Research Engineer Graduate (Monetization Technology - Business Integrity) - 2027 Start (PhD)

What you'll do

• Develop a leading moderation system designed to achieve fully automated moderation with performance surpassing human benchmarks.

What they ask for

• Completing or recently completed a PhD in a listed technical discipline or related field, completed or expected within 12 months.
• Hands-on model implementation, training, or deployment experience in at least one listed area through coursework, internships, or industry projects.
• Familiarity with large language model fundamentals and practical experience in at least one stage: pre-training, fine-tuning, prompting, inference, or deployment.
• Strong software engineering fundamentals; proficient in Python and at least one deep learning framework such as PyTorch or TensorFlow.

Nice to have

• Experience with distributed training or high-throughput inference technologies, production deployment or optimization, large-scale data pipelines, agentic systems, RAG, or multimodal applications.
• Familiarity with ads, search, or recommendation industry stack; open-source contributions, ML competition results, or granted patents.

Tools

Python, PyTorch, TensorFlow, DeepSpeed, Megatron, FSDP, vLLM, SGLang

AI focus

Machine learning and large language models for content moderation, including interpretable decisions and intelligent remediation; the posting also describes challenges involving multilingual, long-form, multimodal, and adversarial content.