Join Capital One as a Senior Machine Learning Engineer and be part of an Agile team that builds and optimizes machine learning applications. You'll work on exciting projects that solve real-world problems while continuously learning and applying the latest ML innovations.
Key Responsibilities
Design, build, and deliver ML models and components that solve real-world business problems
Inform ML infrastructure decisions based on understanding of ML modeling techniques
Solve complex problems through application code and ML model development
Collaborate with cross-functional Agile teams for big data and ML applications
Retrain, maintain, and monitor models in production
Leverage cloud-based architectures for optimized ML models
Construct optimized data pipelines for ML models
Implement best practices in continuous integration and deployment
Manage code to reduce vulnerabilities and ensure responsible AI practices
Required Qualifications
Bachelor’s degree
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience designing and building data-intensive solutions using distributed computing
At least 2 years of experience with industry-recognized ML frameworks (e.g., scikit-learn, PyTorch, Dask, Spark, TensorFlow)
At least 1 year of experience productionizing, monitoring, and maintaining models
Preferred Qualifications
1+ years of experience building, scaling, and optimizing ML systems
1+ years of experience with data gathering and preparation for ML models
2+ years of experience developing performant, resilient, and maintainable code
Experience developing and deploying ML solutions in a public cloud (AWS, Azure, Google Cloud Platform)
Master's or doctoral degree in computer science, electrical engineering, mathematics, or similar field
3+ years of experience with distributed file systems or multi-node database paradigms
Contributed to open source ML software
Authored/co-authored a paper on a ML technique, model, or proof of concept
3+ years of experience building production-ready data pipelines that feed ML models
Experience designing, implementing, and scaling complex data pipelines for ML models
Benefits & Perks
Comprehensive health benefitsFinancial benefitsInclusive workplace culture