Workato
Posted 135 days agoVerified live 1d ago
Intern, AI Engineering
Brief overview
San Francisco, CAIn-person
MastersOr in progress
20 H-1B approvalsDept. of Labor
4 green cardsCertified filings
Python programmingPyTorchCUDA programmingCustom kernel developmentReinforcement learning-based LLM fine-tuningLLM agent architecturesAlgorithm optimizationResearch collaborationMentorshipOpen-source developmentProduction inference systems
About the company
Workatoworkato.com
Flexible, collaborative environment focused on innovation and ownership of work.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.20H-1B approved
95%approval rate
3new H-1B hires
4PERM certified
$137,790median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20236
20243
20258
20263
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20233
20244
20257
20263
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20231
20253
Top sponsored roles
Senior Sales Operations ManagerSenior Solutions ArchitectSr. Data EngineerAI ResearcherSenior AI Engineer
Sponsored employees from
Mexico
Job description
Summary
Workato is a leader in enterprise infrastructure, helping organizations unify data, applications, processes, and AI. The AI Lab is seeking exceptional graduate students for research internships, focusing on LLM-based agentic systems and efficient AI infrastructure, with opportunities for impactful research and collaboration.
Responsibilities
- Conduct original research on LLM agent architectures and optimization techniques
- Develop and evaluate novel algorithms with both academic rigor and production feasibility
- Present your work at internal research seminars and external conferences
- Mentor and collaborate with LLM engineers on implementation and deployment
Skills
- Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields
- Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL)
- Strong programming skills in Python and PyTorch
- Ability to work in-person at our San Francisco office
- Ability to work independently and collaborate across research and engineering teams
- Experience with self-evolving agent systems
- Proficiency in CUDA programming and custom kernel development for LLM operations
- Background in reinforcement learning-based LLM fine-tuning
- Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem
- Experience bridging academic research with production systems
- Open-source contributions to widely-used ML infrastructure projects
Qualifications
Must Haves
- Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields
- Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL)
- Strong programming skills in Python and PyTorch
- Ability to work in-person at our San Francisco office
- Ability to work independently and collaborate across research and engineering teams
Nice to Haves
- Experience with self-evolving agent systems
- Proficiency in CUDA programming and custom kernel development for LLM operations
- Background in reinforcement learning-based LLM fine-tuning
- Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem
- Experience bridging academic research with production systems
- Open-source contributions to widely-used ML infrastructure projects
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