Capital One Software is looking to accelerate the data management journey at scale for businesses operating in the cloud by providing tools to address challenges like data publishing, data consumption, data governance, and infrastructure management. The Senior Manager, Software Engineering, Machine Learning will be responsible for producing machine learning applications and systems at scale.
Requirements
- At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
- At least 4 years of experience programming with Python, Scala, or Java
- At least 3 years of experience building, scaling, and optimizing ML systems
- At least 4 years of on-the-job experience with an industry recognized ML framework such as 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
- 3+ years of experience building production-ready data pipelines that feed ML models
- Use programming languages like Python, Scala, or Java.
Responsibilities
- 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, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
- 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.
Other
- At least 2 years of experience leading teams developing ML solutions
- At least 4 years of people management experience.
- Ability to communicate complex technical concepts clearly to a variety of audiences
- ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
- Bachelor's degree
