Machine Learning Engineer

About The Company

Capital One is a leading diversified financial services company renowned for its innovative approach to banking and technology. With a strong focus on digital transformation, Capital One leverages cutting-edge technology to deliver exceptional financial products and services to millions of customers nationwide. The company emphasizes a culture of inclusion, integrity, and continuous innovation, fostering an environment where talented professionals can thrive. Capital One's commitment to responsible banking and technological excellence positions it as a pioneer in the financial industry, dedicated to transforming the way people manage their finances.

About The Role

As a Lead Machine Learning Engineer specializing in Generative AI at Capital One, you will play a pivotal role in advancing the company's AI capabilities. You will be part of the GenAI Workflows Serving team, an agile and dynamic group tasked with designing, developing, and deploying large-scale Generative AI applications and Agentic Workflow systems. Your expertise will be instrumental in creating scalable, secure, and high-performance machine learning solutions that power innovative customer experiences and operational efficiencies. This role requires a deep understanding of cloud-native platforms, machine learning frameworks, and modern deployment practices, with a focus on building resilient ML serving architectures that meet the demands of real-time, high-volume AI applications.

Qualifications

The ideal candidate will possess a combination of technical expertise, leadership skills, and industry experience. Basic qualifications include a Bachelor's Degree in Computer Science, Electrical Engineering, or a related field, along with at least six years of experience in designing and building data-intensive solutions using distributed computing frameworks. You should have a minimum of four years of programming experience in Python, Scala, Go, or Java, and at least two years of experience developing, scaling, and optimizing machine learning systems. Preferred qualifications include a Master's or Doctoral Degree, extensive experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn, and a proven track record of developing production-ready data pipelines and deploying ML solutions in cloud environments like AWS, Azure, or Google Cloud Platform. Leadership experience, contributions to industry research, or open-source projects will be considered a strong advantage.

Responsibilities

• Design, develop, and deploy Generative AI models and components that address complex business challenges, collaborating closely with product and data science teams to ensure alignment with organizational goals.
• Implement cloud-native machine learning serving platforms utilizing technologies such as Docker, Kubernetes, KNative, and KServe to facilitate scalable and efficient model deployment.
• Solve scaling and high-availability challenges by writing performant application code in Python and Go, automating testing and deployment processes, and validating ML models in production environments.
• Apply advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD), managing the full lifecycle of models and applications with tools like ArgoCD.
• Leverage service mesh architectures such as Istio to manage traffic, improve security, and ensure resilience of high-volume serving endpoints.
• Monitor, retrain, and maintain models in production, ensuring optimal performance and compliance with governance standards.
• Construct and optimize scalable data pipelines to efficiently feed machine learning models, ensuring data quality and integrity.
• Ensure all code adheres to security standards, reducing vulnerabilities, and implementing responsible AI practices, including explainability and fairness.
• Utilize programming languages such as Python, Go, Scala, or Java to develop resilient, maintainable, and high-performance applications.

Benefits

Capital One offers a comprehensive suite of benefits designed to support the overall well-being of its employees. These include competitive health, dental, and vision insurance plans, flexible work arrangements, and wellness programs. Employees have access to financial benefits such as 401(k) plans, employee stock purchase plans, and performance-based incentives including bonuses and long-term incentives. The company emphasizes professional development through training, mentorship, and opportunities for career advancement. Additionally, Capital One fosters an inclusive and collaborative work environment that values diversity, innovation, and work-life balance. Specific benefits may vary based on location and employment status, with detailed information available on the company’s careers portal.

Equal Opportunity

Capital One is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic. We believe that a diverse workforce enhances our ability to serve our customers and innovate effectively. We also provide reasonable accommodations to qualified individuals with disabilities throughout the employment process. Capital One’s policies adhere to all applicable federal, state, and local laws, ensuring a fair and respectful environment for all employees and applicants.