Applied Scientist, Sponsored Products Off-Search Auction (AI)

TL;DR

Applied Scientist, Sponsored Products Off-Search Auction (GenAI): Contribute to the design and development of GenAI, deep learning, multi-objective optimization and reinforcement learning solutions to transform ad retrieval, auctions, whole-page relevance, and bespoke shopping experiences with an accent on scalable production-ready science. Focus on collaborating cross-functionally, staying ahead of industry trends in GenAI and LLMs, enhancing scientific rigor, and mentoring junior scientists and engineers.

USA: WA Seattle, NY New York, CA Palo Alto

USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually; USA, NY, New York - 172,400.00 - 223,400.00 USD annually; USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually

Company

The Sponsored Products and Brands (SPB) team at hirify.global Ads builds delightful ad experiences across hirify.global surfaces beyond Search, such as product detail pages, homepage, and store-in-store pages, using GenAI to drive monetization and personalization.

What you will do

• Design and develop GenAI, deep learning, multi-objective optimization, and reinforcement learning solutions for ad retrieval, auctions, whole-page relevance, and personalized shopping experiences.
• Collaborate with scientists, engineers, and product managers to deliver scalable, production-ready solutions.
• Track industry trends in GenAI and LLMs, introducing innovative concepts, ideas, and prototypes.
• Enhance team's scientific rigor with best-in-class algorithms, methodologies, and infrastructure for experimentation and scaling.
• Mentor junior scientists and engineers to build a high-performing team.

Requirements

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 3+ years of building models for business applications
• 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
• Experience developing and deploying models in real-world production environments

Nice to have

• Proven expertise in Generative AI, foundation models, LLMs, and 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, and metrics design for advertising or e-commerce
• Ability to communicate complex technical topics to technical and non-technical audiences
• Experience in computational advertising, auction theory, ad economics, and advertiser metrics

Culture & Benefits

• Comprehensive benefits including health insurance (medical, dental, vision, prescription), Basic Life & AD&D, Supplemental life plans, EAP, Mental Health Support, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement
• 401(k) matching, paid time off, parental leave
• Inclusive culture empowering high performance and customer focus
• Sign-on payments and restricted stock units (RSUs) as part of compensation package