Machine Learning Engineer

About The Company Capital One is a leading financial services company committed to innovation and customer-centric solutions. Renowned for its technological advancements and data-driven approach, Capital One strives to deliver exceptional banking experiences through cutting-edge digital platforms and innovative financial products. With a focus on fostering a diverse and inclusive workplace, the company emphasizes continuous learning, collaboration, and responsible growth. Capital One's dedication to leveraging emerging technologies positions it as a pioneer in the financial industry, dedicated to meeting the evolving needs of its customers and communities. About The Role The Machine Learning Engineer 3 role at Capital One offers an exciting opportunity to be at the forefront of artificial intelligence and machine learning innovations within a dynamic and collaborative environment. As a key member of the AI and technology team, you will be responsible for designing, developing, deploying, and maintaining scalable machine learning models that address complex business challenges. This role involves working closely with cross-functional teams, including data scientists, data engineers, and product managers, to build impactful solutions that enhance customer experiences and operational efficiency. You will utilize your expertise in advanced algorithms, open-source frameworks, and cloud technologies to scale AI initiatives across the organization. The position provides a platform to influence major AI transformations, contribute to responsible AI practices, and innovate with emerging technologies to shape the future of financial services. Qualifications The ideal candidate will possess a strong educational background in computer science, machine learning, or related quantitative fields, along with substantial professional experience. A bachelor's degree or higher in fields such as Statistics, Economics, Engineering, or Mathematics is required. Candidates should have at least three years of programming experience with Python, Java, Golang, or C++, and a minimum of two years working with industry-standard ML frameworks like PyTorch or TensorFlow. Experience with large-scale distributed systems such as Spark or Ray, as well as deploying ML models in cloud environments like AWS, GCP, or Azure, is essential. Preferred qualifications include a master's or doctoral degree, additional experience in optimizing ML algorithms, building resilient production systems, and authoring scholarly work in the field. Knowledge of advanced model architectures, training techniques, and data pipeline construction will be advantageous. Responsibilities Design, develop, and implement 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 processes.Write, test, and deploy application code, automate testing procedures, and ensure models operate effectively in production environments.Collaborate within agile teams to create and enhance software enabling advanced big data and machine learning applications.Monitor, retrain, and maintain models in production to ensure continued accuracy and performance.Leverage cloud platforms and build scalable architectures to deliver ML solutions efficiently.Construct and optimize data pipelines that facilitate high-quality data feeding into ML models.Implement CI/CD best practices, including automated testing and deployment, to ensure seamless model updates.Ensure all code adheres to security standards, models are governed responsibly, and AI practices are transparent and explainable.Utilize programming languages such as Python, Scala, or Java to develop robust ML systems. Benefits Capital One offers a comprehensive benefits package designed to support the health, well-being, and financial security of its employees. This includes competitive salaries, performance-based incentives, and long-term incentives. Employees have access to extensive health insurance options, retirement plans, paid time off, and wellness programs. The company fosters a culture of continuous learning through training and development opportunities, mentorship programs, and access to cutting-edge tools and technologies. Flexible work arrangements and a commitment to diversity and inclusion ensure a supportive environment where all employees can thrive. Additionally, Capital One provides resources for work-life balance, financial planning, and community engagement, emphasizing holistic employee well-being. Equal Opportunity Capital One is an equal opportunity employer committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. We promote diversity and inclusion in our hiring practices, workplace culture, and community engagement. Capital One also complies with all applicable laws and regulations regarding equal employment opportunity and strives to provide a fair and respectful workplace for everyone. We welcome applicants from diverse backgrounds and are dedicated to supporting the success of all employees.