Senior Machine Learning Engineer - Python, AI

Salary: $144,200 - 181,000 per year Requirements:

• Bachelors degree
• Minimum of 4 years of programming experience in Python, Scala, or Java (Internship experience does not apply)
• At least 3 years of experience in designing and developing data-intensive solutions utilizing distributed computing
• Minimum of 2 years of hands-on experience with recognized ML frameworks (such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
• At least 1 year of experience in productionizing, monitoring, and maintaining models
• Preferred Qualifications:
• Over 1 year of experience in building, scaling, and optimizing ML systems
• More than 1 year of experience in data gathering and preparation for ML models
• At least 2 years of experience in developing high-performance, resilient, and maintainable code
• Experience with deploying ML solutions in a public cloud environment like AWS, Azure, or Google Cloud Platform
• Masters or doctoral degree in computer science, electrical engineering, mathematics, or related field
• More than 3 years of experience with distributed file systems or multi-node database architectures
• Contributions to open-source ML software
• Authorship of a paper on a ML technique, model, or proof of concept
• Over 3 years of experience in building production-ready data pipelines for ML models
• Experience designing, implementing, and scaling complex data pipelines for ML models and assessing their performance

• Collaborate closely with Product and Data Science teams to design, develop, and implement ML models and components that address real-world business challenges
• Utilize your knowledge of ML modeling techniques to inform decisions regarding ML infrastructure, including model selection, data handling, feature selection, training, hyperparameter optimization, dimensionality reduction, bias/variance management, and validation
• Tackle complex challenges by writing and testing application code, developing and validating ML models, and automating deployment and testing processes
• Engage as part of a cross-functional Agile team to create and improve software enabling advanced big data and ML applications
• Continuously retrain, maintain, and monitor models in production
• Utilize or create cloud-based architectures and technologies to scale optimized ML models
• Develop efficient data pipelines to supply input for ML models
• Adopt continuous integration and deployment best practices, including automated testing and monitoring, to ensure seamless deployment of ML models and application code
• Guarantee that all code is managed appropriately to minimize vulnerabilities, ensuring models are governed from a risk perspective, and adhere to best practices in Responsible and Explainable AI
• Employ programming languages such as Python, Scala, or Java

• AI
• AWS
• Azure
• Big Data
• Cloud
• Java
• Machine Learning
• PyTorch
• Python
• Scala
• Spark
• TensorFlow
• NodeJS
• Support

More:

We are Capital One, seeking an experienced Senior Machine Learning Engineer to join our dynamic Agile team focused on implementing machine learning applications and systems on a large scale. Our environment fosters continuous learning and application of cutting-edge innovations and practices in machine learning engineering. The position offers an attractive salary range depending on location, performance-based incentives, and a comprehensive benefits package supporting your overall well-being. We emphasize inclusivity and equal opportunity in our hiring processes, and we are committed to fostering a diverse workplace.

last updated 37 week of 2026