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Senior Machine Learning Engineer - Remote

Posted 6 days ago
Software Development
Full Time
Worldwide

Overview

Nory is on a mission to help the hospitality industry double their profitability, reduce their carbon footprint, and create better working environments for their teams through an all-knowing restaurant management system that combines real-time data with AI predictive analytics.

In Short

  • Own the end-to-end development of machine learning systems.
  • Collaborate with product managers and engineers to define KPIs.
  • Apply best-in-class ML practices for real-world impact.
  • Lead the development of models across the platform.
  • Work autonomously while contributing to a collaborative culture.
  • Participate in peer reviews and team rituals.

Requirements

  • Master's Degree or higher in a STEM subject with a statistics component.
  • 3-5 years of experience in ML systems from idea to production.
  • Strong Python and experience with ML libraries (e.g., Scikitlearn, Pandas, LightGBM).
  • Structured thinking with a clear process for ML problems.
  • Rigorous statistical and experimental thinking.
  • Thrives in collaborative environments and clear communication.
  • Startup mindset with comfort in fast-paced environments.

Benefits

  • Competitive Salary.
  • Equity at Series A valuation.
  • 35 days of paid leave per year.
  • Comprehensive private health insurance.
  • Enhanced parental leave and support.
  • Learning & development budget.
  • Home office workspace budget.
  • Regular team offsites & socials.
  • And much more.
Nory logo

Nory

Nory is an innovative company focused on building a data-first culture to drive growth and enhance customer experiences. With a small, dynamic team based in Dublin, Ireland, Nory is dedicated to developing cutting-edge products and solutions that leverage data and AI technologies. The company values collaboration, research, and a customer-first approach, fostering an environment where team members can learn and grow together. Nory offers a flexible working culture, competitive benefits, and opportunities for personal development, aiming to create a world-class product through diverse skill sets and experiences.

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