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

• Design and develop GenAI, deep learning, multi-objective optimization, and reinforcement learning solutions for ad retrieval, auctions, and whole-page relevance.
• Collaborate with scientists, engineers, and product managers to implement scalable, production-ready science solutions.
• Stay updated on industry trends in GenAI and LLMs, bringing innovative concepts and prototypes to the organization.
• Enhance scientific rigor by implementing best-in-class algorithms, methodologies, and infrastructure for rapid experimentation.
• Mentor and grow junior scientists and engineers to build a high-performing, collaborative team.

Required Skills & Qualifications

Must Have:

• 3+ years of building machine learning models for business applications.
• PhD or Master's degree with 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, fine-tuning, and customization 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, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (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 to technical and non-technical audiences.
• Experience in computational advertising, including auction theory, ad economics, and advertiser performance metrics.

Benefits & Perks

• Base pay ranging from $150,400 to $260,000 per year depending on geographic market.
• Total compensation package including equity, sign-on payments, and other forms of compensation.
• Full range of medical, financial, and other benefits.
• Inclusive culture with accommodations for disabilities during application and hiring process.