Applied Scientist (AI)

TL;DR

Applied Scientist (AI): Designing and implementing new relevance metrics, building labeling pipelines, and fine-tuning language models to improve local search quality. Focus on prompt engineering, applying modern LLM techniques like Retrieval Augmented Generation, and creating scalable workflows for measurement and evaluation.

Location: Barcelona, Spain. Expected to work from the office at least four days per week if living within a 25-mile commute of a designated Microsoft office.

Company

hirify.global aims to empower every person and every organization on the planet to achieve more, fostering a culture of inclusion, respect, integrity, and accountability.

What you will do

• Design and implement new relevance metrics to measure and improve local search quality.
• Develop and optimize LLM/SLM labeling pipelines for consistent quality judgments.
• Engineer and fine-tune prompts for LLMs to enhance query understanding and classification accuracy.
• Apply modern LLM techniques such as retrieval-augmented generation for improved grounding and relevance.
• Build scalable workflows and dashboards for measurement, evaluation cycles, and quality checks.
• Analyze failure modes and improve prompt rubrics to reduce defect rates.
• Collaborate with cross-functional teams to integrate metrics and labeling systems into production environments.

Requirements

• Bachelor’s, Master’s, or Doctorate Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field, along with hands-on experience.
• Ability to meet Microsoft Cloud Background Check security screening requirements upon hire and every two years thereafter.

Culture & Benefits

• Accelerate career growth by working on state-of-the-art AI systems.
• Develop deep expertise in prompt engineering and model tuning.
• Hone skills in building robust data pipelines and quality frameworks.
• Work in a culture of inclusion, respect, integrity, and accountability.