Manager, Data Scientist - Recommendation & Personalization Systems

Capital One Financial

Actively hiring
Mclean, Va, US Posted 132 days ago $197,300$225,100 / year

At a glance

AI generated

TL;DR

As a Manager of Data Science in the Recommendation & Personalization Systems team at Capital One’s AI Foundations division, you will lead the development and deployment of next-generation personalized customer experiences. This role involves architecting scalable recommendation engines powered by cutting-edge research into Foundation Models and Reinforcement Learning techniques. You will work with high-scale ML models, deploying state-of-the-art Transformer-based architectures using PyTorch and distributed training on multi-GPU systems. Additionally, you will handle petabyte-scale data processing for feature engineering with frameworks like DASK and PySpark, ensuring robust MLOps practices through AWS, Kubeflow, and CI/CD pipelines. This position requires a deep understanding of causal inference and transformer models to solve complex business problems at massive scale.

Skills

AWS Kubeflow CI/CD PyTorch DASK PySpark Transformer-based architectures MLOps multi-GPU optimization distributed training

What you'll do

  • Lead the development and deployment of high-scale ML models for personalized recommendation engines.
  • Optimize state-of-the-art Deep Learning models, focusing on Transformer-based architectures with multi-GPU optimization.
  • Implement MLOps practices to build, deploy, and maintain production-grade machine learning systems.
  • Conduct advanced feature engineering using distributed data processing frameworks like DASK and PySpark.
  • Collaborate on original research into Foundation Models and Reinforcement Learning techniques for personalized experiences.

What we're looking for

  • At least 3 years of hands-on experience in building and maintaining high-scale ML systems.
  • Proficient in developing state-of-the-art Deep Learning models, particularly Transformer-based architectures.
  • Expertise in distributed data processing for petabyte-scale feature engineering using frameworks like DASK and PySpark.
  • Experience with MLOps practices including AWS, Kubeflow, and CI/CD pipelines.
  • Strong skills in deploying ML systems with multi-GPU optimization using PyTorch.

Market check

Salary context

This $197,300–$225,100 range sits above 75% of similar postings on FindRole.

Peer median band

$110,000$225,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$135,000$212,850

Middle half of comparable postings.

Based on 239 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 489 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 483 roles with salary data.

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