GenAI Image Safety Research Intern (PhD) - Remote

Feedinkoo: Remote Jobs; United States; Remote; USD 36,000 - 72,000; Full time

Benefits offered by this job

Employee Travel Credits

Potential benefits package

Job summary

Airbnb is looking for a (PhD) Data Science Intern to join the Trust Platform team for the 2025 Summer Intern Program. This internship focuses on addressing generative AI challenges to enhance image authenticity and protect user experiences.

Candidates must be enrolled in a doctorate program at a US-accredited university, graduating between December 2025 and June 2026, with strong skills in Python and GenAI techniques. The position is remote eligible, with opportunities for office collaboration.

Qualifications

• Currently enrolled in a doctorate program at a nationally-accredited university in the US.
• Graduating between December 2025 – June 2026.
• Interest in technology and/or hospitality sectors.

Responsibilities

• Conduct literature reviews to identify new detection methods for GenAI-generated images.
• Investigate innovative approaches to create training and evaluation datasets for image authenticity.
• Implement pretrained detection models on internal datasets and analyze their performance.

Skills

Knowledge of cutting edge GenAI techniques in the image domain

Solid Python coding skills

Ability to read and summarize papers from the literature

Familiarity with at least one DNN framework (PyTorch or Tensorflow)

Education

Doctorate in computer science, computer engineering, data science, or equivalent

Job description

Airbnb is looking for a (PhD) Data Science Intern to join the Trust Platform team for the 2025 Summer Intern Program. This internship focuses on addressing generative AI challenges to enhance image authenticity and protect user experiences.

Candidates must be enrolled in a doctorate program at a US-accredited university, graduating between December 2025 and June 2026, with strong skills in Python and GenAI techniques. The position is remote eligible, with opportunities for office collaboration.