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← All postings · May 2021 thread

ZEMANTA, an Outbrain company

Data Scientist - Analytics

CompanyZEMANTA, an Outbrain company
Websitezemanta.com
Roles
  • Data Scientist - Analytics
  • Data Scientist
  • Machine Learning Engineer
Typefull-time
Role taxonomyData / AnalyticsAI / ML / Research
SpecialtiesData Science, Machine Learning
Locationmode · Hybrid
Salary
Apply viaApplication linkhttps://apply.workable.com/zemanta/j/7FC8EAA4C9/ · jobs@zemanta.com
Hiring notes
TechPythonAWSML/AI
Parsed locationsmode
Posted byklza689
PostedMay 4, 2021
SourceView on Hacker News ↗

Original posting

ZEMANTA, an Outbrain company | Data Scientist - Analytics & Data Scientist & Machine Learning Engineer | Ljubljana, Slovenia | hybrid mode | full-time | https://www.zemanta.com/ Our Data Science team is looking for a: 1. versatile machine learning engineer / data scientist to help us grow our real-time bidding (RTB) ad management services across Outbrain and Zemanta infrastructure; https://apply.workable.com/zemanta/j/7FC8EAA4C9/ 2. Data Scientist with data analytics / BI experience and a software engineering passion. This position is at an intersection between engineering and data analysis; https://apply.workable.com/zemanta/j/ACC7EEC678/ Here's what we're working with: - over 250 million machine learning predictions calculated every second - ML models you ship to production have an immediate effect on the business - we don't keep cutting-edge ML and deep learning algorithms in the drawer - we deploy them to production - terabytes of data generated daily, stored on S3 and BigQuery multi-cloud environment - AWS, GCS, private cloud - Go-lang is our main production language, python for offline research - production ML algos developed in-house in either Go-lang or TensorFlow - in-house distributed AutoML framework for effective offline research - powerful research cluster for your use - full ownership of the ML-powered features we develop from idea to final product - a lot of learning; both internally (knowledge sharing initiatives) and externally (going to the best conferences, reading papers, watching talks) - sharing knowledge externally (talk at conferences and meet-ups, mentor students at DataScience@UL-FRI, Zemanta Data Science Summer School, ...) - be a part of a world-class data science and software engineering organization Do you have questions? Write us at jobs@zemanta.com