Research Engineer - Foundation Models, Ads Integrity

What you'll do

• Lead research in generative AI and foundation models, including text generation, multimodal understanding, deepfakes, and efficient training and inference.
• Design and deploy scalable AIGC solutions for ads, e-commerce, short video, and live streaming.
• Guide researchers and engineers, partner across teams to productionize models, and contribute to research through patents, publications, or open-source work.

What they ask for

• PhD or MS in Computer Science, Electrical Engineering, or a related field.
• Deep expertise in AIGC algorithms, such as LLMs or diffusion models, and a record of scaling models from research to production.
• Strong background in NLP (text generation, RLHF) or multimodal learning (vision-language models).
• Proficiency in PyTorch/JAX, distributed training, and inference optimization; ability to set technical direction and collaborate across teams.

Nice to have

• Experience with AI safety, alignment, or adversarial robustness in generative models.
• Familiarity with reinforcement learning for autonomous agents or large-scale recommender systems.

Tools

LLMs, diffusion models, NLP, RLHF, vision-language models, PyTorch/JAX

AI focus

Generative AI and foundation-model research and deployment for content understanding and monetization, including text generation/translation, multimodal understanding, deepfake synthesis/detection, efficient training and inference, and scalable AIGC systems.