Think Beyond The Label Jobs

WWE platform focuses on providing a search and recommendation platform for Microsoft internal partners using the documentation recall and reranking backend service suite. As a team, we manage one of the world’s largest distributed systems and have experienced great success in building efficient large scale distributed systems for search. WWE platform has a per decade rare opportunity to simplify the serving stack, to serve the biggest index with the most efficient way, and to drive up the relevance innovations with advanced deep learning and large language model techniques. The agility of engineering and deployment also presents as a big challenge when handling such a complex system. As Bing embraces the latest LLM innovations, the need for a platform to build up AI intelligence is becoming bigger.

Within WWE platform, we are the IndexServe selection team and we have the exciting responsibility of trying to tackle these challenges. As a team, we are trying to build the most agile, performant, stable, experientable yet efficient index serving platform. On this platform, relevance techniques can be quickly implemented, iterated, qualified and flighted to evaluate their customer impacts with convenient while full-funnel debuggability. The same platform also provides all the cutting edged techniques and utilities, it has the most advanced AI toolset for our scientists to innovate, and for our products to serve most relevant documents.

Responsibilities

We are looking for motivated talents to build Core Search platform. You need to:

• Design services at large scale, low latency, high reliability, low cost to maintain and operate.

• Service performance profiling and scaling-up.

• Advanced distributed service debugging.

• Collaborating across multiple teams to design and deliver the solutions.

Qualifications

Required Qualifications:

• BS/MS in Computer Science, or equivalent experience

• 8+ years industrial experiences on an Object-Oriented Language, such as C++ (preferred), C#, or Java

Preferred Qualifications:

• Experience on high-performance computing (e.g. cache/memory optimization, high-performance GPU programming, compiler-based optimization, fine-grained parallel library and runtime) or large-scale distributed systems (e.g., communication optimization, network architecture design, network programming) is a plus.

• Capable of quantitatively implementing and qualifying a solution in a distributed environment with DevOps model

• Experience on Search/Ads/Recommendation areas is a plus

• Experience on building Machine Learning/Deep Learning systems is a plus.

• Experience on performance analysis and optimization for both CPUs and GPUs, as well as good understanding on software-hardware codesign, is a plus.

#WWE

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