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Key Responsibilities:Develop high-performance, production-ready code optimized for large-scale, high-traffic applications.
Analyze vast datasets to uncover actionable insights, design scalable algorithms, and seize opportunities for innovation.
Key job responsibilities
Collaborate closely with Software Development Engineers to seamlessly integrate machine learning models into production systems, ensuring they meet the stringent latency requirements necessary to process millions of events per day. Address engineering challenges by developing innovative workarounds and optimizations, enabling the efficient deployment and scalability of these models in real-world environments.A day in the life
PhD and experience in CS, CE, ML or related field
6+ years of industry experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Experience using Unix/Linux
Experience in professional software development
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