Description
Adobe seeks Machine Learning Engineer interns to develop impactful AI systems covering creative AI, intelligent agents, search, recommendations, and production ML models used by millions.
As a Machine Learning Engineer intern, you will:
- Build and improve machine learning systems, including LLM-based applications, recommendation models, search and retrieval pipelines, or multimodal AI features
- 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 partners
To succeed in this role, you will need:
- To be 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
- A 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
The expected pay range for this position is $45.00 - $55.00 hourly.