iHire
Overview
Lead Machine Learning Engineer - ML/AI at Capital One within Risk Tech. We build AI-powered systems to support risk management and deliver customer value through state-of-the-art AI technology. 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 ML infrastructure decisions using 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. The Ideal Candidate
You love to build systems, take pride in the quality of your work, and share a passion to do the right thing, solving problems that will help change banking for good. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business. Passion for staying abreast of the latest research and applying novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems; you ask questions, dig deep, and communicate findings clearly. You have a strong technical foundation in engineering and mathematics, with the ability to optimize across hardware, software, and AI. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. You stay current with AI research and apply novel techniques in production judiciously and with business impact. Qualifications
Basic Qualifications
Bachelor\'s degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) 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) Preferred Qualifications
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 Additional Details
This role is not sponsoring immigration assistance. Salary ranges are location-based and provided for candidate consideration. This role is eligible for performance-based incentives. Capital One offers a comprehensive benefits package; eligibility varies by status. Equal Employment Opportunity : Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination. Capital One promotes a drug-free workplace and may consider qualified applicants with criminal histories in accordance with applicable laws. If you require accommodation during the application process, please contact Capital One Recruiting. All information provided will be kept confidential and used only to provide needed reasonable accommodations.
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Lead Machine Learning Engineer - ML/AI at Capital One within Risk Tech. We build AI-powered systems to support risk management and deliver customer value through state-of-the-art AI technology. 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 ML infrastructure decisions using 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. The Ideal Candidate
You love to build systems, take pride in the quality of your work, and share a passion to do the right thing, solving problems that will help change banking for good. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business. Passion for staying abreast of the latest research and applying novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems; you ask questions, dig deep, and communicate findings clearly. You have a strong technical foundation in engineering and mathematics, with the ability to optimize across hardware, software, and AI. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. You stay current with AI research and apply novel techniques in production judiciously and with business impact. Qualifications
Basic Qualifications
Bachelor\'s degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) 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) Preferred Qualifications
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 Additional Details
This role is not sponsoring immigration assistance. Salary ranges are location-based and provided for candidate consideration. This role is eligible for performance-based incentives. Capital One offers a comprehensive benefits package; eligibility varies by status. Equal Employment Opportunity : Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination. Capital One promotes a drug-free workplace and may consider qualified applicants with criminal histories in accordance with applicable laws. If you require accommodation during the application process, please contact Capital One Recruiting. All information provided will be kept confidential and used only to provide needed reasonable accommodations.
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