TL;DR

Principal Applied Scientist (AI): Developing and optimizing a state-of-the-art shopping knowledge graph and related AI systems to enhance shopping experiences with an accent on multimodal techniques, LLM-based generative methods, and scalable optimization. Focus on designing advanced reasoning technologies, building innovative shopping agents, and driving machine learning innovations in NLP and computer vision.

Location: Must be based in the United States with onsite work expected at Redmond, WA or Mountain View, CA

Salary: $139,900–$304,200 per year depending on location

Company

%hirify_global% is a leading technology company focused on empowering people and organizations through innovative AI and software solutions.

What you will do

Design, implement, and execute features related to data science, machine learning, and knowledge graph development.
Drive innovations in LLM reasoning, analytics, retrieval, ranking, NLP, and computer vision models for ads recommender systems.
Build scalable and optimized shopping knowledge graph and agentic systems.
Develop deep research shopping agents and catalog agents to enhance shopping experiences.
Collaborate across teams to deliver cutting-edge reasoning technologies.
Embody company culture and values in all work.

Requirements

Must be based in the United States with ability to work onsite in Redmond or Mountain View
Bachelor’s degree with 6+ years or Master’s with 4+ years or Doctorate with 3+ years in Computer Science, Electrical or Computer Engineering, or related field.
Experience in knowledge graph building, entity linking, and machine learning technologies including NLP and computer vision.
1+ year experience with LLM generative AI technologies such as chatbots and reasoning.
Publications in peer-reviewed AI/Data Science conferences preferred.
Strong background in statistics, predictive analytics, and research.

Culture & Benefits

Inclusive culture emphasizing respect, integrity, and accountability.
Growth mindset and innovation-driven environment.
Onsite work expected at least four days per week within 50-mile commute of designated offices.
Competitive salary with benefits and additional compensation opportunities.