Capital One is seeking a senior-level Machine Learning Engineer to join an Agile team focused on productionizing machine learning applications and systems at scale. The role spans technical design through implementation and production monitoring of ML models and associated application code.
Role Overview
In this position, you will design, build, and/or deliver machine learning models and components that address business needs, partnering with Product and Data Science teams. Work includes technical decision-making across model selection, data and feature selection, training, hyperparameter tuning, dimensionality, validation, and evaluation of bias and variance. You will also support automation of tests and deployment workflows and maintain models after release through retraining, upkeep, and ongoing monitoring.
Key Responsibilities
- Design, build, and deliver ML models and components to solve real-world business problems in collaboration with Product and Data Science teams.
- Guide ML infrastructure decisions using knowledge of modeling techniques and practical considerations such as model choice, data and feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation.
- Address complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
- Work within a cross-functional Agile team to create and improve software supporting large-scale big data and ML applications.
- Retrain, maintain, and monitor models in production environments.
- Use and/or build cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale.
- Construct optimized data pipelines that feed ML models.
- Apply continuous integration and continuous deployment best practices, including test automation and monitoring, to support successful deployments.
- Ensure strong code management to reduce vulnerabilities, govern models from a risk perspective, and follow best practices in Responsible and Explainable AI.
- Develop using programming languages such as Python, Scala, or Java.
Required Qualifications
- Bachelor’s Degree
- 8+ years of experience designing and building data-intensive solutions using distributed computing (internship experience does not apply)
- 4+ years of experience programming with Python, Scala, or Java
- 3+ years building, scaling, and optimizing ML systems
- 2+ years experience leading teams developing ML solutions
Preferred Qualifications
- Master’s or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
- Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
- 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow, or TensorFlow
- 3+ years experience developing performant, resilient, and maintainable code
- 3+ years experience with data gathering and preparation for ML models
- ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
- 3+ years experience building production-ready data pipelines that feed ML models
- Ability to communicate complex technical concepts clearly to a variety of audiences
Technologies
- Python
- Scala
- Java
- AWS
- Azure
- Google Cloud Platform
- scikit-learn
- PyTorch
- Dask
- Spark
- Kubeflow
- TensorFlow
Compensation and Location
Location: McLean, VA (onsite)
Salary range: USD 229,900 - 262,400 per year
Benefits
- Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being
Additional Notes
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- This role is expected to accept applications for a minimum of 5 business days.
- No agencies please.
- Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
- Capital One promotes a drug-free workplace.
- Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
- Candidates hired to work in other locations will be subject to the pay range associated with that location.
Salary Information by Location
- Cambridge, MA: $229,900 - $262,400
- McLean, VA: $229,900 - $262,400
- New York, NY: $250,800 - $286,200
- San Francisco, CA: $250,800 - $286,200
- San Jose, CA: $250,800 - $286,200
