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Описание вакансии
Текст:
TL;DR
Data Infra (AI) (Spark/Ray/Vector Databases): Building data infrastructure and multimodal pipelines for petabyte-scale AI model training with an accent on data ingestion, distributed processing, and vector databases. Focus on designing systems for text, audio, image, and video data, maintaining critical infrastructure, and improving data recipes through rigorous experimentation.
Location: London, United Kingdom or Zurich, Switzerland. Employees living within 25 miles of a designated Microsoft office outside the U.S. are expected to work from that office at least four days per week from January 26, 2026, subject to local law.
Salary: £93,500–£161,800 per year base pay in the United Kingdom.
Company
Microsoft AI develops advanced AI models and the data infrastructure required to train and deploy them at scale.
What you will do
- Design and develop pipelines ingesting large volumes of multimodal training data, including text, audio, images, and video.
- Own and maintain critical data infrastructure using Spark, Ray, vector databases, and related technologies.
- Build infrastructure capable of storing and processing petabytes of data for AI model training.
- Partner with pretraining and post-training teams to improve data recipes through rigorous experimentation.
Requirements
- Bachelor’s degree in computer science, mathematics, software engineering, computer engineering, or a related field with 6+ years of relevant experience; or a master’s degree with 4+ years of relevant experience; or equivalent experience.
- Relevant experience may include data engineering, data modeling, software development, data science, or business analytics.
- Passion for the role of data in large-scale AI model training.
- High degree of expertise, strong attention to detail, proactive attitude, and ability to manage shifting priorities.
Nice to have
- Bachelor’s degree with 8+ years of relevant experience or master’s degree with 6+ years of relevant experience.
Culture & Benefits
- Collaborative, fast-paced environment focused on innovation and experimentation.
- Growth mindset with an emphasis on respect, integrity, accountability, and inclusion.
- Eligible roles may include benefits and additional compensation.
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