3 days ago
Austin, TX, USA +4 moreIntern
H1B Sponsor
Responsibilities
- Build and improve machine learning systems, including LLM-based applications, recommendation models, search and retrieval pipelines, and multimodal AI features.
- Design, train, evaluate, and iterate on models from data preparation and experimentation through deployment and production monitoring.
- Contribute to applied AI projects such as generative AI features, agentic workflows, and intelligent systems used by Adobe customers.
- Collaborate with engineers, product managers, and researchers to scope problems, ship solutions, and communicate findings to technical and non-technical stakeholders.
Requirements
- Be currently enrolled full time in a bachelor's, master's, or PhD program in computer science, computer engineering, or a related technical field, with expected graduation between December 2027 and June 2028.
- Have a strong foundation in machine learning and deep learning, including familiarity with generative AI and large language models.
- Have strong Python programming skills; Java or C++ familiarity is a plus.
- Have hands-on experience with PyTorch or TensorFlow; Hugging Face, LangChain, or scikit-learn familiarity is a plus.
- Have exposure to AWS, Azure, or GCP, or experience with model deployment and evaluation workflows, as a plus.
- Demonstrate strong analytical and quantitative problem-solving abilities and excellent communication skills.
- Be able to work effectively in a collaborative environment and participate in a full-time internship between May and September.
Benefits
- Co-located hybrid work between the assigned office and home, with office frequency determined by the manager and team.
- Full-time internship scheduled between May and September 2027.
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About Adobe
Adobe empowers everyone, everywhere to imagine, create, and bring any digital experience to life. From creators and students to small businesses, global enterprises, and nonprofit organizations — customers choose Adobe products to ideate, collaborate, be more productive, drive business growth, and build remarkable experiences.