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.

Strong proficiency in Python and TensorFlow for building ML models
Comfortable reading Go to navigate our online serving services
Ownership Mindset: adaptable and thrive when given the autonomy to take a project from early-stage experimentation all the way through to production
AI-Forward: genuine curiosity about the evolution of AI and enthusiastic about leveraging AI coding tools to optimize your engineering workflows

Depth in reinforcement learning, control engineering, mathematical optimisation, and causal inference
Pragmatic view about what 'ML' means; feature pipelines, online serving, and monitoring are part of the job

Unlimited vacation days - for real. We give you the freedom to figure out the most productive work-life balance for you
A truly modern place to work: work from home, from our brand new office in Berlin, or remotely - your work environment is yours to design
Generous remuneration package including virtual shares, a dedicated education budget
End of the year bonus determined by company performance
Enrol in our Short Term Assignment (STA) program and travel to our offices around the globe for up to a month - subject to eligibility and internal policy
Comfortable work setup - laptop, phone, screen(s), standing desk etc.
Support for your setup while working from home
Wellness benefits such as sports memberships, Nilo Health subscription and internet reimbursements
Company events including breakfast twice a week, team lunches, birthday and milestone celebrations, quarterly team events and company-wide parties & trips

Hybrid — Berlin, New York, Singapore, Seoul, Tokyo

Equal Opportunity Employer: all qualified applicants are considered for positions regardless of race, ethnic origin, gender, age, religion or belief, marital status, gender identification, sexual orientation, veteran status or disability.
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Remerge is hiring a Machine Learning Engineer