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# Machine Learning Engineer

- **Company:** Washington and Idaho Railway Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, C++ (Programming Language), Cloud Computing, Computer Programming, Data Cleansing, Distributed Systems, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Scala (Programming Language), Data Processing, Google Cloud, Cloud Platform System, Pytorch, Apache Spark, Pandas, Scikit Learn, Kubernetes, Information Technology, Dask, Machine Learning Operations, Software Version Control, Data Pipelines, Golang, Programming Languages
- **Published:** October 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/o85f6emcyi

## About the Role

* Bachelor's Degree or higher in Computer Science, Machine Learning, Data Science, Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering
 * Minimum 8 years of programming experience with Python, Java, Golang, or C++
 * At least 6 years of hands-on experience with Machine Learning frameworks such as PyTorch or TensorFlow, along with libraries like Pandas, NumPy, and Scikit-learn
 * Minimum 6 years of experience working with large-scale distributed systems such as Spark or Ray for data preparation and processing
 * At least 5 years of deploying and managing production ML solutions in cloud environments (AWS, GCP, Azure) using container orchestration tools like Kubernetes

## Description

The Staff Machine Learning Engineer at Capital One plays a pivotal role in driving the company's AI and machine learning initiatives. This position involves designing, developing, and deploying large-scale, production-ready machine learning models that address complex business challenges within the financial services sector. The engineer will collaborate with cross-functional teams including Data Science, Product, Architecture, and Engineering to create innovative solutions that improve customer experience, optimize operational efficiency, and support strategic decision-making. The role offers an exciting opportunity to lead large-scale ML projects, leverage cloud technologies, and influence the future of AI-driven banking solutions., * Design, develop, and deliver machine learning models and software components to solve challenging business problems in financial services

 * Lead the creation and enhancement of ML models and intelligent systems that enable advanced capabilities
 * Manage and execute large-scale ML initiatives with a focus on customer impact and operational excellence
 * Utilize cloud-based architectures and technologies to deploy scalable ML models efficiently
 * Optimize data pipelines to ensure high-quality data feeds for ML models
 * Write, test, and maintain code using programming languages such as Python, Scala, Java, and GoLang
 * Leverage compute technologies like Dask and RAPIDS to accelerate data processing and model training
 * Promote best practices throughout the engineering and modeling lifecycle, including version control, testing, and documentation
 * Mentor and develop engineering talent, fostering a culture of innovation and continuous improvement