Summary
Microsoft AI are looking for a talented Member of Technical Staff, AI Data to join their MAI Superintelligence Team in London. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.
About the Role
As a Member of Technical Staff, AI Data, you will be responsible for designing and developing data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video). You will also build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. You will partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation. You will collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models.
Accountabilities
- Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video).
- Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.
The Candidate we're looking for
Experience:
- Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR equivalent experience.
Technical skills:
- Expertise in large scale data engineering ideally applied to AI
- Expertise in Spark, Kubernetes or similar
Personal attributes:
- Passionate about the role of data in large-scale AI model training
- Will thrive in a highly collaborative, fast-paced environment
- High degree of craftsmanship and pay close attention to details
Benefits
- Competitive salary
- Comprehensive benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Access to cutting-edge technology and tools
- Flexible work arrangements
