- Develop new machine learning algorithms (classification, prediction, optimization) to reduce cost and maximize quality, performance and safety of large-scale manufacturing systems
- Define problems based on customers’ needs and data, clean, simulate and process data, design and run analytics experiments
- Independently and effectively engage with external technical stakeholders and subject matter experts to understand and solve critical business problems through the application of cutting-edge artificial intelligence
- Collaborate with engineering teams to design and implement software solutions for science problem
- Contribute to generate intellectual properties (patents, research papers)
- BS degree in CS, EE, ME, Math, Statistics, Physic, or related engineering major
- Research or/and industry experience in applying machine learning to complex industrial problems
- Hands-on experience in programming in Python, Matlab, R, Java, C++, or other libraries such as Tensorflow, Pytorch, Scikit-learn, Scipy, Pandas, Matplitlib, etc.
- Research experience (optional): Track record of publications in ICML, NeurIPS, AAAI, CVPR, etc.