The point where experts and best companies meet
Share
Key job responsibilities- Translate business requirements/problems into specific plans for research and applied scientists, as well as engineering and product teams.
- Drive and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring.- Build scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.A day in the lifeBellevue, WA, USA
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 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
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 4+ years of building machine learning models or developing algorithms for business application experience
- Experience in professional software development
- Significant peer reviewed scientific contributions in premier journals and conferences
These jobs might be a good fit