Jobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located.

Company Name: Capital One

Job Title: Senior Distinguished Engineer, Generative AI Systems (Remote- Eligible) About Us: At Capital One, our mission is to create trustworthy, reliable, and human-centered AI systems that revolutionize the banking industry. We have been using machine learning to enhance customer experiences, from detecting unusual charges to providing real-time assistance. With our investment in cloud infrastructure and machine learning platforms, we are now uniquely positioned to leverage the power of AI. We are dedicated to building exceptional science and engineering teams to continue our industry-leading capabilities and deliver innovative AI solutions. Join us in bringing the transformative power of AI to reimagine how we serve our diverse range of customers and businesses who rely on our products and services. About the Role: We are seeking an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI capabilities. You will work on various initiatives, such as designing robust and secure infrastructure, building large-scale distributed training clusters, deploying AI models for real-time use cases, and supporting cutting-edge AI research and development. You will collaborate with a team of AI engineers and researchers to envision our future capabilities and contribute to designing and implementing key services. Some of the projects you will work on include: - Designing and building fault-tolerant infrastructure for large-scale training tasks - Creating infrastructure to serve large ML models in the cloud - Deploying training clusters with optimized storage and networking capabilities - Implementing benchmarks to measure software performance within AI systems - Developing applications that leverage AI models - Designing and implementing capabilities to support MLOps for foundational models Requirements: - Bachelor's degree in Computer Science, Computer Engineering, or a related field - Minimum of 9 years of experience designing and building distributed computing and ML systems - Minimum of 6 years of experience developing AI and ML algorithms in Python or C/C++ - Minimum of 3 years of experience with the full ML development lifecycle using AI and ML frameworks in the public cloud Preferred Qualifications: - Master's degree or PhD in Engineering, Computer Science, or a related field, with a focus on modern AI techniques - Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP - Experience architecting cloud systems for security, availability, performance, scalability, and cost - Experience with MLOps life cycle for delivering large AI models - Experience with building GPU clusters in the public cloud with optimized storage and networking - Familiarity with AI technology stack including prompt engineering, vector databases/knowledge bases, and LLM hosting and fine-tuning - Research publications or industry-recognized contributions in neural networks, distributed training, or SysML Compensation: - Salaries vary based on location and work arrangement (remote or on-site) - New York City (Hybrid On-Site): $315,100 - $359,700 - San Francisco, California (Hybrid On-Site): $333,900 - $381,000 - Remote (Regardless of Location): $267,100 - $304,800 We Offer: Capital One offers a comprehensive and competitive benefits package that supports your total well-being. Our benefits vary based on full or part-time status, exempt or non-exempt status, and management level. To learn more, visit our Capital One Careers website. Equal Opportunity Employer: Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. We embrace individuals from all backgrounds, including gender, race, age, nationality, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, veteran status, or any other basis prohibited by applicable laws. We promote a drug-free workplace and provide equal opportunities to qualified applicants with a criminal history, as required by law. Accommodations: If you require accommodations during the application process, please contact Capital One Recruiting at 1-800-304-9102 or [email protected]. All information you provide will be kept confidential and used only to provide the necessary accommodations. Note: This role has a minimum application period of 5 business days. We do not accept applications from agencies. For Technical Support or Inquiries: For technical support or questions regarding our recruiting process, please email [email protected]. Please note that Capital One Financial consists of multiple entities, and job postings in specific locations are associated with the respective entity.