- PhD, or Master's degree and 5+ years of applied research experience
- Specialization in machine learning, Deep Learning, NLP, Computer Vision, GenAI or related fields.
- Strong working knowledge of programming languages such as C/C++, Java, or Python.
- Proven ability to relate to and solve business problems through machine learning, data mining and statistical algorithms
- Published and/or presented papers at ACL, ICML, NIPS, KDD, CVPR or similar top-tier conferences and events.
- Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule trade-offs and new opportunities with technical team members.
- Strong problem solving skills
- Excellent communication skills
- PhD
- Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams.
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
- Solid understanding of machine learning, deep learning algorithms and computational complexity.
- Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.
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