ML Engineer Intern — AI Systems for Creative Apps (Hybrid)

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

Job summary

Adobe seeks Machine Learning Engineer interns to develop impactful AI systems across creative AI, intelligent agents, search, recommendations, and production ML models used by millions. Interns will be co-located hybrid, working between their assigned office and home, based where their manager and team are located to ensure collaboration and the best employee experience.

Requirements include enrolled full-time in CS/CE or related field with graduation between Dec 2027 and Jun 2028, strong ML/DL

Qualifications

• Currently enrolled full time in CS/CE or related field with graduation between Dec 2027 and Jun 2028.
• Strong foundation in ML and DL, including generative AI and LLMs.
• Strong Python skills; Java or C++ a plus.
• Experience with ML frameworks such as PyTorch or TensorFlow; familiarity with Hugging Face or LangChain a plus.
• Exposure to cloud platforms (AWS, Azure, or GCP) or deployment workflows.
• Strong analytical and quantitative problem-solving.
• Excellent communication and collaboration skills.
• Ability to participate in a full-time internship between May-September.

Responsibilities

• Build and improve ML systems – including LLM-based applications, recommendation models, search and multimodal features.
• Design, train, evaluate, and iterate on models across the full ML lifecycle from data to deployment.
• Contribute to applied AI projects with real product impact at scale.
• Collaborate with engineers, product managers, and researchers to ship solutions and communicate findings.

Skills

Machine learning concepts

Deep learning

Python programming

Communication skills

Analytical problem-solving

Team collaboration

internships May–Sept

Education

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

Tools

PyTorch

TensorFlow

scikit-learn

Hugging Face

LangChain

AWS/Azure/GCP

Job description

Adobe seeks Machine Learning Engineer interns to develop impactful AI systems across creative AI, intelligent agents, search, recommendations, and production ML models used by millions. Interns will be co-located hybrid, working between their assigned office and home, based where their manager and team are located to ensure collaboration and the best employee experience.

Requirements include enrolled full-time in CS/CE or related field with graduation between Dec 2027 and Jun 2028, strong ML/DL