Senior ML Engineer

Paris

Full Time Senior-level / Expert EUR 93K - 174K * ^est.

Voodoo

We entertain the world with iconic apps and games.

View all jobs at Voodoo

Apply now Apply later

Posted 4 hours ago

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 industry. Within the Data team, you’ll join the Ad-Network Team which is an autonomous squad of around 30 people. The team is composed of top-tier software engineers, infrastructure engineers, data engineers, mobile engineers, and data scientists (among which 3 Kaggle Masters). The goal of this team is to provide a way for Voodoo to monetize our inventory directly with advertising partners, and relies on advanced technological solutions to optimize advertising in a real-time bidding environment. It is a strategic topic with significant impact on the business.

Role

Develop and maintain a CI/CD framework for model training, validation, and deployment;
Design and architect scalable, reliable, and maintainable ML systems, incorporating A/B testing for continuous improvement;
Optimize ML models for production, ensuring high throughput, low latency, and cost efficiency while maintaining system resilience;
Implement robust monitoring for model performance, accuracy, and latency, proactively tracking concept drift and data drift using monitoring tools;
Work in a fast-paced, agile environment, collaborating closely with teams across back-end development, data science, mobile games, large-scale mobile apps, product, and marketing to drive impactful ML solutions.

Profile (must have)

5/6+ years of experience as a Data Engineer or another similar role (excluding internships)
ML Model Deployment at Scale: Experience with ML inference at high RPS
CI/CD for ML: Automating model training, testing, deployment workflows
Monitoring & Observability: Both infra and model performance
Strong Python Skills: For scripting and ML pipeline orchestration
Optimization for Low-Latency Inference: Quantization, model distillation, or hardware acceleration

Nice to have

ML Framework: AWS SageMaker, Lambda for serverless ML, or custom model servers
Experience with Ad Tech: Realtime Bidding Systems: Understanding latency constraints in RTB environments
Advanced ML Workflows: Feature stores, model versioning, and A/B testing for ML models
GRPC for ML APIs: Efficient communication between microservices
Infrastructure as Code: K8S (custom operators, Helm), Terraform for AWS resources