Senior Machine Learning Engineer

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VANew York, NYPlano, TX
Employment: Full-time
Posted: 50 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $222k

$167k $275k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $195,150–$249,000.

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 2189 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1136 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer

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The Senior Machine Learning Engineer joins an Agile team focused on productionizing machine learning applications and systems at scale. This role involves the technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Key responsibilities include building and delivering models to solve real-world business problems, constructing optimized data pipelines, and maintaining models in production. The engineer will ensure high availability, performance, and governance while following best practices in Responsible and Explainable AI. Required technical skills include proficiency in Python, Scala, or Java, along with experience in distributed computing and industry-recognized frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. The position also involves leveraging cloud-based architectures and continuous integration and deployment best practices to deliver optimized models.

What does a Machine Learning Engineer earn in New York?

Median $231150 from 51 postings across 20 companies.

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Skills

Python Scala Java PyTorch TensorFlow Spark scikit-learn Dask AWS Azure Google Cloud Platform Distributed Computing Data Pipelines Agile Machine Learning Explainable AI

What you'll do

Design, build, and deliver machine learning models and components to solve real-world business problems.
Write and test application code to solve complex problems and automate deployment processes.
Retrain, maintain, and monitor machine learning models in production environments.
Construct and optimize data pipelines to feed machine learning models.
Build and leverage cloud-based architectures to deliver optimized ML models at scale.
Implement continuous integration and continuous deployment best practices, including test automation and monitoring.
Ensure all code and models follow best practices for Responsible and Explainable AI.

What we're looking for

At least 4 years of experience programming with Python, Scala, or Java.
At least 3 years of experience designing and building data-intensive solutions using distributed computing.
At least 2 years of on-the-job experience with industry recognized ML frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
At least 1 year of experience productionizing, monitoring, and maintaining models.
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field (preferred).
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform (preferred).
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance (preferred).

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