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Machine Learning Engineer
Job Order #14390
San Francisco, California - Added Apr 21, 2018

Full Description:

Are you the person that loves to problem solve and looks at technology from the mathematical/statistical stand point? Then know that you have found the job for you!

So what is it that you will be doing?!

• Research and build mathematical models to solve pressing questions in the VMS space
• Execute on research results to deploy production solutions
• Help mentor a diverse team of engineers in Machine Learning techniques, tools, and concepts
• Work with architecture and development to lay out technology vision for current and future product offerings

• Experience in machine learning and Large-Scale Data Mining
• Experience and understanding of machine learning techniques
• Deep understanding of statistics and probability
• Proficiency with Python, R, and SQL
• Proficiency with Python.and Experience with deep learning frameworks such as TensorFlow, Theano, Keras, Pandas, NumPy, scikit-learn
• Excellent understanding of algorithms and data structures for optimization
• Comfort in a distributed, containerized environment
• Spark, Kafka, MAPR are going to be preferred skills

• Must be an outstanding communicator and team player who demonstrates attention to detail, and who also understands how to ensure finance initiatives that support the long-term strategy of the business
• High-energy, can-do attitude; comfortable working in a high-performance, entrepreneurial, open-door environment
• Outstanding executive presence and presentation skills
• Strong leadership, analytical, and problem-solving skills
• Maturity and skill in working with senior executives, customers, and sales teams to align on goals and work through business challenges
• Master Degree in Machine Learning, Data Mining, Statistical Inference, Mathematical modeling or similar fields with 5 years of relevant experience or Ph.D degree in Computer Science or related quantitative field

Are you available? Please send your most current resume to Jessica at and reference JO# 14390

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