SIGN IN
Agentic AI Research Intern jobs in United States
cer-icon
Apply on Employer Site
company-logo

Fujitsu · 12 hours ago

Agentic AI Research Intern

Fujitsu is a pioneer in technology and innovation, dedicated to building a sustainable future through digital transformation. The AI Research Intern will focus on building and evaluating LLM-based coding agents, contributing to system design and experimentation, and aiming to submit a publication to a top AI conference.
Telecom & CommunicationsCloud ComputingCyber SecurityEnterprise SoftwareSoftwareInformation TechnologyCloud InfrastructureInformation and Communications Technology (ICT)IT Infrastructure
badNo H1Bnote

Responsibilities

Build and evaluate LLM-based coding agents
Improve agent performance with both training and test-time methods
Deliver reproducible results, with the goal of submitting a publication to a top AI conference

Qualification

PhD in Computer ScienceResearch experience with LLMsPythonJavaDockerExperience fine-tuning LLMsExperience running reproducible experimentsComfortable with gitDebugging skillsUnit testsLinux/CLI workflowsPublication record in AI/ML

Required

Currently pursuing a PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
Research experience with LLMs and/or agentic tool use
Strong Python and Java; comfortable with git, debugging, unit tests, and Linux/CLI workflows
Experience running reproducible experiments (baselines, ablations, clean reporting)
Publication record in top AI/ML venues

Preferred

Hands-on experience with coding agent benchmarks like SWE-bench, Terminal-Bench, CodeClash, etc
Experience fine-tuning LLMs for code (e.g., SFT, DPO/RLHF-style methods, RL) and building training data/trajectories
Experience with verification at inference time (unit tests, static analyzers/linters/type-checkers, learned verifiers, search/reranking)
Experience with Docker/containers, CI-style evaluation, and scaling experiments

Company

Fujitsu is a information & communications technology equipment and services firm providing IT & IT infrastructure and other services.

Funding

Current Stage
Public Company
Total Funding
unknown
1949-05-16IPO

Leadership Team

leader-logo
Peter Grassi
Chief Executive Officer, Oceania
linkedin
leader-logo
Ian Bradbury
CTO - Financial Services
linkedin
Company data provided by crunchbase