Senior Applied Scientist, Sponsored Products and Brands Off-Search

What you'll do

• Design and develop GenAI, deep learning, optimization, or reinforcement-learning solutions for advertising and shopping experiences.
• Collaborate with scientists, engineers, and product managers to deliver scalable, production-ready solutions.
• Advance scientific methods and infrastructure, track AI developments, and mentor junior scientists and engineers.

What they ask for

• 3+ years of experience building machine learning models for business applications.
• PhD, or Master's degree and 6+ years of applied research experience.
• Programming experience in Java, C++, Python, or a related language.
• Strong foundation in GenAI, LLMs, machine learning, deep learning, probabilistic modeling, and/or optimization; experience deploying models in production.

Nice to have

• Expertise in Generative AI, foundation models, LLMs, or fine-tuning; experience with ads ranking, retrieval, recommendation, search, or personalization at web scale.
• Knowledge of multimodal modeling, few-shot learning, RAG, RLHF, online experimentation, computational advertising, or communicating complex technical topics.

Pay

USD 183,800.00 - 248,700.00 annually (base salary); USD 167,100.00 - 226,100.00 annually (base salary)

Tools

GenAI, LLMs, Java, C++, Python, RAG, RLHF

AI focus

Develop and deploy generative AI, LLM, deep-learning, optimization, and reinforcement-learning approaches for advertising retrieval, allocation, relevance, recommendations, and personalized shopping experiences.