Remote Senior Distinguished AI Compute Platform Engineer

Capital One

San Jose (CA)

On-site

USD 343,000 - 392,000

Full time

44 hours ago
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Benefits offered by this job

Remote work option

Job summary

Capital One is seeking a Senior Distinguished Engineer to architect and scale a multi-tenant AI/ML platform. You will develop Ray and Spark-based compute engines, drive operational excellence, and lead a portfolio of advanced ML initiatives across the Capital One ecosystem.

The role requires deep expertise in distributed systems, strong coding skills (Python/Go/Scala/Java), and a track record of mentoring engineers and delivering large-scale technical solutions. Remote work options are available.

Qualifications

  • Bachelor's or Master’s degree in a related field with extensive AI/ML experience.
  • 10+ years programming experience in Python/Go/Scala/Java.
  • Experience architecting distributed systems and scale.
  • Experience with Ray and Spark internals or similar distributed compute frameworks.

Responsibilities

  • Architect and implement highly available, multi-tenant ML platform components.
  • Develop Ray and Spark based compute solutions for diverse ML workloads.
  • Improve KTLO workflows and automate operations for reliability.
  • Lead technical execution across complex projects and cross-functional teams.
  • Collaborate with product, program management and Capital One stakeholders to optimize outcomes.
  • Mentor talent and contribute to the Capital One engineering community.

Skills

Python
Go
Scala
Java
Distributed systems
Ray
Spark
AWS

Education

Bachelor's degree in Computer Science / AI / EE / CE
Master’s degree in Computer Science / AI / EE / CE

Tools

Ray
Spark
Cloud compute (AWS)

Job description

Capital One is seeking a Senior Distinguished Engineer to architect and scale a multi-tenant AI/ML platform. You will develop Ray and Spark-based compute engines, drive operational excellence, and lead a portfolio of advanced ML initiatives across the Capital One ecosystem.

The role requires deep expertise in distributed systems, strong coding skills (Python/Go/Scala/Java), and a track record of mentoring engineers and delivering large-scale technical solutions. Remote work options are available.

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