В Microsoft AI предстоит работать с данными для передовых моделей в достаточно ясно очерченной инженерно-исследовательской роли, а зарплата соответствует среднему уровню по бенчмарку. Основной компромисс - работа в офисе в Лондоне.
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Работа над ИИАктуальный стекПонятные задачиСредний уровень оплатыРабота из офиса
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Pretraining Data (AI): Designing and engineering high-quality datasets, scalable data pipelines, and evaluation workflows for frontier AI foundation models with an accent on dataset quality, diversity, integrity, and responsible AI. Focus on running data ablation experiments, analyzing large-scale unstructured and semi-structured datasets, and building tools for auditing, visualization, and versioning.
Location: London, United Kingdom
Salary: £74,700–£122,600 per year for Software Engineering IC4; £93,500–£161,800 per year for Software Engineering IC5.
Company
Microsoft AI develops frontier AI models and products, with this role supporting pre-training initiatives across Microsoft AI.
What you will do
Design and curate high-quality datasets for training and evaluation of frontier AI models.
Run experiments and data ablations to assess dataset impact and identify effective data sources.
Develop and maintain scalable pipelines for data ingestion, processing, filtering, and annotation.
Analyze real-world datasets for quality, diversity, relevance, and improvement opportunities.
Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
Collaborate with Safety, Ethics, and Governance teams on quality, privacy, and responsible AI standards.
Requirements
Bachelor’s degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical discipline and 4+ years of technical engineering experience with coding, or equivalent experience.
Technical coding experience with Python and common data libraries such as Pandas and NumPy.
Experience in data analysis or data engineering, including work with large-scale unstructured or semi-structured datasets.
Proficiency in statistics and exploratory data analysis methods.
Ability to communicate technical findings clearly to research and product teams.
Nice to have
Bachelor’s degree in a relevant technical discipline and 10+ years of technical engineering experience, or a master’s degree in a relevant technical discipline and 8+ years of technical engineering experience, or equivalent experience.
Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.
Culture & Benefits
Cross-disciplinary collaboration with scientists, engineers, and annotators.
Work focused on research and engineering that improves shipped AI models and products.
Collaboration with Safety, Ethics, and Governance teams to support privacy and responsible AI practices.
Certain roles may be eligible for benefits and other compensation.
Microsoft is an equal opportunity employer.
Hiring process
Applications are accepted on an ongoing basis until the position is filled.
The position will be open for a minimum of five days.
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