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Machine Learning Engineer

Company Name: Samsung NEXT Start
Location: San Francisco, CA
Date Posted: 05th Dec, 2017
Description:

Responsibilities -

  • Define and implement innovative algorithms for extracting semantic information (e.g. politeness, autonomy, intent) from messages
  • Model the collaboration patterns of teams, identifying predictive signals within daily digital conversations to improve employee satisfaction and improve retention
  • Design and build scalable systems to train, test, and run your models on real user data
  • Implement API’s to expose statistics to user-facing systems, including the website and mobile apps
  • Be an influential voice on a small, rapidly innovating team building a next generation product
  • Set strategic vision and deal with the complexities of an evolving machine learning stack (e.g. data storage, feature engineering, deployment of models)
Qualification:

QUALIFICATIONS:

  • MS or PhD in Computer Science or related quantitative disciplines.
  • Proficient in Python and SQL, with strong computer science fundamentals (algorithms and data structures). Capable of writing high performance, scalable, production level code.
  • Knowledge of NLP and the semantic interpretation of messages: entity extraction, knowledge graph creation, text classification, and topic modeling.
  • Deep understanding of machine learning techniques, including supervised and unsupervised algorithms, clustering, graph analytics, and time series analysis. Experience with data science toolkits such as numpy, pandas, scikit-learn, tensorflow, etc.
  • Experience with distributed machine learning frameworks (e.g. Spark, GraphX) a plus.
  • Thrives in a fast-moving startup environment, has strong communication skills and is excited about the opportunity to influence product development and roadmapping.