В Microsoft AI это хорошо очерченная senior-роль на стыке ИИ и здравоохранения, с зарплатой выше медианы бенчмарка и сильным фокусом на оценке LLM.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Applied AI Engineer, Health (LLM evaluation and healthcare AI): Building evaluation systems, datasets, and tooling for LLM-based healthcare products with an accent on model accuracy, safety, utility, and agent performance. Focus on designing benchmarks, running prompting experiments, analyzing regressions, and communicating evaluation results to cross-functional stakeholders.
Location: London, United Kingdom
Salary: £93,500–£161,800 per year
Company
Microsoft AI develops AI models and services, including Copilot products for health and wellbeing use cases.
What you will do
Design and build evaluation systems for LLM capabilities in healthcare.
Build evaluation pipelines, curate and synthesize datasets, and develop automated analyses.
Run experiments on prompting techniques using internal and industry benchmarks.
Improve internal tooling for implementing, running, and analyzing evaluations.
Build benchmarking and regression-testing capabilities covering model accuracy, safety, and utility.
Collaborate with product teams to translate research into benchmarks and product roadmaps.
Requirements
Bachelor’s or higher degree in Computer Science or a related technical discipline.
Significant Python programming experience or machine learning research experience.
Experience building with and around LLMs, including prompt, context, and harness engineering.
Deep expertise in evaluating and understanding agent performance.
Experience working cross-functionally and delivering high-quality results in ambiguous environments.
Experience taking products or capabilities from 0 to 1 with a bias toward shipping and learning.
Nice to have
Experience in healthcare technology or the health domain.
Experience sourcing, curating, and processing text datasets at scale.
Strong written and verbal communication skills.
Interest in emerging AI technologies, patterns, and best practices.
Culture & Benefits
Cross-functional collaboration with product managers, designers, researchers, and engineers.
Inclusive work environment focused on knowledge sharing and professional growth.
Benefits and additional compensation may be available depending on the role.
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