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A day in the life
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 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
- PhD in Computer Science (Machine Learning, AI, Statistics, Electrical Engineering or equivalent);
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience delivering systems into production with high precision.
- More than 4 years of industrial/academic experience in building classification models
- Extensive practical experience in several of the following areas: ML, LLM, Natural Language Processing, Recommendation Systems, Clustering techniques, applied ML or AI features/products/systems
- Ability to handle multiple competing priorities in a fast-paced environment
- Significant peer reviewed scientific contributions in premier journals and conferences
- Experience with defining research and development practices in an applied environment;
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