job description
Join Seagate Technology as a Media Development Intern specializing in Machine Learning and Generative AIâa unique opportunity to shape the future of data-driven engineering. This remote role, based in Bali, offers hands-on experience in developing intuitive GenAI tools that enhance media workflows, automate content creation, and drive innovation in storage solutions.
As part of our dynamic team, youâll collaborate with AI researchers, engineers, and media specialists to design, prototype, and deploy cutting-edge AI-powered applications. Whether youâre fine-tuning large language models, optimizing generative pipelines, or integrating AI into media processing, your work will directly impact how Seagate leverages AI to solve real-world challenges.
This internship is ideal for passionate learners eager to bridge the gap between AI theory and practical media applications. Youâll gain exposure to industry-leading tools, mentorship from experts, and the chance to contribute to projects with global reachâall while enjoying the flexibility of working from paradise.
Responsibility
- Develop and refine Generative AI models for media content creation, editing, and enhancement.
- Collaborate with cross-functional teams to integrate ML algorithms into media workflows (e.g., video, audio, or image processing).
- Prototype and test AI-driven tools to automate repetitive tasks in media production.
- Optimize models for performance, scalability, and real-time processing in cloud or edge environments.
- Analyze datasets to identify patterns and improve AI-generated outputs for engineering applications.
- Document technical processes, create tutorials, and present findings to stakeholders.
- Stay updated on emerging AI/ML trends in media and propose innovative solutions.
- Assist in deploying models to production environments with CI/CD pipelines.
Qualifications
- Currently enrolled in a Bachelorâs or Masterâs degree in Computer Science, AI, Data Science, or a related field.
- Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
- Familiarity with Generative AI (LLMs, diffusion models, GANs) or media processing libraries (e.g., OpenCV, FFmpeg).
- Basic understanding of data pipelines, APIs, and cloud platforms (AWS, GCP, or Azure).
- Strong problem-solving skills and a passion for AI-driven creativity.
- Excellent communication and teamwork abilities in a remote setting.
- Portfolio or GitHub projects showcasing AI/ML or media-related work (a plus).
- Ability to commit to a 3â6 month internship (full-time or part-time).