Sr Lead Machine Learning Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $229,900–$262,400 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $222k

This role $246k

$162k most similar roles pay here $275k

This role pays more than 69% of similar roles. Most pay $194,500–$249,750 — the shaded band above. At the midpoint, this role pays about $246k versus about $222k for comparable roles.

Based on 240 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 814 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 809 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Sr Lead Machine Learning Engineer

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As a Senior Lead Machine Learning Engineer on our cutting-edge AI team, you will lead the development and deployment of advanced machine learning models to solve complex business challenges. Your day-to-day responsibilities include designing scalable ML solutions, collaborating with cross-functional teams to integrate these models into existing systems, and mentoring junior engineers. You should be proficient in Python, familiar with frameworks like TensorFlow or PyTorch, and have experience with cloud platforms such as AWS or Azure. Additionally, a deep understanding of natural language processing (NLP) and computer vision is highly desirable for this role within our rapidly growing AI product suite aimed at enhancing customer engagement and operational efficiency on a large scale.

Skills

Python TensorFlow PyTorch AWS Kubernetes Docker CI/CD Git Jupyter Notebook PostgreSQL MongoDB Scikit-learn Pandas NumPy Hadoop Spark Kafka Prometheus Grafana

What you'll do

Design and implement machine learning models to solve complex business problems.
Conduct data analysis using advanced statistical techniques and machine learning algorithms.
Develop scalable solutions for large datasets, ensuring efficient processing and storage.
Stay updated with the latest trends in AI and machine learning technologies.
Optimize existing ML models for better performance and accuracy.

What we're looking for

Minimum of 7 years of experience in machine learning and data science.
Strong expertise in Python, R, or similar programming languages for ML.
Proven track record of developing and deploying scalable ML models.
Experience with cloud platforms like AWS, Azure, or GCP for ML projects.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.

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