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Key job responsibilities* Map business requirements and customer needs to a scientific problem.* Align the research direction to business requirements and make the right judgments on research/development schedule and prioritization.* Research, design and implement scalable machine learning (ML), natural language, or computational models to solve problems that matter to our customers in an iterative fashion.* Mentor and develop junior applied scientists and developers who work on data science problems in the same organization.* Stay informed on the latest machine learning, natural language and/or artificial intelligence trends and make presentations to the larger engineering and applied science communities.
- 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
- PhD
- 2+ years of CS, CE, ML or related field experience
- Have publications at top-tier peer-reviewed conferences or journals
- Proven track record of successfully applying ML-based solutions to complex problems in business, science, or engineering.
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