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RemergeEngineering

Machine Learning Engineer

Remote (Global)Posted today

Remerge is a leading app retargeting company helping mobile app marketers increase revenue and retention through programmatic in-app ads. They are looking for a Machine Learning Engineer to develop high-performance ML models and optimize bidding algorithms in a real-time adtech environment.

Location: Remote (Global)

Responsibilities

  • Develop & Scale ML Models: Build, train, and deploy high-performance machine learning prediction models optimized for real-time adtech environments.
  • Own the Full ML Path: Take models from raw data and feature definitions through training, evaluation, and online serving. Feature engineering and online/offline consistency matter as much as modelling skill.
  • Optimize the Bidding Engine: Design and refine complex bidding algorithms, orchestrating how multiple models interact together in milliseconds to make optimal final bidding decisions.
  • Run & Analyze Experiments: Design, execute, and evaluate both offline simulations and online A/B tests to measure and analyze algorithmic impact on core business metrics.
  • Collaborate Cross-Functionally: Step outside the traditional ML silo to collaborate with engineering and product partners, adapting quickly to diverse technical challenges.
  • Augment Your Workflow: Actively integrate new AI tools and coding agents into your daily process to maximize throughput, experiment velocity, and code quality.

Requirements

  • Strong proficiency in Python and TensorFlow for building ML models.
  • Comfortable reading Go to navigate online serving services.
  • Interest or experience in reinforcement learning, control engineering, mathematical optimization, or causal inference.
  • Data-driven approach to problem-solving and pragmatic use of models.
  • Ownership mindset with ability to take projects from experimentation to production.
  • Curiosity about AI evolution and enthusiasm for AI coding tools.

Benefits

  • Unlimited vacation days.
  • Work from home, office in Berlin, or remote work environment.
  • Generous remuneration including virtual shares and education budget.
  • Year-end bonus based on company performance.
  • Opportunity to travel to global offices through Short Term Assignment program.
  • Support for home office setup.
  • Wellness benefits such as sports memberships and internet reimbursements.
  • Company events including team lunches, celebrations, and trips.

Additional Information

  • Remerge is an Equal Opportunity Employer.
  • Beware of scams and verify job offers through official channels.
  • Only official job openings are listed on remerge.io/careers.
  • Review the Applicants Privacy Policy.

Location

Remote (Global)

Category

Engineering

Company

Remerge

Source

himalayas

Posted

today

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