
Machine Learning Engineer, People Tech, Intelligent Foundations & Experiences
Capital One
full-time
Posted on:
Location Type: Office
Location: McLean • Virginia • United States
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Salary
💰 $135,600 - $154,800 per year
Tech Stack
About the role
- Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
- Inform your 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.
- 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 to ensure successful deployment of ML models and application code.
Requirements
- Bachelor’s Degree
- At least 2 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
- At least 2 years of experience programming with Python, Scala, or Java
- At least 1 year of Machine Learning experience with an industry recognized ML framework (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
- Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
- 1+ years of experience working with large code bases in a team environment
- 1+ years of experience with distributed file systems or multi-node database paradigms
- Contributed to open source ML software
- 1+ years of experience building production-ready data pipelines that feed ML models.
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningPythonScalaJavascikit-learnPyTorchDaskSparkTensorFlowdata pipelines
Soft Skills
collaborationproblem solvingcommunicationAgile methodology
Certifications
Bachelor’s Degree