Description
Join the Dealer Tech division within Capital One's Financial Services Technology group as a Machine Learning Engineer 4. You'll develop and support cutting-edge technological solutions that streamline the auto financing process for dealers. Your role will focus on creating integrated, secure, and user-friendly platforms that enhance dealer operations and customer experiences.
As a Machine Learning Engineer, you'll leverage cutting-edge open-source frameworks, advanced algorithms, and emerging technologies to drive major AI transformations and scale production models across Capital One. You'll work collaboratively with cross-functional Agile teams to create and enhance software that enables state-of-the-art big data and ML applications.
Key responsibilities include:
- 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 with Product and Data Science teams to create and enhance software
- Retraining, maintaining, and monitoring models in production
- Leveraging or building cloud-based architectures, technologies, and 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 and models are well-governed from a risk perspective
The minimum and maximum full-time annual salaries for this role are: McLean, VA: $197,300 - $225,100 Plano, TX: $179,400 - $204,700
This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
Capital One offers a comprehensive set of health, financial, and other benefits that support your total well-being.
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
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 and model types
- 3+ years of experience designing, implementing, and scaling production-ready data pipelines
- 1+ years of experience as a technical lead developing ML solutions
Additional Information: Capital One is an equal opportunity employer committed to non-discrimination. The company promotes a drug-free workplace and considers qualified applicants with a criminal history in a manner consistent with applicable laws.