Join Capital One as a Senior AI Solutions Engineer!
At Capital One, we are on a mission to build responsible and groundbreaking AI systems that transform the banking experience. For years, we have been at the forefront of machine learning, delivering real-time and personalized interactions for our customers. Our commitment to technology and talent, coupled with our deep expertise in AI, positions us to lead the way in reimagining how banking operates. This is your chance to be part of a team that enhances customer service through innovative AI applications, making banking more human and accessible.
Team Description :
The Intelligent Foundations and Experiences (IFX) team is pivotal in realizing our ambitious AI vision at Capital One. We collaborate closely with cross-functional partners to advance AI science and engineering. We build and deploy proprietary solutions that deliver immense value to millions of clients. Our AI models empower teams across the organization to integrate cutting-edge AI capabilities into their products responsibly and efficiently.
In this role, you will :
Collaborate with a diverse team of engineers, research scientists, technical program managers, and product managers to create AI-driven products that enhance our associates' work and improve customer interactions.
Design, develop, test, deploy, and maintain AI software components, including foundation model training, large language model inference, similarity search, model evaluation, and observability.
Utilize a wide range of open-source and SaaS AI tech stacks, such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch, among others.
Introduce state-of-the-art LLM optimization techniques to enhance the scalability, cost-effectiveness, and efficiency of large-scale AI systems.
Contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.
The Ideal Candidate :
You are passionate about building systems, take pride in your work quality, and are dedicated to promoting ethical solutions. You want to tackle challenges that can revolutionize the banking sector.
You are eager to stay updated with the latest research and can effectively translate scientific advancements into practical applications.
Quickly adaptable, you excel at clarifying complex challenges and articulating your insights clearly. You embrace new ideas, even the untested ones.
Your strong technical background in engineering and mathematics allows you to identify optimization opportunities in hardware, software, and AI.
As a resilient innovator, you can navigate uncertainties to meet business objectives.
Basic Qualifications :
Bachelor's degree in Computer Science, AI, Electrical Engineering, or related fields with 3 years of experience in AI and ML algorithm development; alternatively, a Master's degree in the same fields with 1 year of relevant experience.
Proficient in programming with Python, Go, Scala, or Java for at least 3 years.
Preferred Qualifications :
4 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, or Azure.
Experience in developing and supporting AI services.
Hands-on experience with AI and ML algorithms, including LLM inference, similarity search, and optimization techniques using languages like Python, C++, C#, Java, or Go.
Expertise in optimizing training and inference software to enhance performance metrics like latency, throughput, and cost.
Come join us at Capital One where your contributions will impact millions of customers! We are excited to see what you can bring to our innovative team.
The minimum and maximum full-time annual salaries for this role are 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; San Jose, CA : $173,000 - $197,400. Actual salary will be based on experience. This role is also eligible for performance-based incentives, including cash bonuses and / or long-term incentives.
Capital One values diversity and is an equal opportunity employer. We encourage qualified applicants from all backgrounds to apply.
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