ML Engineer Intern — Generative AI & LLM Systems

Adobe

San Francisco (CA)

Hybrid

USD 62,000 - 76,000

Full time

7 days ago
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Job summary

Adobe is seeking Machine Learning Engineer interns to work on generative AI features, intelligent agents, and production ML models used by hundreds of millions of people. You may build LLM-powered applications, multimodal AI systems, and evaluation frameworks across teams.

You’ll collaborate with engineers and researchers, train and deploy models, and participate in a hybrid-in-person/remote internship from May to September.

Qualifications

  • Currently enrolled full-time pursuing a Bachelor’s, Master’s, or PhD in CS/related field.
  • Expected graduation Dec 2027 – Jun 2028.
  • Strong foundation in ML and DL, familiarity with generative AI and LLMs.
  • Strong Python skills; Java or C++ is a plus.
  • Hands-on with ML frameworks (PyTorch or TensorFlow); familiarity with HuggingFace or LangChain.

Responsibilities

  • Build and improve ML systems including LLM-based apps and recommendations.
  • Design, train, evaluate, and iterate models across the ML lifecycle.
  • Contribute to applied AI projects with real product impact.
  • Collaborate with engineers, PMs, and researchers to scope problems and communicate findings.

Skills

Python
Java
C++
LLMs / Generative AI
ML frameworks
PyTorch
TensorFlow
Hugging Face
LangChain
scikit-learn
Cloud platforms
Communication
Collaboration

Education

Bachelor's degree in CS/related field
Master's degree in CS/related field
PhD in CS/related field

Tools

PyTorch
TensorFlow
Hugging Face
LangChain
scikit-learn
AWS
Azure
GCP

Job description

Adobe is seeking Machine Learning Engineer interns to work on generative AI features, intelligent agents, and production ML models used by hundreds of millions of people. You may build LLM-powered applications, multimodal AI systems, and evaluation frameworks across teams.

You’ll collaborate with engineers and researchers, train and deploy models, and participate in a hybrid-in-person/remote internship from May to September.

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