Applied Scientist II (Bing Places, AI)

TL;DR

Applied Scientist II (Bing Places): Design, build, and ship advanced AI and machine learning solutions spanning LLMs, RAG, learning-to-ranking, and entity understanding to deliver high-quality local search experiences at scale with an accent on real-world impact and trustworthiness. Focus on end-to-end development from problem formulation, data analysis, model experimentation, to production deployment and A/B testing.

Redmond, United States

USD $100,600 – $199,000 per year (USD $131,400 – $215,400 in San Francisco Bay area and New York City)

Company

Bing Places team building intelligence that powers local search experiences used by millions daily.

What you will do

• Formulate complex product and engineering problems as ML and AI tasks and drive them from concept to production.
• Design, implement, and evaluate ML- and LLM-based models to improve Bing Places quality, relevance, and coverage.
• Conduct data analysis to understand system behavior, identify opportunities, and define success metrics.
• Prototype modeling approaches, iterate via offline evaluation and online experimentation, and own experimentation pipelines.
• Partner with engineers to integrate models into production systems for reliability and performance.
• Drive technical direction, influence decisions, and document results through reviews, papers, and patents.

Requirements

• Bachelor’s in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related AND 2+ years experience (or Master’s +1 year, or Doctorate).
• Experience in statistics, predictive analytics, or research.

Nice to have

• Master’s or PhD in relevant field.
• 4+ years applying AI/LLMs to real-world systems (RAG, ranking, classification, reasoning).
• Expertise in ML, statistical methods, Python, modern ML frameworks (PyTorch, TensorFlow, JAX).
• Experience with large-scale datasets, experimentation, search/IR, knowledge graphs, distributed training.
• Publications, patents, strong collaboration and communication skills.

Culture & Benefits

• Collaborate closely with engineering and product partners on hirify.global-scale projects.
• Contribute to scientific community via publications and patents.
• Eligible for benefits and other compensation (details at careers.hirify.global.com).