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 Job Description: At Capital One, our mission is to create trustworthy, reliable, and user-friendly AI systems that bring positive change to the banking industry. We have been at the forefront of using machine learning to enhance customer experiences, from detecting unusual charges to providing real-time support. With our investments in cloud infrastructure and machine learning platforms, we are in a unique position to leverage the power of AI. We are dedicated to building exceptional science and engineering teams to drive innovation and deliver scalable AI solutions that transform how we serve our customers. We are seeking an experienced Senior Distinguished Engineer to help establish the foundation of our enterprise AI capabilities. In this role, you will collaborate with a team of AI engineers and researchers to envision and design our future capabilities. You will work on various projects, including creating robust and secure infrastructure, building large-scale training clusters, deploying models for real-time use cases, and supporting cutting-edge AI research. Your work will have a direct impact on our ability to provide exceptional AI-driven products and services. Responsibilities: - Design and build fault-tolerant infrastructure to support large-scale training tasks reliably - Develop infrastructure for serving large ML models using public cloud platforms - Deploy training clusters optimized for storage and networking to take advantage of parallel processing - Create benchmarks to evaluate the performance of AI systems and make technology recommendations - Develop applications utilizing advanced AI techniques - Implement capabilities to support MLOps for foundation models Basic Qualifications: - Bachelor's degree in Computer Science, Computer Engineering, or a related technical field - At least 9 years of experience in designing and building distributed computing and large-scale ML systems - At least 6 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 field with a focus on modern AI techniques - Experience designing large-scale distributed platforms in cloud environments (AWS, Azure, GCP) - Knowledge of cloud systems architecture for security, availability, performance, scalability, and cost optimization - Experience with MLOps and large model deployment - Experience with GPU clusters in the public cloud - Familiarity with ML development tools such as Pytorch, Tensorflow, and Lightning - Knowledge of AI technology stack including prompt engineering, guardrails, vector databases, LLM hosting, and fine-tuning - Published research or recognized contributions in the field of neural networks, distributed training, and SysML To apply, please send your resume and cover letter to [email protected] We are an equal opportunity employer and welcome applicants from diverse backgrounds. Salary Information: - New York City (Hybrid On-Site): $315,100 - $359,700 per year - San Francisco, California (Hybrid On-Site): $333,900 - $381,000 per year - Remote (Regardless of Location): $267,100 - $304,800 per year Note: The salary range may vary based on location and employment status. Part-time roles will be prorated accordingly. Capital One offers a comprehensive and inclusive set of benefits to support your well-being. For more details, visit our website: [link to benefits page] If you require an accommodation during the application process, please contact Capital One Recruiting at 1-800-304-9102 or email [email protected] We value diversity and inclusion in the workplace and are an equal opportunity employer. For technical support or questions about the recruitment process, email [email protected] Please note that Capital One Financial is comprised of different entities. Positions in Canada are for Capital One Canada, positions in the UK are for Capital One Europe, and positions in the Philippines are for Capital One Philippines Service Corp. (COPSSC).