Machine Learning Engineer - NLP

Location: San Fransisco, California, United States
We are the leading the search for a Machine Learning Engineer to join a fast growing customer support software company in San Francisco. They use machine learning to respond to customers’ messages automatically. 

Location: San Francisco office

Position Type: Full-time

Offering: Competitive pay 

Responsibilities:
  • Build machine learning pipeline from scratch - generate dataset from DB, prepare it, train and test on it
  • Train and manage ML engineer employees and interns
  • Work alongside experienced full-stack engineers and leverage their abilities 
  • Write production ready ML pipelines that scale beyond the notebook - this is not a research position, it's a get dirty and ship production position.

Preferred Qualifications & Experience:
  • Strong communication skills
  • Previous management experience 
  • Experience with software development role in production NLP projects using Python or R. 
  • Knowledge of sklearn, numpy, scipy, matplotlib, pandas, etc.. 
  • Good understanding of NLP concepts like entity recognition, syntax analysis, etc.. 
  • Good understanding of bag of words, word vectors, LSI, LDA and classifiers like logistic regression, decision trees, SVM etc.. 
  • Tensorflow or PyTorch is a nice to have, but not required. 
  • Ability to manage to expose (via HTTP for example) and deploy your ML app to the world using popular DevOps tools (Ex: docker)

We thank all applicants for your interest, however, only qualified candidates will be contacted.
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