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 conducted research in Machine Learning or worked 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 have the skills to be able to build 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 data recipes by rigorous and careful experimentation
Collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models
Embody the culture and values
Perks and Benefits
Microsoft is an equal opportunity employer
All qualified applicants will receive consideration for employment without regard to various characteristics
If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form
Benefits/perks listed may vary depending on the nature of your employment with Microsoft and the country where you work