Machine Learning Engineer

About The Company

Capital One is a leading diversified bank that offers a broad array of financial products and services to consumers, small businesses, and commercial clients. Renowned for its innovative approach to banking and technology-driven solutions, Capital One leverages advanced data analytics, machine learning, and digital platforms to deliver personalized and efficient customer experiences. The company is committed to fostering an inclusive and dynamic work environment where innovation and collaboration are at the forefront. With a focus on responsible growth and technological excellence, Capital One continues to be a pioneer in the financial industry, shaping the future of banking through cutting-edge solutions and a customer-centric approach.

About The Role

The Lead Machine Learning Engineer (Enterprise Platforms Technology) at Capital One is a pivotal role responsible for designing, developing, and deploying scalable machine learning solutions that drive business value. As a key member of an Agile team, you will focus on productionizing machine learning applications and ensuring their high availability and performance at scale. This role involves collaborating with cross-functional teams including Data Science, Operations, and Data Engineering to create innovative ML models and infrastructure. You will be instrumental in shaping the architecture of ML systems, making informed decisions on model deployment, and maintaining models in production environments. The position offers an excellent opportunity to stay at the forefront of machine learning innovation, applying the latest industry practices and emerging technologies to solve complex financial and operational challenges.

Qualifications

• Bachelor's Degree in Computer Science, Electrical Engineering, Mathematics, or related field
• Minimum of 6 years of experience in designing and building data-intensive solutions with distributed computing
• At least 4 years of programming experience with Python, Scala, or Java
• Minimum of 2 years of experience in building, scaling, and optimizing machine learning systems
• Proven experience with industry-recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
• Experience developing production-ready data pipelines for ML models
• Strong understanding of ML modeling techniques, data preparation, hyperparameter tuning, and model validation
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Leadership experience in managing and mentoring teams
• Excellent problem-solving and communication skills

Responsibilities

• Design, develop, and deliver machine learning models and components that address real-world business problems in collaboration with Product and Data Science teams
• Make informed decisions on ML infrastructure, including model selection, data, features, and training processes
• Write, test, and validate application code to solve complex problems, automate deployment, and ensure system robustness
• Collaborate within Agile teams to create and enhance software enabling advanced big data and ML applications
• Retrain, monitor, and maintain ML models in production environments to ensure optimal performance
• Leverage cloud-based architectures and platforms to deploy ML models at scale efficiently
• Construct and optimize data pipelines to support ML workflows
• Implement CI/CD practices, including automation, testing, and monitoring, to facilitate reliable deployment
• Ensure code security, model governance, and adherence to Responsible and Explainable AI principles
• Utilize programming languages like Python, Scala, or Java to develop scalable ML solutions

Benefits

• Comprehensive health, dental, and vision insurance plans
• Competitive salary packages aligned with industry standards
• Performance-based incentive compensation, including bonuses and long-term incentives
• Paid time off and holiday leave to promote work-life balance
• Retirement savings plans with company contributions
• Opportunities for professional development, training, and career advancement
• Inclusive and diverse workplace culture that values innovation and collaboration
• Support for remote work and flexible working arrangements where applicable

Equal Opportunity

Capital One is an equal opportunity employer committed to fostering an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected class under applicable law. We promote diversity and equal opportunity in all aspects of employment and are dedicated to providing a workplace free from discrimination and harassment. We consider qualified applicants with criminal histories in a manner consistent with applicable laws and regulations. We encourage individuals from all backgrounds to apply and join our team.