Description
We are seeking a Machine Learning Engineer 4 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.
You will be responsible for:
- Designing, building, and delivering ML models and components that solve real-world business problems
- Informing ML infrastructure decisions using your understanding of ML modeling techniques and issues
- Solving complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
- Collaborating as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
- Retraining, maintaining, and monitoring models in production
- Leveraging or building cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
- Constructing optimized data pipelines to feed ML models
- Ensuring 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
Requirements:
- 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 with pre-production testing, advanced deployment techniques, monitoring, alarms, and preparing incident response plans
Benefits:
- Competitive salary: $179,400 - $204,700 for Plano, TX and $197,300 - $225,100 for McLean, VA
- Performance-based incentive compensation
- Comprehensive, competitive, and inclusive set of health, financial and other benefits