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What you'll be doing:
Platform Development: Spearhead the design and implementation of scalable, distributed structured data platforms. Your work will facilitate the indexing, mining, transformation, and composition of petabyte (PB) scale deep learning datasets.
Collaborative Innovation: Work hand-in-hand with multiple AI teams, crafting a future-proof platform that not only meets their current needs but anticipates future advancements, enhancing their overall productivity.
User Support: Act as a foundational support system for platform users, ensuring a seamless and productive experience.
What we need to see:
Academic Excellence: A BS, MS, in Computer Architecture, Computer Science, Electrical Engineering, or a related field, or equivalent experience.
Technical Prowess: A robust programming background, emphasizing data structures, design patterns, Object-Oriented Programming (OOP), and a proficiency in Java, Scala, or Go.
Experience: At least 3 years of work or research experience in the structured data platform development and design.
Versatility and Motivation: The capacity to navigate between long-term and immediate tactical tasks smoothly and a strong self-motivated mentality.
Ways to stand out from the crowd:
Platform Familiarity: Experience and internal knowledge with world-class structured data platforms such as Delta Lake, Spark, Flink, Kafka, will be a distinct advantage.
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