Research Scientist Graduate (Monetization Technology - Business Integrity) - 2027 Start

What you'll do

• Develop moderation capabilities intended to exceed human benchmarks.
• Research and build machine learning approaches for complex, evolving, and adversarial content moderation.

What they ask for

• Completing or recently completed a Master's degree in a listed or related technical discipline; exceptional Bachelor's candidates with strong research output may also be considered.
• Research experience in Ads, Search, Recommender Systems, NLP, CV, Multimodal, or Agent technologies, demonstrated through publications, thesis work, internships, or research projects.
• Understanding of LLM pre-training, post-training/alignment, and evaluation, including ability to read, reproduce, and critique recent research.
• Ability to formulate research problems and design experiments; proficiency in Python and at least one of PyTorch or TensorFlow.

Nice to have

• Publications at 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 shipped to production.

Tools

Python, PyTorch, TensorFlow, RLHF, RAG

AI focus

Research and develop LLM-based content moderation, including accurate decisions, interpretable reasoning, remediation, and handling adversarial AIGC content.