Research Engineer - Ads Integrity

What you'll do

• Research generative AI, including LLMs, multimodal models, and deepfake detection or synthesis; optimize training and safety.
• Design and deploy AI solutions for ads, e-commerce, short video, and live streaming, including LLM-based agents.
• Improve large-scale model training and inference, and productionize research with cross-functional teams.

What they ask for

• MS or PhD in Computer Science, AI, Machine Learning, or a related field, or equivalent industry experience.
• Experience in deep learning, NLP, and generative models such as LLMs or diffusion models.
• Hands-on experience with large-scale model training, RLHF, and multimodal learning.
• Proficiency in PyTorch, JAX, or TensorFlow, and familiarity with distributed training frameworks.

Nice to have

• Publications at top-tier conferences such as NeurIPS, ICML, ACL, or CVPR.
• Knowledge of AI safety, alignment, and adversarial robustness; experience building reinforcement-learning-based agentic systems is also preferred.

Tools

LLMs, diffusion models, PyTorch, JAX, TensorFlow, RLHF

AI focus

Generative AI research and deployment for content understanding and monetization, including multimodal models, deepfake detection and synthesis, LLM-based agents, AI safety, and efficient training and inference.