Description
We are seeking a Machine Learning Engineer 3 to join our team at Capital One. 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.
What You'll Do:
- 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
- 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 3 years of experience programming with Python, Java, Golang, or C++
- At least 2 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries
- At least 3 years of experience using and operating large scale distributed systems
- At least 1 year 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
- 1+ years of experience optimizing ML algorithms, configurations, and infrastructure
- 1+ years of experience following software development best practices
- 1+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques, monitoring, alarms, and preparing incident response plans
- 1+ years of experience working with Machine Learning techniques, model types, model Architectures, training concepts, and how to evaluate model accuracy and diagnose and address common issues
- Authored/co-authored a paper on a ML technique, model, or proof of concept
- 1+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models
Salary Information:
- McLean, VA: $161,800 - $184,600 for Machine Learning Engineer 3
- New York, NY: $176,500 - $201,400 for Machine Learning Engineer 3
- Plano, TX: $147,100 - $167,900 for Machine Learning Engineer 3
- Richmond, VA: $147,100 - $167,900 for Machine Learning Engineer 3
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being