Applied Scientist, Sponsored Products Off-Search Homepage Team (GenAI)

TL;DR

Applied Scientist, Sponsored Products Off-Search Homepage Team (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 with scientists, engineers, and product managers, staying ahead of industry trends in LLMs, and mentoring junior team members.

USA, WA, Seattle or USA, CA, Palo Alto

USA, CA, Palo Alto - $171,600 - $222,200 USD annually

Company

hirify.global Ads Sponsored Products and Brands team re-imagining advertising through generative AI across hirify.global.com surfaces like homepage and product detail pages.

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 deploy scalable science solutions in production.
• Track industry trends in GenAI and LLMs, prototyping innovative concepts.
• 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 + 4+ years in CS, CE, ML or related; 3+ years building models for business applications.
• Programming experience in Java, C++, Python or similar.
• Experience with ML and LLM fundamentals including architecture, training/inference, optimization, or in data mining, IR, stats, NLP.
• Experience developing and deploying models in production environments.

Nice to have

• Expertise in Generative AI, foundation models, LLMs, fine-tuning.
• Hands-on with ads ranking, retrieval, recommendation systems, search, personalization at scale.
• Understanding of multi-modal modeling, few-shot learning, RAG, RLHF.
• Experience with online experimentation, A/B testing, metrics for ads/e-commerce.
• Communication of complex topics; familiarity with computational advertising, auction theory.

Culture & Benefits

• Comprehensive benefits: medical, dental, vision, prescription, life insurance, EAP, mental health support, FSAs, adoption reimbursement.
• 401(k) matching, paid time off, parental leave.
• Inclusive culture empowering high performance and customer focus.
• Sign-on payments and RSUs as part of compensation package.