Capital One
Lead Machine Learning Engineer
New York, NY · Part-time
No sponsorship$215k-$246kDetected 5 days ago
PythonJavaScalaAWSGCPAzureCloud PlatformsCI/CDMachine LearningTensorFlowPyTorchscikit-learnSparkData EngineeringData ScienceCustomer SupportElectrical EngineeringTest AutomationCollaborationPublic Speaking
About the role
- The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering.
- 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).
- Construct optimized data pipelines to feed ML models.
Responsibilities
- The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many
- 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.
- Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
- Retrain, maintain, and monitor models in production.
- Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
- For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Requirements
- 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
- All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Nice to have
- Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
- 3+ years of experience building production-ready data pipelines that feed ML models
- 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
- 2+ years of experience developing performant, resilient, and maintainable code
- 2+ years of experience with data gathering and preparation for ML models
- 2+ years of people leader experience
- 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
- Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
Skills
- Use programming languages like Python, Scala, or Java.
Compensation
- The minimum and maximum full-time annual salaries for this role are listed below, by location.
Benefits
- $215,200 - $245,600 for Lead Machine Learning Engineer
- This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
- 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.
- As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Company info
- 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.
Equal opportunity
- equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
Visa & Work Authorization
- At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or ot
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This listing is sourced directly from Capital One's careers page and normalized into a canonical job model.