ML Engineer Intern: Generative AI & Smart Systems

Adobe; San Francisco (CA); Hybrid; USD 62,000 - 76,000; Full time

Job summary

Adobe is looking for Machine Learning Engineer interns to work on generative AI features, intelligent agents, search, and production ML models used by hundreds of millions of people. The internship is co-located hybrid in the San Francisco area.

You'll build and improve ML systems, train and evaluate models across the lifecycle, and collaborate with engineers, product managers, and researchers to ship working solutions with real product impact.

Qualifications

• Currently enrolled full time in a Bachelor’s, Master’s, or PhD program in CS/CE or related field, with an expected graduation date between December 2027 and June 2028
• Strong foundation in ML and deep learning concepts, including familiarity with generative AI and large language models (LLMs)
• Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow
• Familiarity with ML tooling (Hugging Face, LangChain) or ML libraries like scikit-learn
• Exposure to cloud platforms (AWS, Azure, or GCP) or model deployment workflows
• Strong analytical and quantitative problem-solving ability
• Excellent communication and collaboration in a team environment
• Ability to participate in a full-time internship between May–September

Responsibilities

• Build and improve ML systems — including LLM-based apps, recommendation models, search and retrieval pipelines, or multimodal AI features — depending on your team’s focus
• Design, train, evaluate, and iterate on models across the full ML lifecycle, from data preparation and experimentation through deployment and monitoring in production environments
• Contribute to applied AI projects with real product impact, including generative AI features, agentic workflows, and intelligent systems used by Adobe customers at scale
• Collaborate closely with engineers, product managers, and researchers to scope problems, ship working solutions, and communicate findings to both technical and non-technical stakeholders

Skills

Python programming

Java

C++

Machine learning fundamentals

Education

Bachelor’s/Master’s/PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

scikit-learn

AWS

Azure

GCP

Job description

Adobe is looking for Machine Learning Engineer interns to work on generative AI features, intelligent agents, search, and production ML models used by hundreds of millions of people. The internship is co-located hybrid in the San Francisco area.

You'll build and improve ML systems, train and evaluate models across the lifecycle, and collaborate with engineers, product managers, and researchers to ship working solutions with real product impact.