Machine Learning Engineer

The Staff Machine Learning Engineer at Capital One plays a pivotal role in driving the company’s AI and machine learning initiatives. This position involves designing, developing, and deploying large-scale, production-ready machine learning models that address complex business challenges within the financial services sector. The engineer will collaborate with cross-functional teams including Data Science, Product, Architecture, and Engineering to create innovative solutions that improve customer experience, optimize operational efficiency, and support strategic decision-making. The role offers an exciting opportunity to lead large-scale ML projects, leverage cloud technologies, and influence the future of AI-driven banking solutions., * Design, develop, and deliver machine learning models and software components to solve challenging business problems in financial services

• Lead the creation and enhancement of ML models and intelligent systems that enable advanced capabilities
• Manage and execute large-scale ML initiatives with a focus on customer impact and operational excellence
• Utilize cloud-based architectures and technologies to deploy scalable ML models efficiently
• Optimize data pipelines to ensure high-quality data feeds for ML models
• Write, test, and maintain code using programming languages such as Python, Scala, Java, and GoLang
• Leverage compute technologies like Dask and RAPIDS to accelerate data processing and model training
• Promote best practices throughout the engineering and modeling lifecycle, including version control, testing, and documentation
• Mentor and develop engineering talent, fostering a culture of innovation and continuous improvement

• Bachelor’s Degree or higher in Computer Science, Machine Learning, Data Science, Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering
• Minimum 8 years of programming experience with Python, Java, Golang, or C++
• At least 6 years of hands-on experience with Machine Learning frameworks such as PyTorch or TensorFlow, along with libraries like Pandas, NumPy, and Scikit-learn
• Minimum 6 years of experience working with large-scale distributed systems such as Spark or Ray for data preparation and processing
• At least 5 years of deploying and managing production ML solutions in cloud environments (AWS, GCP, Azure) using container orchestration tools like Kubernetes

• Competitive salary packages aligned with industry standards and geographic location
• Performance-based incentives, including cash bonuses and long-term incentives
• Comprehensive health, dental, and vision insurance coverage
• Retirement savings plans and financial wellness programs
• Paid time off, holidays, and flexible work arrangements
• Opportunities for professional development, training, and conference participation
• Inclusive and collaborative work environment that values diversity

Equal Opportunity

Capital One is a leading financial services organization committed to innovation, customer-centric solutions, and leveraging cutting-edge technology to meet the evolving needs of its clients. Recognized for its forward-thinking approach, Capital One integrates advanced data analytics, machine learning, and AI-driven solutions to enhance banking experiences, streamline operations, and deliver personalized financial products. With a strong emphasis on diversity, inclusion, and professional growth, the company fosters a collaborative environment where talented individuals can thrive and make impactful contributions to the industry.