www.acad.jobs : academic jobs worldwide – and the best jobs in industry
                
     
Position: Machine Learning Engineer
Institution: Adobe Inc.
Location: San Jose, California, United States
Duties: Develop predictive models (CV and/or NLP) trained on large-scale datasets to address various business problems with sophisticated machine learning techniques; Develop and implement scalable and efficient ML models that can work with large-scale data in production systems running on mobile devices with limited memory and compute; Collaborate with product management and engineering groups to develop new products and features
Requirements: Currently enrolled full time and pursuing a PhD or MS degree in in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required; Deep understanding of machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods; Proficient in one or more programming languages such as Python, Java, Objective C or C++
   
Text: Machine Learning Engineer Develop predictive models (CV and/or NLP) trained on large-scale datasets to address various business problems with sophisticated machine learning techniques; Develop and implement scalable and efficient ML models that can work with large-scale data in production systems running on mobile devices with limited memory and compute; Collaborate with product management and engineering groups to develop new products and features Currently enrolled full time and pursuing a PhD or MS degree in in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required; Deep understanding of machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods; Proficient in one or more programming languages such as Python, Java, Objective C or C++
Please click here, if the job didn't load correctly.







Please wait. You are being redirected to the job in 3 seconds.