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Key job responsibilities- Design and execute experiments to evaluate the performance of different models, and iterate quickly to improve results
- Create robust evaluation frameworks for assessing model performance across different domains and use cases- Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports
- You will mentor and guide junior scientists and contribute to the overall growth and development of the team
- 6+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience in Large Vision/Language Models
- Excellent technical publications and material contributions to the CV/ML/AI field as related to image and video processing
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