高级资深工程师, AI计算
Senior Staff Engineer, AI Compute
**我们提供兼职助理计划，允许计划中的助理每周工作20至32小时，按比例计算薪资，请在申请过程中提及这一点**
### 概述
高级资深工程师，AI计算（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、个性化的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资——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洁性。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，重新定义我们服务客户和企业的方式，这些客户已经爱上了我们所构建的产品和服务。
**团队描述：**
Capital One的机器学习平台组织管理我们的基于云的企业AI+ML系统，提供构建、编排和部署计算密集型AI系统所需的高规模开发人员和运行时环境，适用于实时和批量工作负载。我们正在寻找一位高级杰出工程师，一位热衷于分布式系统的动手技术领导者，负责为我们的平台设计和扩展基础计算能力。
你将利用你在构建大规模、高可用性和高性能系统方面的经验，在CPU和GPU基础架构上开发我们的通用计算基础设施。你的贡献将推动从开发人员笔记本到ML/ DL模型训练、模型推理和特征生成管道，再到预训练和微调基于Transformer的模型以及生成式AI推理和代理应用的一切。你在Golang和Python编程语言、流行的分布式计算框架（包括Spark / Dask / Ray / Flink）、容器（例如Kubernetes）和无服务器（例如AWS Lambda）运行时环境，以及ML+AI工作负载模式方面的专业知识将提供放大效应。
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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
Senior Staff Engineer, AI Compute (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 Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform.
You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success.
**In this role, you will** :
- Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform
- Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics
- Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows
- Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models
- Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions
- Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities
- Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool
**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, or Java
**Preferred Qualifications :**
- Master’s Degree in Computer Science or a Master’s Degree in Software Engineering
- Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management)
- Experience building platforms that support LLM training, fine-tuning, or high-throughput inference
- Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies
- History of upstream contributions to major distributed systems projects
_**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. Distinguished AI Engineer
Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer
McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer
New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer
Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer
San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer
San Jose, CA: $343,400 - $392,000 for Sr. 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).