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# Machine Learning Engineer 4

- **Company:** Capital One Financial Corporation
- **Location:** New York, NY, United States
- **Salary:** $197,300.0 - $225,100.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Algorithm Design, Amazon Web Services, Data Analysis, Microsoft Azure, C++ (Programming Language), Cluster Analysis, Code Review, Computer Programming, Continuous Integration, Information Engineering, Distributed Systems, High-Level Architecture, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Software Systems, Reinforcement Learning, Software Organization, Dial-Up, Google Cloud, Pytorch, Apache Spark, Model Validation, Pandas, Scikit Learn, Kubernetes, Information Technology, Software Version Control, Data Pipelines, Recurrent Neural Networks, Golang
- **Published:** October 8, 2026
- **Apply:** https://www.thejobnetwork.com/job/3c96c739-482a-4fa8-a550-6efc4350a04a/machine-learning-engineer-manager-ic

## About the Role

* Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
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 * At least 4 years of experience programming with Python, Java, Golang, or C++
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 * At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)
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 * At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data
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 * At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems
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 * 3+ years of experience optimizing ML algorithms, configurations, and infrastructure
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 * 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc.
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 * 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.
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 * 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)
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 * 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.
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 * 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation
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 * Authored/co-authored a paper on a ML technique, model, or proof of concept
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## Description

Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One.