Sr. Lead Machine Learning Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: New York, NYSan Francisco, CAMcLean, VACambridge, MASan Jose, CA
Salary: $229,900–$262,400 / yr
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k

This role $246k

$171k most similar roles pay here $275k

This role pays more than 67% of similar roles. Most pay $195,000–$251,750 — the shaded band above. At the midpoint, this role pays about $246k versus about $223k 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 800 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 795 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Sr. Lead Machine Learning Engineer

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The Senior Lead Machine Learning Engineer role is part of a dynamic and innovative team focused on developing cutting-edge solutions in the field of machine learning. This position involves leading the design and implementation of advanced ML models to solve complex business problems, collaborating closely with data scientists and engineers to ensure scalable and efficient model deployment across various platforms. The ideal candidate will have extensive experience using industry-standard frameworks such as scikit-learn, PyTorch, Dask, Spark, Kubeflow, or TensorFlow, along with a strong background in Python and other relevant programming languages. They should be adept at handling large datasets and possess deep expertise in machine learning algorithms and techniques to drive impactful outcomes for the organization.

Skills

scikit-learn PyTorch Dask Spark Kubeflow TensorFlow CI/CD

What you'll do

Design and implement machine learning models using industry-standard frameworks.
Optimize existing ML systems to improve performance and scalability.
Conduct data analysis to identify patterns and insights for model training.
Develop automated pipelines for data preprocessing and feature engineering.
Mentor junior engineers in best practices for machine learning development.

What we're looking for

Bachelor’s Degree required.
4+ years of experience with industry-recognized ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
Strong expertise in machine learning and data science practices.
Experience leading or contributing to complex ML projects.
Knowledge of Kubeflow, Dask, Spark for scalable ML solutions.

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