Lead Machine Learning Engineer (Enterprise Platforms Technology)

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA · New York, NY
Salary: $197,300–$225,100 / yr
Posted: 58 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $220k

This role $211k

$172k most similar roles pay here $267k

This role pays less than 53% of similar roles. Most pay $194,000–$246,150 — the shaded band above. At the midpoint, this role pays about $211k versus about $220k for comparable roles.

Based on 239 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Lead Machine Learning Engineer (Enterprise Platforms Technology)

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The Lead Machine Learning Engineer role is part of the Enterprise Platforms Technology team and targets a senior-level professional with extensive experience in machine learning. This individual will lead the development and deployment of advanced ML models to enhance enterprise solutions, focusing on scalability and performance optimization. Key responsibilities include designing innovative algorithms, collaborating with cross-functional teams to integrate ML capabilities into existing systems, and mentoring junior engineers. The ideal candidate should possess expertise in Python, TensorFlow, and PyTorch, along with a strong background in data science and statistical analysis. Additionally, experience with cloud platforms such as AWS or Azure is highly desirable, given the large-scale deployment requirements of enterprise-level applications.

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS Azure CI/CD Git Jupyter Notebook PostgreSQL MongoDB Scikit-learn Pandas NumPy Spark Hadoop RESTful APIs Swagger

What you'll do

Design and implement advanced machine learning models to solve complex business problems.
Optimize existing ML systems for efficiency and scalability across enterprise platforms.
Conduct data analysis to identify trends and insights that inform strategic decisions.
Develop predictive analytics solutions to enhance decision-making processes within the company.
Mentor junior engineers and provide technical guidance on ML projects.

What we're looking for

Bachelor’s Degree or equivalent experience
Extensive experience in machine learning and data science
Proficiency in programming languages such as Python and R
Strong background in statistical modeling and algorithm development
Experience with cloud platforms like AWS, Azure, or Google Cloud
Ability to lead and mentor a team of engineers and scientists

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