מחקר

Senior Machine Learning Engineer

117296

תאריך עדכון

24/06/2020

תיאור המשרה

 Key Responsibilities
    • Work independently and collaborate with others on the Data Science team to solve a wide variety of challenging business and product needs with innovative data science techniques
    • Analyze and gain an understanding of the available data sources and their potential to address needs
    • Collaborate with Product Management, Engineering and DevOps teams to build and deliver high quality, oftentimes deployed solutions
    • Collaborate with data collection teams to specify criteria for the creation of training and testing datasets
 
Basic Qualifications
    • Master’s or Ph.D. degree in Math, Statistics, Computer Science, Machine Learning, Computational Linguistics, Engineering, or a related field
    • 5+ years’ experience developing supervised and unsupervised statistical/machine learning models utilizing both regression and classification techniques such as GLM, CART, Random Forest, GBM, XGBoost, Naive Bayes, SVMs, ANN, CNN, etc.
    • Fluent in Python (most preferred), R or similar scripting language
    • Experience building models deployed in a production system face=Arial size=2>
 
Preferred Qualifications
    • Experience with text data and associated best practices for feature engineering/embedding as well as common NLP resources such as: ELMo, GloVe, spaCy, Apache OpenNLP, Stanford CoreNLP, NLTK, WordNet, etc. face=Arial size=2>
    • Fluency in Java or other object-oriented programming languages
    • Technical fluency; comfort understanding and discussing algorithms and their tradeoffs to both experts and non-experts
    • Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form
    • Ability to adapt in a fast-paced, dynamic environment
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