About the Role

Senior Applied Scientist role focused on revolutionizing advertising through generative AI and large language models. Responsibilities include designing GenAI solutions for ad retrieval, auctions, and personalized shopping experiences. The role involves cross-functional collaboration and mentoring junior team members.

Key Responsibilities

• Contribute to design and development of GenAI, deep learning, and optimization solutions for ad retrieval and auctions
• Collaborate cross-functionally with scientists, engineers, and product managers to implement scalable solutions
• Stay abreast of industry trends in GenAI and LLMs, bringing innovative concepts to the organization
• Enhance team's scientific rigor by implementing best-in-class algorithms and methodologies
• Mentor and grow junior scientists and engineers

Required Skills & Qualifications

Must Have:

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization

Nice to Have:

• Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning for downstream tasks
• Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale
• Deep understanding of multi-modal modeling, few-shot learning, RAG, or RLHF
• Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce
• Demonstrated ability to communicate complex technical topics clearly
• Experience in computational advertising including auction theory and ad economics

Benefits & Perks

• Medical benefits
• Financial benefits
• Other benefits (full range)