The common responsibilities for this position include researching machine learning models for various AI applications such as computer vision, computer graphics, natural language processing, and audio synthesis. Prototyping and iterating on advanced research using proprietary software is essential. Running and analyzing machine learning experiments to identify issues and validate improvements is a key duty. Collaborating with a small team to balance flexibility and iteration speed with stability and reliability in complex projects is also required. Understanding the high-level research roadmap to assist in planning and prioritizing future experiments is important. Additionally, building large-scale end-to-end machine learning systems from prototype research to production deployment is a significant responsibility. Engaging in R&D for AI video/image analytics, audio analytics, time series analytics, and NLP model development is also part of the role.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
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