Member of Technical Staff, AI Data

Requirements

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modeling, or data engineering work
• OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work
• OR equivalent experience
• Experience using data processing technologies for Multimodal dataset scalability, parallel processing, data handling, streaming/batch processing, etc.
• Experience working with distributed computing tools such as Spark, Kubernetes, TensorFlow, Flink, and Pyspark
• Experience in conducting research in Machine Learning or working as an ML Engineer/ MLOps/ SWE
• Experience designing and developing data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video) and building infrastructure to support this work from the ground up

Nice to Haves

• Experience working with large scale of data ideal Petabyte scale or above

What You'll Be Doing

• 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
• Partner with the pretraining and post-training teams to improve the data recipe through experimentation
• Collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models
• Embody Microsoft's culture and values

Perks and Benefits

• Benefits and perks may vary depending on the nature of employment with Microsoft and the country of work