紧密协作，推动科学和AI工程的前沿发展，并构建和部署对我们的业务至关重要的专有解决方案，为数百万客户提供价值。我们的AI模型和平台使Capital One各团队能够以负责任且可扩展的方式，利用AI的变革力量提升其产品。
你将负责：
- 与跨职能的工程师、研究科学家、技术项目经理和产品经理团队合作，交付改变我们的员工工作方式和客户与Capital One互动方式的AI驱动产品。
- 设计、开发、测试、部署和支持AI软件组件，包括基础模型训练、大语言模型推理、代理和多代理工作流、相似性搜索、安全机制、模型评估、实验、治理和可观测性等。
- 利用广泛的开源和SaaS AI技术栈，如AWS Ultraclusters、Huggingface、VectorDBs、PyTorch等。
- 发明并引入最先进的基础模型优化技术，以提升大规模生产AI系统的性能——可扩展性、成本、延迟、吞吐量等。
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Sr. Staff AI Engineer (Remote Eligible)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.
What You’ll Do:
- 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, agents and multi-agent workflows, 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, PyTorch, and more.
- Invent and introduce state-of-the-art foundation model 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.
- Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale
- Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide
- Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture
- Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One’s AI technical leadership
Capital One is open to hiring a Remote Employee for this opportunity.
Basic Qualifications:
- Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies
- At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java
Preferred Qualifications:
- Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy
- 9+ 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 SVP level
- Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
- Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
- Experience in building agentic AI systems and agentic workflows
- Passion for staying abreast 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
- Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership
- Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance
- Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams
- Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact
- Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI EngineerCambridge, MA: $314,800 - $359,300 for Sr. Staff AI EngineerMcLean, VA: $314,800 - $359,300 for Sr. Staff AI EngineerNew York, NY: $343,400 - $392,000 for Sr. Staff AI EngineerSan Francisco, CA: $343,400 - $392,000 for Sr. Staff AI EngineerSan Jose, CA: $343,400 - $392,000 for Sr. Staff AI EngineerCandidates 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.
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.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Originally posted on Himalayas