PhD AI Engineering Intern

Capital One Financial

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: New York, NYMcLean, VASan Jose, CA
Employment: Intern
Posted: 3 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 $182k

$114k most similar roles pay here $251k

This listing doesn't post a salary. Most similar roles pay $126,800–$237,321.

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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

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At a glance

TL;DR · PhD AI Engineering Intern

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Current PhD, AI Engineering Internship Program - Summer 2027 offers a specialized experience within the Intelligent Foundations and Experiences team to develop scalable, high-performance AI infrastructure and agentic capabilities. You will collaborate with research scientists and engineers to prototype and productionalize high-impact systems including multimodal search, intelligent document processing, and autonomous agentic workflows. The role involves designing and optimizing critical components of the AI stack, such as fine-tuning pre-training pipelines, reinforcement learning, inference optimization, and robust guardrails. You will utilize a technical stack featuring PyTorch, AWS Ultraclusters, and various agentic frameworks like LangChain or LlamaIndex. Candidates should possess experience with Python, Go, Scala, or Java, alongside expertise in LLM inference, computer vision, and NLP to solve complex problems involving the integration of generative AI into sophisticated microservice environments.

Skills

Python Go Scala Java AWS PyTorch LangChain LangGraph LlamaIndex Autogen LLM Inference NLP Computer Vision GenAI Claude Code Windsurf Search and Retrieval

What you'll do

Prototype and ship AI-native products including multimodal search and intelligent document processing.
Develop autonomous agentic workflows that navigate tools and orchestrate multi-step reasoning.
Design and optimize infrastructure for fine-tuning, pre-training pipelines, and reinforcement learning.
Implement inference optimizations, robust guardrails, and sophisticated evaluation frameworks for AI systems.
Build scalable, high-performance AI infrastructure to power customer-facing GenAI experiences.
Translate research papers into production-ready code and integrated software solutions.
Architect agentic workflows that integrate with complex microservice environments.

What we're looking for

Must have or be pursuing a PhD in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field by August 2029.
Must continue in the same course of study for the most recent degree after completing the internship.
At least 1 year of experience or academic work developing AI and ML algorithms or technologies.
At least 1 year of experience or academic work programming with Python, Go, Scala, or Java.
Experience or academic work deploying AI/ML systems on cloud platforms like AWS, Google Cloud, or Azure (preferred).
Experience or academic work optimizing AI/ML training or inference pipelines using distributed GPU computational frameworks (preferred).
Experience or academic work in AI/ML domains such as LLM Inference, Search and Retrieval, NLP, Computer Vision, or Guardrails (preferred).
Familiarity with Agentic Frameworks like LangChain, LangGraph, LlamaIndex, Autogen, or others (preferred).

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