Distributed Computing Engineer Jobs

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1d ago

Lead Machine Learning Engineer

Capital One McLean, VA

McLean, VA

1d ago

$197k - $225k/yr Full time Manager Artificial Intelligence AWS

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Job Description

Capital One is hiring a Lead Machine Learning Engineer (Manager IC) for an onsite Agile team in McLean, VA to design and productionize foundation models using self-supervised learning for transformer architectures.

Responsibilities

Support detailed technical design, development, and implementation across model architecture, large-scale training, and representation learning for transformer-based foundation models
Develop and review model and application code; drive ML architectural decisions to ensure high availability and performance of production applications
Design, build, and/or deliver ML models and components that address real business needs while collaborating with Product and Data Science teams
Apply ML modeling knowledge to guide infrastructure decisions, including choices around model, data, 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
Collaborate with a cross-functional Agile team to create and improve software supporting state-of-the-art big data and ML applications
Retrain, maintain, and monitor models once deployed in production
Leverage and/or build cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Use continuous integration and continuous deployment practices, including test automation and monitoring, to support successful releases
Ensure code is well-managed to reduce vulnerabilities; support model governance from a risk perspective; follow Responsible and Explainable AI best practices
Use programming languages such as Python, Scala, or Java

Requirements

Bachelor’s Degree
6+ years designing and building data-intensive solutions using distributed computing (internship experience does not apply)
4+ years programming with Python, Scala, or Java
2+ years building, scaling, and optimizing ML systems

Technologies

Python, Scala, Java
scikit-learn, PyTorch, TensorFlow
Dask, Spark
AWS, Azure, Google Cloud Platform

Preferred Qualifications

Master’s or Doctoral Degree in computer science, electrical engineering, mathematics, or a related field
3+ years building production-ready data pipelines that feed ML models
3+ years on-the-job experience with an industry-recognized ML framework: scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years developing performant, resilient, and maintainable code
2+ years experience with data gathering and preparation for ML models
2+ years people leader experience
1+ years experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
ML industry impact via conference presentations, papers, blog posts, open source contributions, or patents
Experience leveraging interactive AI tooling to accelerate productivity beyond basic code completion

Location and Compensation

Location: McLean, VA (onsite)
Salary Range: USD 197,300 - 225,100 per year
Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Additional Information

No agencies please
Capital One will not sponsor a new applicant for employment authorization or provide immigration related support for this position (including H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1, O-1, and other work authorization requiring employer support)
Expected application review window: minimum of 5 business days
Capital One is an equal opportunity employer (EOE), committed to non-discrimination in compliance with applicable federal, state, and local laws
Capital One promotes a drug-free workplace
Accommodation request: 1-800-304-9102 or RecruitingAccommodation@capitalone.com
Recruiting process support: Careers@capitalone.com

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