Machine Learning Engineer 3

About the role

Capital One is seeking Machine Learning Engineers who are passionate about leveraging cutting‑edge open source frameworks, advanced algorithms, and emerging technologies. In this role you will drive major AI transformations and scale production models across the company while working in a fast‑paced, collaborative, inclusive, and iterative delivery environment.

Responsibilities

• Design, build, and/or deliver ML models and components that solve real‑world business problems, while collaborating with Product and Data Science teams.
• Inform ML infrastructure decisions using knowledge of modeling techniques, feature selection, model training, hyper‑parameter tuning, dimensionality, bias/variance, and validation.
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
• Collaborate as part of a cross‑functional Agile team to create and enhance software that enables state‑of‑the‑art big data and ML applications.
• Retrain, maintain, and monitor 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 deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
• Ensure code is well‑managed to reduce vulnerabilities, models are well‑governed from a risk perspective, and ML follows best practices in Responsible and Explainable AI.
• Use programming languages such as Python, Scala, or Java.

Basic Qualifications

• Bachelor’s degree or higher in Computer Science, Machine Learning, or a related quantitative field (e.g., Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
• At least 3 years of experience programming with Python, Java, Golang, or C++.
• At least 2 years of machine‑learning experience using industry‑standard frameworks (PyTorch or TensorFlow) and libraries (Pandas, NumPy, Scikit‑learn).
• At least 3 years of experience using and operating large‑scale distributed systems (Spark, Ray) to prepare AI/ML data.
• At least 1 year of experience deploying and operating machine‑learning solutions in production, including cloud services (AWS, GCP, Azure) and Kubernetes‑managed containerized ML software systems.

Preferred Qualifications

• Master’s or Doctoral degree in Computer Science, Electrical Engineering, Mathematics, or a related field.
• 1+ years of experience optimizing ML algorithms, configurations, and infrastructure.
• 1+ years of experience following software‑development best practices (source control, testing, code reviews, CI/CD, etc.).
• 1+ years of experience building resilient software solutions with pre‑production testing, advanced deployment techniques (one‑box, blue/green, gradual dial‑up), monitoring, alarms, and incident‑response planning.
• 1+ years of experience with a broad range of machine‑learning techniques (supervised, semi‑supervised, unsupervised, reinforcement learning), model types (regression, classification, clustering), architectures (RNNs, CNNs, LSTMs, Transformers), and training concepts (loss functions, hyper‑parameters, regularization), as well as diagnosing under‑/over‑fitting.
• Authored or co‑authored a paper on an ML technique, model, or proof of concept.
• 1+ years of experience designing, implementing, and scaling production‑ready data pipelines for training and evaluating ML models.

Capital One will not sponsor a new applicant for employment authorization or provide immigration‑related support for this position.

Pay

Annual salary ranges (full‑time) by location:

• McLean, VA: $161,800 – $184,600
• New York, NY: $176,500 – $201,400
• Plano, TX: $147,100 – $167,900
• Richmond, VA: $147,100 – $167,900

Candidates hired in other locations will receive the pay range associated with that location. The role is also eligible for performance‑based incentive compensation, which may include cash bonuses and/or long‑term incentives.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support total well‑being. Eligibility varies based on full‑ or part‑time status, exempt or non‑exempt classification, and management level.