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ML/Natural Language Processing Engineer



About us

VC-backed start-up company created in February 2019 with the goal of revolutionizing the way professional relationships are managed. Distributed “remote-first” company currently with offices in San-Francisco and Belgrade. We are focused on product-market fit with fast development cycles and constant user feedback.

Venture backed San-Francisco based start-up currently in stealth mode is looking for:

ML/Natural Language Processing Engineer


At AutomaticCRM, a ML/NLP engineer will use state of the art natural language parsing and machine learning techniques to extract actionable data from email and other user communications.

Basic Qualifications

  • Self-motivated, eager to learn and research; driven to find the best solutions on their own using exploration and experimentation
  • Strong analytical mindset, able to break problems down, clearly diagnose issues and present clear options
  • BA/BS Degree in Computer Science or Machine Learning, Statistics, or a related technical discipline
  • 6+ years experience in software design, development, and algorithm related solutions
  • 6+ years experience programming experience in Python, Go or TypeScript
  • 6+ years experience using SQL to extract data and answer business questions
  • Experience developing leveraging cloud infrastructure such as AWS or GCP
  • Experience with modern software development practices like git, code reviews, continuous automation and continuous delivery
  • Experience developing and designing consumer-facing data intensive products


  • Develop tools to extract structured content, classify documents, and establish sentiment out of emails and interpersonal communications
  • Devise methods for de-identifying text content to preserve users’ privacy during annotations
  • Develop services that plug into the AutomaticCRM data ingestion pipeline to efficiently process text data at large scale
  • Devise strategies for data labeling, data management, accumulation of training and test data sets
  • Develop production ready-systems hosted in the cloud
  • Leverage tools available by cloud service providers to create, validate, refine and operate models


  • Expert in NLP tools and libraries including, but not limited to, NLTK and Spacy
  • Expert at using deep learning techniques to solve natural language parsing problems
  • Very comfortable surveying research and evaluating multiple techniques to identify the optimal solution
  • Experience deploying ML systems in production cloud environments at large scale
  • Expert at Python and leading Python machine learning libraries
  • Hands on experience with RedShift and Map Reduce
  • Develop tools for assessing quality and coverage metrics of data sources
  • Expert at SQL for import, query and transformation
  • Experience with data visualization and dashboarding tools such as Mode Analytics

What we offer:

  • Work environment that will help you grow and learn
  • Using cutting edge technologies and techniques to solve problems that were not previously solved
  • Competitive salaries
  • Equity
  • Latest and greatest hardware and software tools
  • Fun and inclusive atmosphere with high-performing colleagues

Deadline for applications: 13.07.2019.

Job listing has expired.
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