AI Research Scientist (Technical Leadership)

What you'll do

• Set multi-year research direction and lead research programs for ads retrieval, ranking, recommendation, and optimization.
• Develop scalable AI systems and ML methods, including model and hardware-software co-design, and establish evaluation approaches.
• Guide research strategy across teams, publish findings, mentor researchers, and partner with product, engineering, and infrastructure teams.

What they ask for

• Bachelor’s degree in a relevant technical field or equivalent practical experience.
• 12+ years of AI research experience spanning foundational research and applied machine learning.
• Track record leading significant AI research programs, with extensive publications and citations in peer-reviewed AI venues.
• Experience developing and deploying large-scale AI/ML systems and communicating technical strategy to diverse audiences.

Nice to have

• Experience with ads ranking, recommendation systems, or large-scale retrieval systems.
• Production experience with generative models, LLMs for recommendation, reinforcement learning, or causal inference.

Pay

$271,000/year to $347,000/year USD base salary; bonus and equity amounts not specified

Tools

LLMs, AutoML, reinforcement learning, causal learning, ML compilers, GPUs, MTIA, NeurIPS

AI focus

Foundational and applied AI research for ads retrieval, ranking, recommendation, and optimization, including generative methods, large-scale architectures, ML systems, and hardware-software co-design.