Voodoo
mobile games and apps
SeniorMLEngineer-OfflineTeam
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“Senior ML Engineer - Offline Team at Voodoo. Skills: ML training infrastructure, Data preprocessing, Model deployment, Production monitoring, Pipeline Engineering, Deep Learning Development, ML Lifecycle & Reproducibility, Scalability & Reliability, Python, Scikit-learn, LightGBM, PyTorch, Amazon Web Services. Architectural Ownership. Pipeline Engineering”
Industry & Context.
Problem framing; Benchmarking new technologies; Triage and resolve alerts
What They're Looking For.
Must Have
5+ years minimum of experience as an ML Engineer or a similar role, End-to-End ML Ownership: Problem framing, baselines, experimentation, deployment, and iteration, Python Proficiency: Extensive knowledge for ML pipeline code: preprocessing, training/evaluation workflows, experiment utilities, and reproducible configs, Training Mechanics: Comfortable implementing training mechanics where needed (custom steps/metrics, dataloading patterns, performance-conscious preprocessing), not only notebook-level prototyping, ML Frameworks: Practical experience training and evaluating models with scikit-learn, LightGBM, PyTorch for deep learning, Performance Optimization: Experience optimizing memory usage during data preprocessing and model training, Experiment Management: Hyperparameter tuning, experiment tracking, and reproducible training (configs, seeds, versioning), Cloud & Infrastructure: Experience with Amazon Web Services. Familiarity with scalability, reliability, and security topics, ML Production Awareness: Understanding of the challenges involved in running ML models in production (familiar with topics such as feature store, training-serving skew, etc. )
Nice to Have
Model Serving: Experience with model serving infrastructure (real-time or batch inference, latency/throughput optimization) is a plus
What You'll Do.
Architectural Ownership
Data Scientists Enablement
Deep Learning Development
ML Lifecycle & Reproducibility
Scalability & Reliability
Mentorship & Team Culture
How You'll Work.
Team & Collaboration
Collaborate with infrastructure teams on scalability; Collaborate daily with back-end developers, data scientists, infrastructure engineers, and product managers
Communication Scope
Excellent communication skills in English
Process & Methodology
Feature scoping, Timeline estimation, Architecture design, Benchmarking new technologies
Full Job Description
ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. The Voodoo Ad-Network is an autonomous product group of around 60 highly driven professionals with an ambitious mission: building top-tier ad network services. Our primary goal is to leverage Voodoo's massive first-party data ecosystem to optimize and scale monetization. We are in a rapid growth phase, expanding into new ventures such as opening to external inventory, penetrating the external advertiser market, and driving social network monetization following our recent acquisition of BeReal. To support this incredible trajectory and promising early results, we are scaling our team. The Models team is a core element of the targeting performance. It leverages machine learning and a strong business understanding to directly impact the product's financial performance. It's composed of mostly senior Data Analysts, Analytics Engineers, Data Engineers and Data Scientists/ML Engineers that iterate together on finding and building the next performing iteration. This role can be either Paris or Helsinki based and done in a hybrid setup. ROLE We're looking for a Senior ML Engineer to join our Models team. You will be joining a dedicated squad of Data Engineers, Data Scientists, and ML Engineers focused on building and maintaining the ML training infrastructure that powers our ad-targeting models from data preprocessing through model deployment
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