Software Engineer (Data), AI Platform
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The role
Own and optimize the management of PB-scale GenAI datasets, including storage, processing, and validation.
Build and evolve an end-to-end data-pipeline infrastructure designed for extreme speed and throughput.
Collaborate with ML researchers and engineers to accelerate training-data acquisition, improve data quality, and enable closed-loop data lifecycles.
Lower barriers to data access and maximize data utility across GenAI use cases.
Bring strong Python development skills and experience with data services to deliver scalable, production-grade solutions.
Apply expertise with Hive, MySQL, MongoDB, Elasticsearch and data processing frameworks (Hadoop/Spark/Flink/Ray) to optimize data storage, processing, and validation.
Build and evolve an end-to-end data-pipeline infrastructure designed for extreme speed and throughput.
Collaborate with ML researchers and engineers to accelerate training-data acquisition, improve data quality, and enable closed-loop data lifecycles.
Lower barriers to data access and maximize data utility across GenAI use cases.
Bring strong Python development skills and experience with data services to deliver scalable, production-grade solutions.
Apply expertise with Hive, MySQL, MongoDB, Elasticsearch and data processing frameworks (Hadoop/Spark/Flink/Ray) to optimize data storage, processing, and validation.
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