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About the Role

Capital One is building a new AI native platform to empower our broader business community to execute AI assisted analysis. This platform will intertwine deterministic code with non-deterministic reasoning systems and both frontier and home grown AI models to transform how the company works in the data analysis space. This role is remote eligible.

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 — scalability, cost, latency, throughput — of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

Requirements

• Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies.
• At least 8 years of experience programming with Python, Go, Scala, or Java.
• 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
• Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems.
• Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP 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.
• Master's degree in Computer Science, Computer Engineering, or relevant technical field.
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
• Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production.
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

Skills

• AI
• ML
• Python
• Go
• Scala
• Java
• AWS Ultraclusters
• Huggingface
• VectorDBs
• Nemo Guardrails
• PyTorch
• LLM Inference
• Similarity Search
• VectorDBs
• Guardrails
• Memory

Location

• Remote
• Cambridge, MA
• McLean, VA
• New York, NY
• San Francisco, CA
• San Jose, CA

Work Type

• Remote
• Full-time

Experience Level

• 8 years of experience
• 6 years of experience

Education Level

• Bachelor's degree in Computer Science, Engineering, or AI
• Master's degree in Computer Science, Computer Engineering, or relevant technical field

Salary/Compensations

• Remote (Regardless of Location): $244,700 - $279,200
• Cambridge, MA: $269,100 - $307,200
• McLean, VA: $269,100 - $307,200
• New York, NY: $293,600 - $335,100
• San Francisco, CA: $293,600 - $335,100
• San Jose, CA: $293,600 - $335,100

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

About the Company

• At Capital One, we are creating responsible and reliable AI systems, changing banking for good.
• Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences.
• Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI.
• From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking.
• We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
• At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Equal Opportunity

• Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
• Capital One promotes a drug-free workplace.
• Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.