Senior Applied Scientist (AI)

TL;DR

Senior Applied Scientist (AI): Developing and optimizing advertising solutions using state-of-the-art generative AI technologies and deep learning with an accent on ad retrieval, auctions, and whole-page relevance. Focus on applying frontier AI to real-world problems with massive scale and impact, building novel generative models, and enhancing customer shopping experiences.

Location: Onsite in Palo Alto, New York, or Seattle, USA

Salary: $167,100–$260,000 annually (depending on location)

Company

hirify.global is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands.

What you will do

• Design and develop solutions using GenAI, deep learning, multi-objective optimization, and reinforcement learning for ad retrieval, auctions, and shopping experiences.
• Partner with scientists, engineers, and product managers to build scalable, production-ready science solutions.
• Apply industry advances in GenAI and LLMs to create innovative prototypes and concepts.
• Improve scientific and technical capabilities through algorithm implementation and infrastructure development for experimentation.
• Mentor junior scientists and engineers to foster a high-performing, collaborative team.

Requirements

• PhD, or Master's degree and 6+ years of applied research experience.
• 3+ years of experience building machine learning models for business application.
• Experience programming in Python, Java, or related languages.
• Experience with Machine Learning and Large Language Model fundamentals.
• Experience in machine learning, data mining, information retrieval, statistics, or natural language processing.

Nice to have

• Demonstrated expertise in Generative AI technologies, including foundation models, LLMs, and model customization.
• Hands-on experience building ads ranking, retrieval, recommendation, or personalization systems at web scale.
• Technical proficiency in advanced AI approaches like multi-modal modeling, few-shot learning, RAG, or RLHF.
• Track record of designing and implementing online experimentation frameworks, including A/B testing.
• Deep knowledge of computational advertising fundamentals.

Culture & Benefits

• Comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage).
• 401(k) matching.
• Paid time off and parental leave.
• Inclusive culture that empowers Amazonians.
• Opportunity to define the next chapter of advertising science.