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: Distinguished Engineer, Generative AI Systems] About Us: At Capital One, our goal is to create trustworthy, reliable, and human-centered AI systems that improve the banking experience. We have been at the forefront of using machine learning to create intelligent automated customer experiences, from detecting unusual charges to providing real-time answers to customer queries. With our investments in cloud infrastructure and machine learning platforms, we are uniquely positioned to leverage the power of AI. Join us in building world-class applied science and engineering teams as we continue to innovate and develop breakthrough AI products that will transform how we serve our customers. Job Description: We are seeking an experienced Senior Distinguished Engineer to help us build the foundation for our enterprise AI capabilities. In this role, you will work on diverse initiatives, including designing secure infrastructure, building large-scale distributed training clusters, deploying AI models in real-time scenarios, and supporting cutting-edge AI research and development. Your expertise will contribute to the design and implementation of key services alongside a team of AI engineers and researchers. Some examples of projects you will work on include: - Designing fault-tolerant infrastructure to support large-scale training tasks, even in the event of node failures. - Building infrastructure for serving large machine learning models in the public cloud. - Implementing benchmarks to measure the performance of AI systems and providing technology recommendations. - Developing applications utilizing language and image models. - Designing and implementing capabilities to support MLOps for foundation models. Basic Qualifications: - Bachelor's degree in Computer Science, Computer Engineering, or a related technical field. - At least 7 years of experience designing and building distributed computing and large-scale ML systems. - At least 5 years of experience developing AI and ML algorithms in Python or C/C++. - At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: - Master's degree or PhD in Engineering, Computer Science, or a related technical field with a focus on modern AI techniques. - Experience designing large-scale distributed platforms and systems in cloud environments (such as AWS, Azure, or GCP). - Experience architecting cloud systems for security, availability, performance, scalability, and cost. - Experience with delivering large models through the MLOps lifecycle. - Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. - Experience with AI technology stack elements including prompt engineering, vector databases, LLM hosting, and fine-tuning. - Authored research publications or industry-recognized contributions in the field of neural networks, distributed training, and SysML. Location and Salary Information: - New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished Machine Learning Engineer - San Francisco, California (Hybrid On-Site): $285,400 - $325,700 for Distinguished Machine Learning Engineer - Remote (Regardless of Location): $228,300 - $260,600 for Distinguished Machine Learning Engineer Please note that salaries for part-time roles will be determined based on the agreed-upon number of hours. Benefits: At Capital One, we offer comprehensive, competitive, and inclusive benefits that support your overall well-being. Our benefits vary based on full or part-time status, management level, and other factors. To learn more about our benefits, visit our website: [link to Capital One Careers website] Application Information: This role is expected to be open for a minimum of 5 business days. Please note that we do not accept applications from agencies. Equality and Inclusion: Capital One is committed to diversity and inclusion in the workplace. We are an equal opportunity employer and do not discriminate based on factors such as sex, race, age, religion, disability, genetic information, marital status, sexual orientation, gender identity, citizenship, veteran status, or any other protected status under applicable laws. We promote a drug-free workplace and will consider applicants with a criminal history in accordance with applicable laws. Accommodations: If you require accommodations during the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email at [[email protected]]. We will keep all information confidential and use it only to provide the necessary accommodations. Technical Support: For technical support or questions about our recruiting process, please reach out to [[email protected]]. Note: This job ad covers positions in different locations, and the salary range for each location is specified. Capital One Financial consists of several entities, and positions in different countries are intended for those specific entities.