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

What you'll do

• Develop a moderation system that supports end-to-end automated decisions and remediation.
• Build machine learning models for content understanding and moderation, including challenging or adversarial content.

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.
• Hands-on experience implementing, training, or deploying models in Ads, Search, Recommender Systems, NLP, CV, Multimodal, or Agent technologies.
• Familiarity with large language model fundamentals and practical experience in at least one stage, such as training, 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, high-throughput inference, production deployment, serving optimization, or large-scale data pipelines.
• Experience with agentic systems, RAG, or multimodal applications; industry-stack familiarity, open-source contributions, competition results, or patents.

Tools

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

AI focus

Machine learning and large-language-model work for content moderation, including automated rejection decisions, interpretable reasoning, remediation, and handling adversarial or AIGC-generated content.