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AI/ML Intern - Machine Learning Engineer/Researcher - Adobe
ML Engineer
Internship focused on building and deploying generative AI models for Adobe Firefly, blending research, model development, and production engineering using Python and advanced ML techniques.
About the role
Key Responsibilities
- Collaborate with research and engineering teams to design, prototype, and iterate generative AI models for Adobe Firefly.
- Implement end‑to‑end ML pipelines, from data preprocessing and feature engineering to model training and evaluation.
- Translate research findings into production‑ready code, ensuring scalability, reliability, and performance.
- Participate in code reviews, documentation, and knowledge sharing sessions to maintain high engineering standards.
- Contribute to continuous integration/continuous deployment (CI/CD) workflows for rapid model iteration.
Requirements
- Strong programming skills in Python and familiarity with ML libraries such as PyTorch or TensorFlow.
- Solid understanding of machine learning fundamentals, including supervised, unsupervised, and generative modeling.
- Experience with data pipelines, model training, and evaluation metrics.
- Excellent problem‑solving abilities and a passion for research‑driven innovation.
- Effective communication skills and ability to work collaboratively in a fast‑paced environment.
Skills
pythonmachine learninggenerative ai