Machine Learning Engineer


  1. Build, maintain, and improve efficient and reliable data mining and machine learning models.
  2. Work closely with researchers in designing and implementing and tuning machine learning models, and provide performance feedback of machine learning models.
  3. Work closely with data engineers to adapt and improve data pipelines for production models.
  4. Work closely with software engineers in putting models into production (interface, SLA, scalability)


  1. Ms in Computer Science, System Engineering or related field with 2+ years of industry experience or PhD with 1+ years of industry experience.
  2. Expert in Python, and computation graph toolkits (e.g., Scikit-learn, Tensorflow). Solid experience with Python packages such as Numpy.

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