$150K-220K a year
Lead the development and deployment of scalable machine learning models, collaborate with cross-functional teams, mentor engineering teams, research emerging AI technologies, design data pipelines, ensure system reliability and compliance, communicate technical concepts, and contribute to thought leadership.
10+ years of experience in machine learning or related fields, advanced proficiency in ML frameworks, strong background in statistical modeling and deep learning, cloud platform expertise, leadership experience, and advanced degree in a relevant discipline.
Job Title: Distinguished Machine Learning Engineer - Capital One Software (Remote) Company Overview: Capital One is a leading financial services company committed to using technology and data to transform the banking experience. Since launching our first credit card in 1994, we have been pioneers in leveraging innovation to deliver personalized solutions to millions of customers. Our culture fosters creativity, collaboration, and continuous learning to drive meaningful impact. Role Overview: As a Distinguished Machine Learning Engineer at Capital One, you will play a critical role in advancing our AI and machine learning capabilities. You will lead the design and implementation of cutting-edge models that power personalized financial products and services, driving innovation across the enterprise. This role requires a visionary technologist with deep expertise in machine learning and a passion for solving complex business challenges. What You'll Do: - You will lead the development and deployment of scalable machine learning models to enhance customer experiences. - You will collaborate with cross-functional teams including data scientists, engineers, and product managers to define AI strategies. - You will mentor and guide engineering teams to adopt best practices in machine learning and software development. - You will research and integrate emerging AI technologies to maintain Capital One’s competitive edge. - You will design robust data pipelines and feature engineering processes to support model training and evaluation. - You will ensure the reliability, security, and compliance of machine learning systems in production. - You will communicate complex technical concepts to both technical and non-technical stakeholders. - You will contribute to thought leadership by publishing papers, presenting at conferences, and participating in industry forums. What You Bring: - You have 10+ years of experience in machine learning, data science, or related fields. - You possess advanced proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks. - You have a strong background in statistical modeling, deep learning, and algorithm development. - You demonstrate expertise in cloud platforms such as AWS, Azure, or Google Cloud. - You have experience leading large-scale ML projects and mentoring engineering teams. - You hold a Master’s or PhD degree in Computer Science, Data Science, or a related discipline. Bonus Points If You Have: - Experience with natural language processing (NLP) and computer vision applications. - Familiarity with MLOps tools and practices for continuous integration and deployment. - Prior experience in the financial services industry or fintech startups. - Contributions to open-source ML projects or active participation in AI research communities. What We Offer: - We offer a fully remote work environment with flexible hours to support work-life balance. - We offer competitive salary packages with performance-based bonuses. - We offer comprehensive health, dental, and vision insurance plans. - We offer professional development opportunities including conferences, certifications, and training. - We offer a collaborative and inclusive culture that values innovation and diversity. Ready to Apply? To join our team as a Distinguished Machine Learning Engineer, please submit your resume and cover letter through the Capital One careers portal. We look forward to exploring how your expertise can drive the future of financial technology with us.
This job posting was last updated on 9/9/2025