
Posted 17 hours ago
Senior Machine Learning Engineer (AI Foundations)
Capital OneSenior Machine Learning Engineer (AI Foundations)
Requirements
Bachelor's Degree, 4+ years programming in Python, Scala, or Java, 3+ years designing data-intensive solutions, 2+ years with ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow), 1+ year productionizing and monitoring models
Skills
PythonPyTorchAWSLLMSpark
About the role
Responsibilities
- Design, build, and deliver ML models and components to solve real-world business problems in collaboration with Product and Data Science teams
- Inform ML infrastructure decisions regarding model choice, data selection, training, hyperparameter tuning, and validation
- Develop and validate ML models while writing and testing application code to automate deployment
- Retrain, maintain, and monitor models in production to ensure high availability and performance
- Construct optimized data pipelines and leverage cloud-based architectures to deliver scalable ML models
- Implement continuous integration and continuous deployment (CI/CD) best practices, including test automation and monitoring
- Ensure all code follows best practices in Responsible and Explainable AI and adheres to governance and risk standards
Requirements
- Bachelor’s Degree
- 4+ years of experience programming with Python, Scala, or Java
- 3+ years of experience designing and building data-intensive solutions using distributed computing
- 2+ years of experience with industry-recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
- 1+ year of experience productionizing, monitoring, and maintaining models
Preferred Qualifications
- 1+ years of experience building, scaling, and optimizing ML systems
- Experience developing and deploying ML solutions in public cloud environments (AWS, Azure, or GCP)
- Master's or doctoral degree in Computer Science, Electrical Engineering, Mathematics, or a related field
- 3+ years of experience with distributed file systems or multi-node database paradigms
- Experience designing and scaling complex data pipelines for ML models
- Contributions to open source ML software or authored research papers on ML techniques
Benefits
- Comprehensive and inclusive health, financial, and well-being benefits
- Performance-based incentive compensation, including potential cash bonuses or long-term incentives (LTI)
- Support for total well-being through various health and financial planning tools
About the Company
Capital One is accelerating the adoption of state-of-the-art AI research to create simpler, safer banking experiences for over 100 million customers. The AI Foundations team spearheads this mission by developing advanced LLMs and autonomous agentic systems capable of complex reasoning and real-world problem solving.
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Capital One · McLean
