Lead Machine Learning Engineer - ML/AI

Capital One • Cambridge, MA

75d • $193,400 - $240,800

About The Position

At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value.

Requirements

• Bachelor's degree.
• At least 6 years of experience designing and building data-intensive solutions using distributed computing.
• At least 4 years of experience programming with Python, Go, Scala, or Java.
• At least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).

Nice To Haves

• Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies.
• 6 years of experience designing, developing, delivering, and supporting AI services at scale.
• 3 years of experience developing AI and ML algorithms or technologies using Python.
• 2 years of experience with Retrieval Augmented Generation (RAG).
• Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure.
• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance.

Responsibilities

• Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers.
• Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
• Fine-tune, develop and evaluate machine learning and foundation models.
• Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities.
• Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
• Leverage a broad stack of Open Source and SaaS AI technologies.
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues.
• Retrain, maintain, and monitor models in production.
• Construct optimized data pipelines to feed ML models.
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.

Benefits

• Comprehensive health benefits.
• Financial benefits including performance-based incentive compensation.
• Inclusive set of benefits that support total well-being.

What This Job Offers

• Job Type: Full-time
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree