Hybrid ML Engineer Intern - Generative AI & Systems

Adobe Inc.; San Jose (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, search, recommendations, and production ML models used by hundreds of millions of people. You will build and evaluate ML systems, and contribute to LLM-powered applications depending on your team’s focus.

This 2027 internship is co-located hybrid, with a mix of office and home work based on team needs and location. The program runs May–September, and you will collaborate with engineers, product managers,

Qualifications

• Currently enrolled full time and pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Computer Engineering, or a related technical field, with an expected graduation date of December 2027 - June 2028
• Strong foundation in machine learning and deep learning concepts, including familiarity with generative AI and large language models (LLMs)
• Strong Python programming skills; familiarity with other languages such as Java or C++ is a plus
• Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow; familiarity with LLM tooling (e.g., Hugging Face, LangChain) or ML libraries such as scikit-learn is a plus
• Exposure to cloud platforms (AWS, Azure, or GCP) or experience with model deployment and evaluation workflows is a plus
• Strong analytical and quantitative problem-solving ability
• Excellent communication skills and ability to work effectively in a collaborative team environment
• Ability to participate in a full-time internship between May-September

Responsibilities

• Build and improve machine learning systems - including LLM-based applications, 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

Communication

Collaboration

Problem-solving

Teamwork

Education

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

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, search, recommendations, and production ML models used by hundreds of millions of people. You will build and evaluate ML systems, and contribute to LLM-powered applications depending on your team’s focus.

This 2027 internship is co-located hybrid, with a mix of office and home work based on team needs and location. The program runs May–September, and you will collaborate with engineers, product managers,