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Key Responsibilities
Key job responsibilities
Dive into innovative research on ML techniques to overcome the challenge of meeting strict latency requirements for real-time online inference, shaping the future of seamless customer experiences!A day in the life
8:30 AM – Start the Day with Focus10:00 AM – Deep Dive into Research
12:00 PM – Lunch and Networking
1:00 PM – Model Development and Experimentation
3:30 PM – Collaboration Time
Meet with engineers to optimize deployment strategies for models in production. Discussions often focus on meeting latency requirements for real-time inference without compromising accuracy. This synergy between science and engineering is key to delivering scalable solutions.4:30 PM – Results Review and Insights
Analyze experimental results, document findings, and prepare for upcoming iterations. Insights gained here shape the next steps, whether it’s tweaking hyperparameters or exploring a new approach entirely.5:30 PM – Wrap-Up
6:00 PM – Personal Development and Learning
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in building models for business application
- 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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