Description
We are seeking a Machine Learning Engineer 4 to join our Risk Tech team at Capital One. As a Machine Learning Engineer, you will work on building and deploying proprietary solutions for Risk management that are powered by state-of-the-art AI technology.
Responsibilities:
- Design, build, and deliver ML models and components that solve real-world business problems
- 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
- 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
Basic Qualifications:
- Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field
- At least 4 years of experience programming with Python, Java, Golang, or C++
- At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries
- At least 4 years of experience using and operating large scale distributed systems
- At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud
Preferred Qualifications:
- Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field
- 3+ years of experience optimizing ML algorithms, configurations, and infrastructure
- 3+ years of experience following software development best practices
- 3+ years of experience building resilient software solutions
- 3+ years of experience working with Machine Learning techniques
- 3+ years of experience designing, implementing, and scaling production-ready data pipelines
- 1+ years of experience as a technical lead developing ML solutions
Salary: Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4 McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4
Benefits: Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.