Description
We are seeking a Machine Learning Engineer to join our team at Capital One. As a Machine Learning Engineer, you will have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One.
Responsibilities:
- Design, build, and deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
- Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale
- Inform ML infrastructure decisions using your understanding of ML modeling techniques and issues
- 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/or platforms to deliver optimized ML models at scale
- Construct optimized data pipelines to feed ML models
- Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
- Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
- Use programming languages like Python, Scala, or Java
Requirements:
- Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field
- At least 6 years of experience programming with Python, Java, Golang, or C++
- At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries
- At least 6 years of experience using and operating large scale distributed systems to prepare AI/ML data
- At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
- Performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)
The minimum and maximum full-time annual salaries for this role are $229,900 - $262,400.