Machine Learning Engineer

About The CompanyCapital One is a leading diversified financial services company renowned for its innovative approach to banking and credit. With a strong emphasis on technology-driven solutions, Capital One leverages data analytics, artificial intelligence, and cutting-edge frameworks to deliver personalized financial products and services to millions of customers. Committed to fostering a collaborative and inclusive work environment, the company continually invests in its people and technology to stay ahead in the competitive financial landscape. Capital One’s mission is to transform banking through innovative technology, creating seamless experiences that meet the evolving needs of its customers.About The RoleThe Machine Learning Engineer 4 at Capital One is a pivotal role designed for professionals passionate about pioneering advancements in artificial intelligence and machine learning. This role involves designing, developing, and deploying scalable ML models that address complex business challenges. As part of a dynamic, cross-functional team, you will work closely with data scientists, product managers, and operations teams to create innovative solutions that enhance customer experience and operational efficiency. You will be at the forefront of AI transformation initiatives, leveraging open source frameworks and cloud technologies to scale models effectively across various platforms. This position offers an exciting opportunity to contribute to high-impact projects, influence strategic decisions, and drive technological innovation within the company.QualificationsThe ideal candidate will possess a strong educational background with a Bachelor’s Degree or higher in Computer Science, Machine Learning, or related quantitative fields such as Statistics, Mathematics, or Engineering. Candidates should demonstrate a minimum of 4 years of experience in programming languages such as Python, Java, Golang, or C++, with extensive experience in deploying machine learning models using industry-standard frameworks like PyTorch or TensorFlow. Proven expertise in working with large-scale distributed systems such as Spark or Ray is essential, along with at least 2 years of experience operating ML solutions in cloud environments like AWS, GCP, or Azure, and managing containerized applications with Kubernetes. Preferred qualifications include a Master’s or Doctoral degree, additional experience in optimizing ML algorithms, building resilient software solutions, and authorship of relevant research papers or publications in the field.ResponsibilitiesDesign, develop, and deploy machine learning models and components that solve real-world business problems in collaboration with product and data science teams.Make informed decisions regarding ML infrastructure, including model selection, feature engineering, hyperparameter tuning, and validation techniques.Write, test, and maintain application code to automate model training, testing, deployment, and monitoring processes.Collaborate within agile, cross-functional teams to create innovative software solutions that facilitate advanced big data and ML applications.Retrain, monitor, and maintain models in production environments, ensuring optimal performance and accuracy over time.Leverage cloud-based architectures and platforms to deploy scalable ML solutions efficiently.Construct and optimize data pipelines to support ML model training and evaluation workflows.Implement CI/CD best practices, including automated testing, continuous deployment, and monitoring to ensure reliable model and application delivery.Ensure all code and models adhere to security, compliance, and governance standards, emphasizing responsible and explainable AI principles.Utilize programming languages such as Python, Scala, or Java to develop and maintain ML solutions.BenefitsCapital One offers a comprehensive benefits package designed to support the health, financial well-being, and overall satisfaction of its employees. This includes competitive salaries, performance-based incentives, and long-term incentives that recognize individual and team contributions. Employees have access to a wide range of health insurance options, wellness programs, retirement plans, and paid time off. The company fosters a culture of continuous learning and development through training programs, mentorship, and opportunities for career advancement. Additionally, Capital One promotes a flexible work environment, encouraging work-life balance, diversity, and inclusion. Employees also benefit from various employee resource groups and community engagement initiatives that reinforce the company’s commitment to social responsibility.Equal OpportunityCapital One is an equal opportunity employer committed to fostering an inclusive environment for all employees and applicants. The company does not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. Capital One values diversity and inclusion, ensuring that everyone has equal access to employment opportunities, advancement, and support. The company also adheres to all federal, state, and local laws regarding non-discrimination and fair employment practices. If you require accommodations during the application process, Capital One encourages you to contact their recruiting team to ensure a smooth and accessible experience.