Senior Machine Learning Developer

Overview

Senior Machine Learning Engineer at Capital One. Join an Agile team dedicated to product ionizing machine learning applications and systems ign, develop, and implement ML applications using emerging and existing technology platforms, focusing on high‑availability, performance, and continuous learning of best practices.

• Design, build, and deliver ML models and components that solve real‑world business problems, collaborating with Product and Data Science teams.
• Inform ML infrastructure decisions using model selection, data, feature engineering, hyperparameter tuning, dimensionality, bias/variance, and validation techniques.
• Write and test application code, develop and validate ML models, automate tests, and deploy production ML solutions.
• Collaborate as part of a cross‑functional Agile team to create and enhance software enabling state‑of‑the‑art big data and ML applications.
• Retrain, maintain, and monitor ML models in production.
• Leverage or build cloud‑based architectures, technologies, and platforms to deliver optimized ML models at scale.
• Construct optimized data pipelines to feed ML models.
• Apply continuous integration and continuous delivery best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
• Ensure code and models follow vulnerability, risk, Responsible AI, and Explainable AI best practices.
• Use programming languages such as Python, Scala, or Java.

• Bachelor’s degree.
• At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply).
• At least 3 years of experience designing and building data‑intensive solutions using distributed computing.
• At least 2 years of on‑the‑job experience with an industry‑recognized ML framework (scikit‑learn, PyTorch, Dask, Spark, or Tensor Flow).
• At least 1 year of experience product ionizing, monitoring, and maintaining models.

• 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 such as AWS, Azure, or Google Cloud Platform.
• Master’s or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.
• 3+ years of experience with distributed file systems or multi‑node database paradigms.
• Contributed to open source ML software.
• Authored or co‑authored a paper on an 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 and evaluating their performance.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being.

McLean, VA: $158,600 – $181,000
Richmond, VA: $144,200 – $164,600

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position.

Capital One is an equal‑opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law;
San Francisco, California Police Code Article 49, Sections 4901‑4920;
New York City’s Fair Chance Act;
Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.