iHire
Lead Machine Learning Engineer
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 allow us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our AI & ML applications bring humanity and simplicity to banking. You will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers.
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.
Ideal Candidate
You love to build systems, take pride in the quality of your work, and share our passion to do the right thing to change banking for good.
You are a passionate communicator, comfortable explaining complex technical concepts to non‑technical partners across the business and sometimes in front of large audiences.
Passion for staying abreast of the latest research and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity.
You are deeply technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss.
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
Strategic & Business‑Oriented: You think beyond technology and deeply understand business needs and how AI can solve them.
Highly Collaborative & Transparent: You work seamlessly across engineering, product, and data science teams, communicate progress, blockers, and decisions clearly and proactively.
Technically Mature & Humble: You bring clarity to complex, undefined problems and articulate findings concisely.
Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most, adapting to evolving priorities.
A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact.
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.
Compensation and Benefits Cambridge, MA: $193,400–$220,700 | New York, NY: $211,000–$240,800 | Richmond, VA: $175,800–$200,700. This role is eligible to earn performance‑based incentive compensation, including cash bonus(es) and long‑term incentives. Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being.
Additional Information Capital One is an equal opportunity employer (EOE, including disability/veteran) 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.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at [phone removed] or via email at [email removed] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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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.
Ideal Candidate
You love to build systems, take pride in the quality of your work, and share our passion to do the right thing to change banking for good.
You are a passionate communicator, comfortable explaining complex technical concepts to non‑technical partners across the business and sometimes in front of large audiences.
Passion for staying abreast of the latest research and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity.
You are deeply technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss.
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
Strategic & Business‑Oriented: You think beyond technology and deeply understand business needs and how AI can solve them.
Highly Collaborative & Transparent: You work seamlessly across engineering, product, and data science teams, communicate progress, blockers, and decisions clearly and proactively.
Technically Mature & Humble: You bring clarity to complex, undefined problems and articulate findings concisely.
Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most, adapting to evolving priorities.
A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact.
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.
Compensation and Benefits Cambridge, MA: $193,400–$220,700 | New York, NY: $211,000–$240,800 | Richmond, VA: $175,800–$200,700. This role is eligible to earn performance‑based incentive compensation, including cash bonus(es) and long‑term incentives. Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being.
Additional Information Capital One is an equal opportunity employer (EOE, including disability/veteran) 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.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at [phone removed] or via email at [email removed] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
#J-18808-Ljbffr