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Machine Learning Engineer

About Cere Network

Cere Network is the first blockchain CRM ecosystem platform optimized for service data integration and data collaboration. Our blockchain innovations have been built in alignment with blockchain platform Polkadot to bring clusters of enterprise-focused interoperable networks and solutions into the substantial blockchain ecosystem.

Cere’s Decentralized Data Cloud (DDC) is designed from the ground up to ​address today's enterprise need for individual user data encryption and privacy compliance while simplifying the customization and integration with today's intelligent (AI) data-driven personalization solutions.

Join us on this new, open approach that unlocks the vast potential of on-demand data marketplaces compared to traditional proprietary and closed systems.

About the role

As a Machine Learning Engineer at Cere, you will be responsible for machine learning model development, data engineering guidance and data architecture input. One of the Cere platform's critical goals is to increase the engagement and revenue for our partners. We provide almost a no-code solution to build Campaigns, Smart Offers, and Rewards to increase users' loyalty. You will be expected to help our customers understand their data, campaign effectiveness and recommend ways to improve.


  • \3-5 yrs experience data science
  • Superior knowledge of data cleansing/feature engineering
  • Superior knowledge of python and related ML packages
  • General understanding of networking and containers
  • Great problem solving skills and communication
  • Git/jira experience
  • Nice to have:
  • Ability to design and implement streaming ML architectures
  • Ability to connect feature stores to ML application
  • Ray/Anyscale experience
  • Spark experience
  • Online training and production implementation experience


You’ll be joining a fantastic, multinational team that was gathered by Silicon Valley veterans with 20 years of experience from Amazon, Twitch, D-Link, and Bebo.

We have a supportive culture that cares about both excellent work and work-life balance. You will begin by learning from the experiences of our current team. Our Lead Engineers and HR managers will assist you with the onboarding process and work with you every step of the way.

  • Flexible working hours
  • Remote work if desired
  • Investment in career growth and training
  • Performance reviews every 6 months
  • Bonuses for reaching individual/team goals
  • Paid sick leave
Apply Now