Senior Machine Learning Engineer

Salary: $250,800 - 286,200 per year Requirements: Bachelors degree in a relevant field Minimum of 8 years of experience in designing and implementing data-intensive solutions utilizing distributed computing At least 4 years of proficiency in programming with Python, Scala, or Java A minimum of 3 years of experience in constructing, enhancing, and optimizing machine learning systems At least 2 years of experience leading teams in the development of machine learning solutions Masters or doctoral degree in computer science, electrical engineering, mathematics, or a similar discipline (preferred) Experience in developing and deploying machine learning solutions in cloud environments like AWS, Azure, or Google Cloud (preferred) More than 4 years experience with well-known ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow (preferred) Over 3 years of experience in writing efficient, resilient, and maintainable code (preferred) Over 3 years of experience in data preparation for machine learning models (preferred) 3+ years of people management experience (preferred) Demonstrated impact in the ML industry through conference presentations, publications, blog posts, open source contributions, or patents (preferred) More than 3 years of experience in building production-ready data pipelines for machine learning (preferred) Strong ability to convey intricate technical concepts effectively to diverse audiences (preferred) Responsibilities: Collaborate closely with Product and Data Science teams to design, construct, and deliver machine learning models and solutions targeting real-world business challenges Utilize knowledge of machine learning modeling techniques and considerations to inform infrastructure decisions, including model selection, data and feature selection, training methodologies, hyperparameter adjustments, and model validation Tackle complex challenges by writing, testing, and deploying application code while developing and validating machine learning models Participate as a member of a cross-functional Agile team to enhance software capabilities, enabling advanced big data and machine learning applications Supervise the retraining, maintenance, and monitoring of models in a production setting Leverage or develop cloud-based architectures and platforms for scaling optimized machine learning models Construct high-performance data pipelines to support machine learning models Apply best practices in continuous integration and deployment, including test automation and monitoring, to guarantee effective model deployment Ensure code management effectively minimizes vulnerabilities, maintains model governance from a risk perspective, and adheres to best practices in Responsible and Explainable AI Utilize programming languages such as Python, Scala, or Java in the development process Technologies: AI AWS Azure Big Data Cloud Support Java Machine Learning PyTorch Python Scala Spark TensorFlow More: At Capital One, we are seeking a Sr. Lead Machine Learning Engineer to join our Agile team engaged in productionizing machine learning applications and systems at scale. You will be involved in the technical design, development, and implementation of ML applications using both established and innovative technology platforms. We offer a comprehensive range of competitive health, financial, and other benefits tailored for your total well-being. Our team is committed to fostering an inclusive environment and enabling continuous learning as we work together to apply cutting-edge ML engineering practices. The position is located in New York, NY. last updated 34 week of 2026