资深AI工程师 - 企业分析平台
Staff AI Engineer - Enterprise Analysis Platform
**我们提供兼职助理计划，该计划允许计划中的助理每周工作20至32小时，并按比例支付薪资，请在申请过程中提及这一点**
### 概述
资深AI工程师 - 企业分析平台（可远程）
### 在Capital One，我们正在创建负责任且可靠的AI系统，为银行业带来积极的改变。多年来，Capital One一直致力于利用机器学习打造实时、个性化的客户体验。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的前沿。从告知客户异常费用到实时回答他们的问题，我们的AI和ML应用正在为银行业带来人性化和简便性。我们致力于继续建立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，交付行业领先的能力建设。在Capital One，你将帮助将新兴AI能力的变革力量带入，重新定义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。
### **团队描述：**
### 智能基础与体验（IFX）团队目前正在构建一个新的AI原生平台，以使我们更广泛的业务社区能够跨我们的多个业务线执行AI辅助分析。我们正在构建一个AI原生、大规模（目的地用户超过15,000人）的企业平台，将确定性代码与非确定性推理系统以及前沿和自研AI模型相结合，以改变公司在数据分析领域的运作方式。
### **Capital One对该职位开放远程员工的招聘。**
### **在此职位中，你将：**
- ## 与由工程师、研究科学家、技术项目经理和产品经理组成的跨职能团队合作，交付改变我们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、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，例如AWS Ultr
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**We offer a Part-Time Associate Program which allows associates in the program to work 20 to 32 hours per week at a prorated salary, please mention this in your application process**
### Overview
Staff AI Engineer - Enterprise Analysis Platform (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 currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space.
### **Capital One is open to hiring a Remote Employee for this opportunity.**
### **In this role, you will:**
- ## 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
### **The Ideal Candidate:**
- ## 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
### **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
### **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
### **_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): $244,700 - $279,200 for Distinguished AI Engineer
Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer
McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer
New York, NY: $293,600 - $335,100 for Distinguished AI Engineer
San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer
San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer
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.
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 the [Capital One Careers website](https://www.capitalonecareers.com/benefits). 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 [RecruitingAccommodation@capitalone.com](mailto:RecruitingAccommodation@capitalone.com). 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 [Careers@capitalone.com](mailto:Careers@capitalone.com)
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).