Applied Scientist II (AI)

TL;DR

Applied Scientist II (AI/ML): Designing and implementing advanced AI and machine learning solutions for local search experiences with an accent on LLMs, RAG, and entity understanding. Focus on developing scalable models, optimizing retrieval-augmented generation, and improving the quality of Bing Places.

Location: Redmond, United States

Salary: $102,100 – $202,200 per year

Company

hirify.global AI builds intelligence that powers global search and geospatial reasoning across Bing and Maps.

What you will do

• Formulate complex product and engineering problems as ML/AI tasks and drive them from concept to production.
• Design and evaluate LLM-based models to improve quality, relevance, and coverage of Bing Places.
• Conduct rigorous data analysis to understand system behavior and define success metrics.
• Prototype new modeling approaches and iterate based on offline evaluation and online A/B testing.
• Collaborate with engineers to integrate models into production systems at hirify.global scale.
• Communicate technical results through design reviews, research papers, and patent filings.

Requirements

• Bachelor's degree in CS, Stats, or related field with 2+ years of experience, Master's with 1+ year, or PhD.
• Proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX.
• Experience applying AI solutions or LLMs to real-world systems (RAG, ranking, classification, reasoning).
• Proven expertise in machine learning, statistical methods, and data-driven problem solving.
• Hands-on experience developing and evaluating models on large-scale, real-world datasets.
• Must be based in or able to work from Redmond, United States

Nice to have

• Background in search, information retrieval, knowledge graphs, or entity understanding.
• Track record of publications or granted/pending patents.
• Familiarity with distributed training, model optimization, and production ML infrastructure.

Culture & Benefits

• Work on high-impact systems used by millions of people every day.
• Collaborate within a global-scale environment combining research and production.
• Opportunity to contribute to the broader scientific community via patents and papers.
• Comprehensive corporate benefits and equal opportunity employment.