Adobe
2027 Intern - Machine Learning Engineer
San Jose +6 · Internship · Posted Oct 1, 2026
- Location
- San Jose
Waltham
San Francisco
Austin
Seattle
Lehi
New York - Education
- Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Computer Engineering, or a related technical field.
About the job
Develop, evaluate, and deploy machine learning and AI systems for Adobe products, with the specific focus depending on the assigned team.
What you'll do
- Build and improve ML systems such as LLM applications, recommendation models, search and retrieval pipelines, or multimodal AI features.
- Work across the ML lifecycle, from data preparation and experimentation to deployment and production monitoring.
- Collaborate with engineers, product managers, and researchers to deliver applied AI projects and communicate findings.
What they ask for
- Currently enrolled full time in a Bachelor's, Master's, or PhD program in Computer Science, Computer Engineering, or a related technical field; expected graduation December 2027–June 2028.
- Strong foundation in machine learning and deep learning, including familiarity with generative AI and LLMs.
- Strong Python skills; hands-on experience with PyTorch or TensorFlow.
- Able to participate in a full-time internship between May–September.
Nice to have
- Familiarity with Java or C++, Hugging Face, LangChain, or scikit-learn.
- Exposure to AWS, Azure, or GCP, or experience with model deployment and evaluation workflows.
Pay
$45.00 - $55.00 hourly (base salary)
Tools
Python, Java, C++, PyTorch, TensorFlow, Hugging Face, LangChain, scikit-learn
AI focus
Build and improve generative AI, LLM-powered applications, intelligent agents, recommendation and search systems, multimodal AI, and production ML; includes model evaluation, deployment, and monitoring.
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