В Microsoft AI роль чётко связана с разработкой передовых моделей, но заявленный диапазон зарплаты ниже рыночного ориентира, а работа предполагает присутствие в офисе в США.
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Ниже рынкаВысокий уровеньСовременный стекПередовой AI
Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Researcher - Pretraining Data (AI): Creating and evaluating large-scale datasets and scalable data pipelines for frontier AI models with an accent on data quality, diversity, annotation, and responsible AI. Focus on running data ablation experiments, analyzing model behavior, and building auditing and versioning tools for high-impact training data.
Location: Mountain View, California; New York City, New York; or Redmond, Washington, United States
Salary: USD $119,800–$234,700 per year for IC4 roles, with location-specific ranges of USD $160,200–$261,000 in the San Francisco Bay Area and New York City; USD $142,800–$274,800 per year for IC5 roles, with location-specific ranges of USD $188,000–$304,200.
Company
Microsoft AI develops frontier artificial intelligence models and products at scale.
What you will do
Create high-quality datasets for AI model training and evaluation.
Run data ablation experiments to measure dataset impact and identify effective training data.
Develop and maintain scalable pipelines for data ingestion, processing, filtering, and annotation.
Analyze large real-world datasets for quality, diversity, relevance, and improvement opportunities.
Build tools for dataset auditing, visualization, and versioning.
Collaborate with Safety, Ethics, and Governance teams on privacy, quality, and responsible AI standards.
Requirements
Bachelor’s degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field, plus 4+ years of technical engineering experience, or equivalent experience.
Programming experience in Python and common data libraries such as Pandas and NumPy.
Experience analyzing or engineering large-scale unstructured or semi-structured datasets.
Proficiency in statistics and exploratory data analysis.
Ability to communicate technical findings clearly to research and product teams.
Nice to have
10+ years of technical engineering experience, or a master’s degree with 8+ years of experience.
Familiarity with Spark, Ray, or Apache Beam.
Culture & Benefits
Cross-disciplinary collaboration with scientists, engineers, annotators, and governance specialists.
Work focused on research and engineering improvements for shipped AI models and products.
Benefits and additional compensation may be available depending on the role and location.
Equal employment opportunity and reasonable accommodation support are provided.
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