ML Engineer Intern — Impactful AI, Hybrid (May–Sept)

Adobe; California (PA); Hybrid; USD 62,000 - 76,000; Full time

Job summary

Adobe seeks Machine Learning Engineer interns to develop impactful AI systems, including creative AI, intelligent agents, and production ML models used by millions.

Interns will work in a co-located hybrid setup, alternating between office and home. The role may involve building LLM-powered applications, evaluating AI frameworks, and deploying models that influence Adobe's customer experiences.

Qualifications

• Strong foundation in ML/DL concepts, including generative AI and LLMs.
• Strong Python programming skills; familiarity with other languages is a plus.
• Hands-on experience with ML frameworks and cloud platforms is a plus.

Responsibilities

• Build and improve ML systems including LLM-based apps, recommendation models, search and retrieval pipelines, or multimodal features.
• Design, train, evaluate, and iterate on models across the ML lifecycle, from data prep to deployment and monitoring.
• Contribute to applied AI projects with product impact, including generative AI features and intelligent systems.
• Collaborate with engineers, PMs, and researchers to scope problems, ship solutions, and communicate findings.

Skills

ML fundamentals

Python

DL frameworks

LLMs

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, including creative AI, intelligent agents, and production ML models used by millions.

Interns will work in a co-located hybrid setup, alternating between office and home. The role may involve building LLM-powered applications, evaluating AI frameworks, and deploying models that influence Adobe's customer experiences.