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Research Scientist Intern (Ads Integrity) - 2026 Start (PhD)
San Jose, California · Internship · Posted Oct 28, 2026
- Education
- Current Ph.D. student in Computer Science, AI, Machine Learning, or related fields by 2026 (or equivalent industry experience).
About the job
Research and develop generative AI systems for content understanding and monetization, then collaborate on deploying them in production.
What you'll do
- Develop generative AI technologies, including LLMs, multimodal models, and deepfake detection or synthesis.
- Build AIGC solutions and RL-based agents for applications such as ads, e-commerce, short video, and live streaming.
- Improve large-model training and inference efficiency and help transition research into production services.
What they ask for
- Current Ph.D. student in Computer Science, AI, Machine Learning, or a related field by 2026, or equivalent industry experience.
- Foundational experience in deep learning, NLP, and generative 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 or active research/paper review at top-tier conferences, or equivalent.
- Knowledge of AI safety, alignment, and adversarial robustness; agentic systems experience; or strong model deployment and optimization skills.
Tools
LLMs, multimodal models, PyTorch, JAX, TensorFlow, RLHF, diffusion models
AI focus
Generative AI research and development for content understanding and monetization, including LLMs, multimodal models, deepfake detection and synthesis, RL-based agents, AI safety, and efficient model training and inference.
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