Sr. Distinguished AI Engineer (Remote Eligible)

About the role

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers.

Key Responsibilities

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
• 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.
• 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 of large scale production AI systems.
• Contribute to the technical vision and long term roadmap of foundational AI systems at Capital One.

Ideal Candidate

• Passion for staying abreast of the latest research and ability to apply novel techniques in production.
• Ability to bring clarity to big, undefined problems and articulate findings concisely.
• Deep technical expertise in engineering, mathematics, hardware, software, and AI.
• Resilient trail blazer who can forge new paths to achieve business goals.

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 these fields plus at least 8 years of experience.
• At least 10 years of experience programming with Python, Go, Scala, or Java.

Preferred Qualifications

• 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).
• Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems.
• Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP 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.
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software.
• Excellent communication and presentation skills.
• Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems.

Salary Information

Remote (Regardless of Location): $286,200 - $326,700
Cambridge, MA: $314,800 - $359,300
McLean, VA: $314,800 - $359,300
New York, NY: $343,400 - $392,000
San Francisco, CA: $343,400 - $392,000
San Jose, CA: $343,400 - $392,000

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits. Learn more at the Capital One Careers website.

Equal Opportunity Employer

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.

Job Details

Location: New York, NY, Remote (Regardless of Location)
Job Type: remote