Overview:
Join Capital One as a Lead AI Engineer in AI Foundations, where you will have the opportunity to shape the future of banking through innovative AI solutions. Capital One is dedicated to developing responsible and effective AI systems that enhance the customer experience. With a strong foundation in technology and machine learning, we are at the forefront of AI applications in banking. From notifying customers of suspicious activities to providing real-time assistance, we leverage AI to simplify banking and create value for millions of customers.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is integral to our AI vision at Capital One. We collaborate with various partners to push the boundaries of AI and engineering, crafting proprietary solutions that deliver significant value across the organization. Our AI models and platforms empower teams to enhance products responsibly and effectively.
In this role, you will:
Collaborate with a diverse team of engineers, researchers, and product managers to develop AI-driven products that revolutionize customer interactions and associate workflows.
Design, build, and support components related to AI, including foundation models, large language models, similarity search, and governance.
Utilize cutting-edge Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
Innovate state-of-the-art LLM optimization techniques to enhance the performance and efficiency of large-scale AI systems.
Contribute to the strategic vision and roadmap for foundational AI systems within Capital One.
The Ideal Candidate:
You are passionate about building impactful systems, ensuring high-quality work, and making a positive change in banking.
You stay informed about the latest research and adeptly apply new techniques in real-world applications.
You thrive in challenging environments, demonstrating a capacity for deep problem-solving and clarity of thought.
You possess strong technical skills, with a robust foundation in engineering and mathematics that allows you to optimize systems effectively.
You are a resilient and innovative thinker, ready to navigate uncharted territories to meet business objectives.
Basic Qualifications:
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields, with at least 3 years of experience in AI and ML development; or a Master's degree with at least 1 year of experience.
At least 3 years programming experience in Python, Go, Scala, or Java.
Preferred Qualifications:
4 years of experience developing scalable AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).
Experience in delivering and supporting AI services.
Proficiency in developing AI technologies (e.g., LLM Inference, Similarity Search, Guardrails) using Python, C++, C#, Java, or Golang.
Expertise in optimizing AI training and inference for improved performance and efficiency.
Capital One is open to sponsoring qualified applicants for employment authorization for this role.
The salary range for this position is as follows:
Cambridge, MA: $158,600 - $181,000
McLean, VA: $158,600 - $181,000
New York, NY: $173,000 - $197,400
San Francisco, CA: $173,000 - $197,400
Note: Actual salary will depend on the applicant's location. The role may also include performance-based incentives such as bonuses. Capital One offers a comprehensive benefits package that promotes employee well-being.
This position will accept applications for a minimum of 5 business days.
Capital One is an equal opportunity employer committed to diversity and inclusion.
For accommodations related to the application process, please reach out to Capital One Recruiting. Confidentiality will be maintained.