Senior Distinguished Engineer, AI Compute (Remote Eligible)

Capital One Financial

Remote

Quick summary

Work type
Remote
Location
San Francisco, CA · Cambridge, MA · Richmond, VA · McLean, VA
Salary
$286,200–$326,700 / yr
Posted
16 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k
This role $306k
$154k most similar roles pay here $345k

This role pays more than 96% of similar roles. Most pay $172,500–$246,150 — the shaded band above. At the midpoint, this role pays about $306k versus about $209k 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 498 open roles on FindRole.

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

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Distinguished Engineer, AI Compute (Remote Eligible)

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As a Senior Distinguished Engineer at Capital One’s machine learning platform organization, you will lead the development and scaling of foundational compute capabilities for high-scale AI systems across real-time and batch workloads. Your day-to-day responsibilities include architecting highly available, multi-tenant platforms using Golang and Python, developing distributed compute solutions with frameworks like Spark and Ray to optimize ML model training and inference, and enhancing operational excellence through automation. You will collaborate closely with cross-functional teams to drive technical execution and mentor internal talent while recruiting external experts to bolster the tech talent pool. Essential skills include deep expertise in distributed systems, containerized environments such as Kubernetes, and serverless computing like AWS Lambda, alongside a passion for staying current with emerging technologies and contributing to open-source projects.

Skills

Python Go Spark Ray Kubernetes AWS Docker CI/CD Scala Java Prometheus Grafana Terraform PostgreSQL Git Jenkins Ansible Chef

What you'll do

  • Architect and build control and data plane implementations for a highly available, multi-tenant machine learning platform.
  • Develop distributed compute engine solutions using Ray and Spark to accelerate diverse workloads while maximizing compute unit economics.
  • Engineer systemic improvements for operational excellence by automating KTLO workflows.
  • Direct technical execution of a diverse project portfolio involving distributed microservices and large foundation models.
  • Elevate the Capital One Distinguished Engineering community as a go-to resource on given technologies.
  • Lead in creating next-generation talent through mentoring internal staff and recruiting external talent.

What we're looking for

  • At least 10 years of experience developing AI and ML algorithms or technologies
  • Strong programming skills in Python, Go, Scala, or Java
  • Experience with distributed compute frameworks like Spark, Ray, Dask, Flink
  • Hands-on knowledge of Kubernetes and serverless runtime environments
  • Expertise in architecting large-scale, highly available systems
  • History of contributing to major open-source distributed systems projects
  • Deep understanding of cloud-specific compute primitives and cost optimization

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