ML Engineer Intern — Hybrid (Generative AI)

Adobe; Seattle (WA); Hybrid; USD 62,000 - 76,000; Full time

Benefits offered by this job

Hybrid work

Paid internship

Mentorship

Job summary

Adobe seeks Machine Learning Engineer interns to develop impactful AI systems across creative AI, intelligent agents, search, and recommendations. Interns will work in a hybrid setup, co-located between office and home in line with team location, May–September 2027.

You may build LLM-powered apps or multimodal AI features depending on your team. Applicants should be enrolled full-time in CS/CE with graduation 2027–2028, proficient in Python, and familiar with PyTorch or TensorFlow.

Qualifications

• Full-time student in Computer Science/Engineering, expected graduation 2027–2028
• Strong ML/DL fundamentals with familiarity in generative AI and LLMs
• Experience with PyTorch or TensorFlow is a plus

Responsibilities

• Build and improve ML systems including LLM-based applications, recommender models, search, and multimodal features
• Design, train, evaluate, and iterate models across the full ML lifecycle from data prep to deployment
• Contribute to applied AI projects with product impact used at scale
• Collaborate with engineers, PMs, and researchers to scope problems and ship solutions

Skills

Python

ML fundamentals

LLMs

Cloud basics

Communication

Education

Bachelor's/Master's/PhD in CS/CE or related

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

scikit-learn

Job description

Adobe seeks Machine Learning Engineer interns to develop impactful AI systems across creative AI, intelligent agents, search, and recommendations. Interns will work in a hybrid setup, co-located between office and home in line with team location, May–September 2027.

You may build LLM-powered apps or multimodal AI features depending on your team. Applicants should be enrolled full-time in CS/CE with graduation 2027–2028, proficient in Python, and familiar with PyTorch or TensorFlow.