Research Scientist Intern (Monetization Technology - Business Integrity) - 2027 Start (PhD)

What you'll do

• Develop an end-to-end moderation system intended to outperform human benchmarks.
• Conduct research to address complex and evolving content moderation challenges.

What they ask for

• Currently pursuing a PhD in a listed or related technical discipline, completed or expected within 12 months.
• Research experience in at least one listed area, demonstrated through publications, thesis work, internships, or research projects.
• Strong understanding of LLM pre-training, post-training/alignment, and evaluation, including ability to assess recent literature and conduct independent experiments.
• Proficient in Python and at least one deep learning framework.

Nice to have

• Publications at listed top-tier venues or equivalent evidence of research ability.
• Experience with RLHF/post-training, reasoning, model architecture design, evaluation benchmarks, agentic systems, RAG, multimodal applications, or research deployed in production.

Tools

Python, PyTorch, TensorFlow

AI focus

Research and build automated content moderation using machine learning and large language models, including accurate rejection decisions, interpretable reasoning, and intelligent remediation.