Machine Learning Engineer

About The Company
Capital One is a leading diversified bank renowned for its innovative approach to banking and financial services. Committed to leveraging technology and data-driven insights, Capital One strives to deliver exceptional customer experiences and create value through digital transformation. The company fosters a culture of collaboration, inclusivity, and continuous learning, encouraging its employees to innovate and challenge the status quo. With a focus on responsible growth and community engagement, Capital One maintains its position as a trusted partner for millions of customers nationwide and globally.
About The Role
We are seeking a highly experienced Senior Manager and People Leader in Machine Learning Engineering to join our dynamic team at Capital One. This pivotal role involves spearheading the development, deployment, and scaling of advanced machine learning models and infrastructure that drive strategic business initiatives. As a senior leader, you will oversee a team of talented engineers, foster innovation, and ensure the delivery of robust, scalable, and responsible AI solutions. Your expertise will be instrumental in shaping the future of AI at Capital One, enabling the organization to stay at the forefront of technological advancements and industry best practices.
Qualifications
The ideal candidate will possess a Bachelor's Degree or higher in Computer Science, Machine Learning, or a related quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering. A minimum of 6 years of programming experience with languages like Python, Java, Golang, or C++ is required, along with extensive experience in machine learning frameworks such as PyTorch or TensorFlow. Candidates should have at least 6 years working with large-scale distributed systems like Spark or Ray for data preparation, and 4 years deploying and managing ML solutions in cloud environments such as AWS, GCP, or Azure, with proficiency in Kubernetes. Leadership experience managing and mentoring teams for at least 1 year is essential. Preferred qualifications include advanced degrees (Master's or Doctorate), more extensive leadership experience, and contributions to the industry through publications, open-source projects, or patents.
Responsibilities
Lead the design, development, and deployment of innovative machine learning models that address complex business challenges, collaborating closely with product and data science teams.
Build and maintain scalable, multi-tenant platforms capable of supporting large-scale ML training and serving operations.
Make informed decisions on ML infrastructure, including model selection, data management, feature engineering, hyperparameter tuning, and validation techniques, ensuring optimal performance and efficiency.
Develop, test, and automate application code for ML models, ensuring robustness and reliability in production environments.
Collaborate within Agile teams to create and enhance software solutions that leverage big data and AI technologies.
Oversee the retraining, monitoring, and maintenance of models in production to ensure continued accuracy and relevance.
Leverage cloud technologies and architectures to deliver ML solutions at scale, including constructing data pipelines and managing infrastructure.
Implement best practices in CI/CD, automated testing, and deployment to streamline operations and reduce vulnerabilities.
Ensure compliance with governance standards, responsible AI principles, and explainability requirements to mitigate risks associated with ML models.
Utilize programming languages such as Python, Scala, or Java to develop and optimize ML systems.
Mentor and develop engineering talent, fostering a culture of innovation and continuous improvement.
Recruit, nurture, and retain top engineering talent to build a high-performing team.
Stay current with industry trends, participate in knowledge-sharing activities, and contribute to the broader AI community through conferences, publications, or open-source projects.
Benefits
Capital One offers a comprehensive benefits package designed to support the health, financial well-being, and overall life balance of its employees. This includes competitive health insurance plans, retirement savings options, paid time off, and wellness programs. The company also provides opportunities for professional development through training, certifications, and participation in industry events. Additionally, employees may be eligible for performance-based incentives, including bonuses and long-term incentives. Capital One promotes a flexible work environment and values diversity and inclusion, fostering a workplace where all employees can thrive and grow.
Equal Opportunity
Capital One is an equal opportunity employer committed to fostering an inclusive environment for all employees and applicants. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic under applicable laws. We also consider qualified applicants with criminal histories in a manner consistent with legal requirements. Capital One promotes a drug-free workplace and provides reasonable accommodations for individuals with disabilities or those in need of assistance during the application process. We encourage diverse talent to join our team and contribute to our mission of responsible growth and innovation.

Work arrangement
Yes