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Software Development
Lead Machine Learning Engineer
@Capital One
[Hiring] Lead Machine Learning Engineer @Capital One
Mar 17, 2025 - Capital One is hiring a remote Lead Machine Learning Engineer. 💸 Salary: $175,800 - $200,700. 📍Location: USA.
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Role Description
As a Capital One Machine Learning Engineer (MLE), you'll be part of a fast moving, highly collaborative Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll drive and deliver the detailed technical designs, development, and implementation of machine learning applications using existing and emerging technology platforms.
- 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.
- Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
- 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.
- Design and research new models using data scientist experience/expertise.
Qualifications
- Bachelor’s degree
- At least 6 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 2 years of experience building, scaling, and optimizing ML systems
Requirements
- Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field (Preferred)
- 3+ years of experience building production-ready data pipelines that feed ML models (Preferred)
- 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow (Preferred)
- 2+ years of experience developing performant, resilient, and maintainable code (Preferred)
- 2+ years of experience with data gathering and preparation for ML models (Preferred)
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
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| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Software Development
Software Development
|
Salary
💸
$175,800 - $200,700
|
Remote
Location
USA
|
|
Job Type
full-time
|
Posted
Mar 17, 2025
|
️
| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
