Machine Learning Engineer

About The Company
Capital One is a leading diversified financial services company renowned for its innovative approach to banking and credit solutions. With a strong emphasis on leveraging technology and data analytics, Capital One strives to deliver exceptional customer experiences and innovative financial products. The company operates across various segments including credit cards, auto loans, savings accounts, and commercial banking, serving millions of customers nationwide. Committed to fostering a culture of inclusion, integrity, and continuous improvement, Capital One invests heavily in technology-driven initiatives to stay ahead in the competitive financial landscape. Its dedication to responsible banking and community support underscores its mission to make financial services more accessible and beneficial for all.
About The Role
We are seeking a highly experienced Senior Staff Machine Learning Engineer to join our dynamic team at Capital One. This role offers an exciting opportunity to lead the development and deployment of advanced machine learning models that address complex business challenges within the financial services industry. As a key contributor, you will be instrumental in driving AI transformation initiatives, scaling production models, and establishing best practices across the organization. You will collaborate with cross-functional teams including product managers, data scientists, software engineers, and architects to deliver innovative solutions that enhance customer experiences and operational efficiencies. The ideal candidate will possess a deep technical expertise in machine learning, large-scale system design, and cloud-based deployment, with a passion for pioneering new technologies and mentoring engineering talent.
Qualifications
The 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, Economics, Operations Research, Analytics, Mathematics, or Engineering. A minimum of 10 years of programming experience with languages like Python, Java, Golang, or C++ is required. Candidates should have at least 8 years of hands-on experience working with industry-standard machine learning frameworks such as PyTorch or TensorFlow, along with libraries like Pandas, NumPy, and Scikit-learn. Extensive experience operating large-scale distributed systems like Spark or Ray to prepare data for AI applications is essential. Additionally, candidates must demonstrate proficiency in deploying and managing ML solutions in cloud environments such as AWS, GCP, or Azure, utilizing container orchestration tools like Kubernetes. Preferred qualifications include advanced degrees (Master’s or Doctorate), experience designing resilient production ML systems, and a proven track record of leadership and innovation in the ML industry.
Responsibilities
Deliver high-quality machine learning models and software components that solve challenging business problems, collaborating closely with product, architecture, engineering, and data science teams.
Lead the creation, refinement, and evolution of ML models and software systems that enable intelligent, scalable solutions.
Drive large-scale ML initiatives with a focus on customer impact and operational excellence.
Leverage cloud-based architectures and technologies to deliver optimized ML solutions at scale, ensuring robustness and efficiency.
Optimize data pipelines to ensure seamless feeding of data into ML models, enhancing model performance and reliability.
Utilize programming languages such as Python, Scala, Java, and GoLang to develop and implement ML solutions.
Employ 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 nurture engineering talent, fostering a culture of innovation, collaboration, and continuous learning.
Benefits
Capital One offers a comprehensive and competitive benefits package designed to support your overall well-being and professional growth. Employees are eligible for health, dental, vision, and wellness programs, along with financial benefits such as 401(k) plans, stock options, and performance-based incentives. The organization promotes work-life balance through flexible work arrangements and generous paid time off policies. Additionally, employees have access to ongoing training and development opportunities, including technical certifications, leadership programs, and industry conferences. Capital One’s inclusive culture ensures a supportive environment where diversity is valued, and every team member can thrive. The company also provides resources for mental health, financial wellness, and community engagement initiatives, reflecting its commitment to holistic employee support.
Equal Opportunity
Capital One is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic. We are dedicated to providing a work environment that respects and values individual differences and promotes equal opportunity for all employees and applicants. Capital One complies with all applicable federal, state, and local laws and regulations regarding non-discrimination and equal employment opportunity. We also support reasonable accommodations for individuals with disabilities and those requiring assistance during the application process. Our commitment to diversity and inclusion is integral to our success and innovation as a leading financial services provider.

Work arrangement
Yes