Voodoo

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 to production monitoring. In this role, you will be leading the following topics: - Architectural Ownership: Take end-to-end ownership of highly visible projects from ideation to production release. This includes feature scoping, timeline estimation, architecture design, and benchmarking new technologies. - Pipeline Engineering: Build and maintain quality data and ML pipelines to align with ever-evolving business and machine learning needs. Optimize training pipelines for performance, memory efficiency, and cost (e.g. spot instance strategies, efficient data loading, preprocessed artifact reuse). - Data Scientists Enablement: Enable Data Scientists to iterate faster by providing reusable, well-tested pipeline components (transformers, dataloaders, training utilities) and reviewing their contributions to shared code. Extend dataset capabilities: integrating new data sources, scaling feature windows, and increasing training data volumes without breaking pipeline constraints. - Deep Learning Development: Contribute to deep learning development: GPU workload orchestration, custom PyTorch training loops, and model architecture support. - ML Lifecycle & Reproducibility: Maintain reproducibility and consistency across the ML lifecycle: versioned configs, experiment tracking, and online-offline consistency tooling. - Scalability & Reliability: Collaborate with infrastructure teams on scalability — node pools, resource monitoring, CI/CD migrations. Participate in weekly rotation to triage and resolve alerts from Airflow, dbt, and related systems. - Agile Collaboration: Thrive in a fast-paced agile environment with rapid decision-making processes. You will collaborate daily with back-end developers, data scientists, infrastructure engineers, and product managers. - Mentorship & Team Culture: You will actively contribute to our engineering culture, share knowledge, and ensure every team member feels comfortable, supported, and empowered to grow in their role. Profile We are looking for a Senior ML Engineer who deeply understands both the ML training lifecycle and the specific challenges of putting machine learning models into production at scale. - 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.) - Model Serving: Experience with model serving infrastructure (real-time or batch inference, latency/throughput optimization) is a plus - Excellent communication skills in English Our Stack Python · Scikit-learn · LightGBM · PyTorch · DBT · Spark · MLflow · Prometheus · Terraform · Airflow · Kubernetes · Amazon Web Services Benefits - Excellent benefits that will depend on the country you're based in

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 industry. Within the Data team, you’ll join the Ad-Network Team which is an autonomous squad of around 60 people. The team is composed of top-tier software engineers, infrastructure engineers, data engineers, mobile engineers, and data scientists. 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. This role can be based in Paris or Helsinki (hybrid mode). Role - You will integrate a small, high-ownership squad where you own the full lifecycle - design, implement, deploy, monitor, and iterate - with direct impact on revenue-critical systems processing millions of bid requests per second. - Lead the design and architecture of backend services that power real-time model inference and bidding decisions for our OpenRTB platform. - Collaborate with data scientists and machine learning engineers to deploy, monitor, and optimize ML models that influence real-time bidding strategies, pricing decisions, and targeting - including potentially developing proprietary models in-house. - Oversee the development of A/B testing frameworks and ensure the seamless integration of experimentation tools into our platform for continuous model and bidding optimization. - Ensure that all backend services are high-performance, low-latency, and scalable, capable of handling large data volumes (millions of bidding events per second). - Set best practices for architecture, API design, and distributed systems to ensure robust and maintainable systems at scale. - Work with the cloud infrastructure teams to ensure efficient deployment, scaling, and monitoring of backend services using Kubernetes, Docker, and CI/CD pipelines. - Work closely with product managers to define and implement new features, optimizations, and improvements to the bidding and model inference system. - Lead efforts to optimize performance and cost-efficiency across the backend infrastructure, ensuring that the system can scale effectively with increasing traffic and data. - Continuously monitor the system’s performance, perform post-deployment analysis, and make improvements based on real-world usage and A/B test results. Profile (Must Have) - 7+ years of experience in backend engineering, with a strong focus on designing and building scalable, high-performance systems. - Well-versed with machine learning and deploying models for inference in production. - Extensive experience in distributed systems, microservices, and API design using Python. - Hands-on experience with observability tools (e.g., Prometheus, Grafana) for metrics collection, log aggregation, and system monitoring. - Understanding of A/B testing concept and experience integrating them into backend systems for experimentation and optimization. - Proven ability to design, build, and manage cloud infrastructure using Kubernetes, Docker, and cloud-native tooling. Experience with other cloud providers is welcome, but AWS is preferred as it is our primary platform. - Solid experience with CI/CD pipelines, and infrastructure automation tools (e.g., Terraform). - A focus on building reliable, maintainable, and scalable systems, with experience in performance tuning and cost optimization. - Strong problem-solving skills, quality ownership and autonomy: able to take a task from design to production end-to-end - writing contract tests for upstream/downstream interfaces, verifying changes in staging, and treating CI as necessary but not sufficient. Nice to have : - Experience with OpenRTB and real-time bidding systems. - Expertise in real-time data processing and event-driven architectures (e.g., Kafka, GCP Pub/Sub, Kinesis) for building responsive, low-latency systems. - Genuine interest in understanding the full machine learning lifecycle - from modelization and training to serving and monitoring . - Experience with model serving frameworks (Triton Inference Server, TorchServe, TF Serving, Ray Serve, KServe, or similar) - deploying, configuring, and operating model servers in production. - Exposure to data science workflows and understanding how data engineers and data scientists collaborate in productionizing ML models. - Contributions to open-source projects or active involvement in technical communities related to backend engineering or machine learning. Benefits (For France) - Competitive salary upon experience - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo - Child day care facilities (Les Petits Chaperons rouges) - Wellness activities in our Paris office - Remote days

About Voodoo Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 1,000+ 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 Paper, alongside popular apps such as BeReal and Wizz. Team Our Growth team helps maximize the potential of each Voodoo product within the ecosystem. Our Growth team is split into several job expertise such as user acquisition, ad monetization, video ads, playable ads, and creative strategy. Being part of the Growth Team at Voodoo requires a lot of operational excellence and creativity in order to constantly adapt ourselves to stay ahead of the rest of the market. Our core team mission in the Playable Ads team is to create engaging and interactive advertising experiences that captivate audiences and drive conversions. We work with playable developers, coordinators, creative strategists, and AI teams to turn a game into a high-performing HTML interactive ad experience. Role We are looking for a Playable Ads AI Engineer to help create the next generation of playable ads. You will combine strong playable development skills with applied AI expertise to build, modify, and scale interactive ads more efficiently. - Convert existing games into playable ads using Unity, Cocos Creator, HTML5, JavaScript, TypeScript, or other relevant technologies - Train, fine-tune, and evaluate AI models capable of generating or modifying playable ads - Develop AI workflows to iterate on gameplay logic, UI, visuals, difficulty, pacing, and end cards - Collaborate with creative, growth, data, and engineering teams to improve production pipelines and scale playable creation - Benchmark the market, test new ideas, and develop a strong understanding of what makes a playable ad perform Profile - Strong experience in playable ads development, Unity projects, game development, or creative technology - Experience creating playable ads with Unity, Cocos Creator, HTML5, JavaScript, TypeScript, Three.js, Phaser, or similar tools - Hands-on experience with AI model training, fine-tuning, prompt engineering, AI-assisted code generation, or generative AI workflows - Good understanding of object-oriented programming, interactive ad constraints, and mobile gaming performance drivers - Creative mindset, strong problem-solving skills, and ability to bridge gameplay, technology, and AI topics - Fluent in English, both oral and written - At least 3+ years of experience in playable ads development, Unity game development, AI engineering, or a similar role - Familiarity with analytics, A/B testing, MRAID, playable packaging, or ad network specifications is a plus Benefits Competitive salary and other benefits according to the country you reside in. Full remote for candidates based abroad, with relocation to Paris subject to discussion. Hybrid for candidates based in France.

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. Within the Data team, you’ll join the BI/Prediction Team which is an autonomous squad of around 10 people. The team is composed of top-tier product managers, software & data engineers, data scientists and data analysts. Role The objective of this team is to accelerate the growth of the company by serving as the on-demand prediction provider for all Voodoo BUs. This involves addressing critical needs such as predicting campaign LTV for User Acquisition optimization, determining optimal monetization offers for millions of players or constructing confidence intervals for time series data prediction. We want to onboard a passionate senior data scientist with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success. This position is hybrid and requires 3 days per week in the office based in Paris. - Take ownership of our products modeling pipelines - Contribute to high modeling performance through insightful ideas and initiatives. - Build and deploy quickly scalable ML systems. - Engage with colleagues across the company to leverage new ideas and perspectives and demonstrate excellent communication to efficiently cooperate with product managers, teammates and stakeholders. - Deep dive into data to discover relevant insights. - Build a rich understanding of the mobile gaming industry, the company strategy, our products and their fit within the company’s daily operations. - Mentor and guide a team of data scientists, fostering technical excellence and autonomy. - Establish and enforce best practices in ML engineering, experimentation, and reproducibility across projects. - Champion a culture of impact-driven research, ensuring models not only perform well technically but also create tangible business value. - Proactively identify risks in modeling approaches, data quality, scalability, business alignment and design mitigation strategies. Profile - Extensive experience building machine learning systems - Extensive experience with Python, SQL and MLOps best practices - Cloud experience needed (ideally AWS but could be another cloud provider) - Airflow and DBT experience is a nice to have - Excellent Communication in English and French mandatory - You enjoy working in a team, learning new things, sharing knowledge - Experience in a tech startup/scaleup is a plus - Strong achievements on Kaggle will be valued Benefits - Competitive salary - Comprehensive relocation package (including visa support) - Premium healthcare (SideCare) for you and your family 100% borne by Voodoo - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Wellness activities in our Paris office - Unlimited vacation policy - Remote days - Child daycare facilities (Les Petits Chaperons rouges)

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. Within the Data team, you’ll join the BI/Prediction Team which is an autonomous squad of around 10 people. The team is composed of top-tier product managers, software & data engineers, data scientists and data analysts. ROLE The objective of this team is to accelerate the growth of the company by serving as the on-demand prediction provider for all Voodoo BUs. This involves addressing critical needs such as predicting campaign LTV for User Acquisition optimization, determining optimal monetization offers for millions of players or constructing confidence intervals for time series data prediction. We want to onboard a passionate senior data scientist with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success. This position is hybrid and requires 3 days per week in the office based in Paris. - Take ownership of our products modeling pipelines - Contribute to high modeling performance through insightful ideas and initiatives. - Build and deploy quickly scalable ML systems. - Engage with colleagues across the company to leverage new ideas and perspectives and demonstrate excellent communication to efficiently cooperate with product managers, teammates and stakeholders. - Deep dive into data to discover relevant insights. - Build a rich understanding of the mobile gaming industry, the company strategy, our products and their fit within the company’s daily operations. - Mentor and guide a team of data scientists, fostering technical excellence and autonomy. - Establish and enforce best practices in ML engineering, experimentation, and reproducibility across projects. - Champion a culture of impact-driven research, ensuring models not only perform well technically but also create tangible business value. - Proactively identify risks in modeling approaches, data quality, scalability, business alignment and design mitigation strategies. PROFILE - Extensive experience building machine learning systems - Extensive experience with Python, SQL and MLOps best practices - Cloud experience needed (ideally AWS but could be another cloud provider) - Airflow and DBT experience is a nice to have - Excellent Communication in English and French mandatory - You enjoy working in a team, learning new things, sharing knowledge - Experience in a tech startup/scaleup is a plus - Strong achievements on Kaggle will be valued BENEFITS - Competitive salary - Comprehensive relocation package (including visa support) - Premium healthcare (SideCare) for you and your family 100% borne by Voodoo - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Wellness activities in our Paris office - Unlimited vacation policy - Remote days - Child daycare facilities (Les Petits Chaperons rouges)

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. Please note that we have rotating internship opportunities available every six months, providing ongoing opportunities for new talent to join our team. TEAM Our Growth team helps maximize the potential of each Voodoo product (games, apps) within the ecosystem. The team is split into several job expertise such as user acquisition, ad monetization, video ads, playable ads, and influencer marketers. Being part of the Growth Team at Voodoo requires a lot of operational excellence and creativity in order to constantly adapt ourselves to stay ahead of the rest of the market. ROLE - AI Playable Pipeline Development: Improve and scale our AI-powered playable generation system. This includes refining AI agents, improving the structure of playable templates, and optimizing the documentation and workflow used to generate HTML playables across different games. - Playable Production: Generate, test, and iterate playable ads, ensuring they deliver clear gameplay, strong hooks, and high conversion potential while respecting technical constraints. - Creative Optimization: Analyze high-performing video creatives and translate their winning mechanics, hooks, and visual dynamics into interactive playable formats. - Performance Analysis: Monitor playable performance metrics and propose improvements based on data insights, creative experimentation, and rapid iteration cycles. PROFILE - Education: Looking for an intern available within a month with a genuine interest in Gaming, AI tools, and Digital Advertising. - Skills: Strong knowledge of HTML and basic JavaScript. Familiarity with AI-assisted workflows, automation tools, or game engines is a plus. Analytical and structured thinker with curiosity for creative systems, tooling, and process optimization. - Work Style: Comfortable experimenting, building prototypes, and iterating quickly in a fast-paced environment. Strong ownership mindset and ability to translate ideas into working prototypes. - Languages: Professional English (written and spoken). An additional language is a plus. BENEFITS - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Wellness activities in our Paris office - Remote Fridays

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. This position is fully remote within CET ±3h. TEAM Joining our Live games team means collaborating with gaming industry experts on globally renowned, enduring games while embracing exciting new entrepreneurial ventures. With over seven billion downloads worldwide and a portfolio of more than 10 resilient hybrid games generating more than $20m per year, we are the world's largest and most successful hybrid publisher. You will be joining one of our Live Studios, working on Hole.io http://Hole.io, one of Voodoo's top games. Voodoo is always looking for the next "unfair advantage." We are currently seeking an AI visionary to join our Live Studios for a high-impact, one-month mission. Your goal is to help us leverage cutting-edge technology to optimize our production at scale, ensuring our developers and artists spend less time on repetitive tasks and more time on what truly matters: making the game fun. ROLE We are looking for an AI Game Production Strategist to conduct a comprehensive audit of our development and creative workflows. Rather than just following trends, you will take a pragmatic, results-oriented approach to identify where Artificial Intelligence can concretely speed up our delivery cycles and enhance our creative output. - Audit & Identify: Analyze our current game development lifecycle—from asset creation and coding to QA and marketing—to find bottlenecks that can be solved by AI. - Strategic Roadmap: Develop a clear, prioritized plan of AI integrations (LLMs, Generative Art, Auto-testing, etc.) that offer the highest ROI for our studio. - Workflow Optimization: Design custom AI-driven workflows and tool recommendations that allow our teams to automate "busy work" without sacrificing quality. - Hands-on Prototyping: Demonstrate proof-of-concepts for AI tools that can be integrated into our Unity-based production environment. - Knowledge Transfer: Empower our senior leadership and technical teams with the knowledge to maintain and evolve these AI strategies long after your mission is complete. With this role, you will have a direct impact on the efficiency of a world-class gaming studio. Your expertise will help us cut through the noise and implement AI solutions that provide a tangible competitive edge in the casual markets. PROFILE - AI Expert: Deep, up-to-date knowledge of the AI landscape, including LLMs (GPT, Claude, local models), Generative Media (Stable Diffusion, Midjourney), and AI-driven coding assistants. - Game Dev Context: A strong understanding of the game development process (Unity/C# environment preferred) to ensure your recommendations are technically feasible. - Efficiency Obsessed: A track record of implementing AI solutions that have demonstrably reduced production time or costs in previous organizations. - Analytical & Pragmatic: Ability to distinguish between "AI hype" and tools that provide genuine utility for a fast-moving gaming studio. - Strong Communicator: Excellent English skills and the ability to explain complex AI concepts to both technical developers and creative leads. - Independent & Proactive: Experience working in short-term consultancy roles where you are expected to deliver high-quality results with minimal hand-holding. BENEFITS - Best-in-class compensation - Other benefits according to the country you reside

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 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. This role can be done on fully remote (EMEA time-zone). ROLE - You will integrate a small, high-ownership squad where you own the full lifecycle - design, implement, deploy, monitor, and iterate - with direct impact on revenue-critical systems processing millions of bid requests per second. - Lead the design and architecture of backend services that power real-time model inference and bidding decisions for our OpenRTB platform. - Collaborate with data scientists and machine learning engineers to deploy, monitor, and optimize ML models that influence real-time bidding strategies, pricing decisions, and targeting - including potentially developing proprietary models in-house. - Oversee the development of A/B testing frameworks and ensure the seamless integration of experimentation tools into our platform for continuous model and bidding optimization. - Ensure that all backend services are high-performance, low-latency, and scalable, capable of handling large data volumes (millions of bidding events per second). - Set best practices for architecture, API design, and distributed systems to ensure robust and maintainable systems at scale. - Work with the cloud infrastructure teams to ensure efficient deployment, scaling, and monitoring of backend services using Kubernetes, Docker, and CI/CD pipelines. - Work closely with product managers to define and implement new features, optimizations, and improvements to the bidding and model inference system. - Lead efforts to optimize performance and cost-efficiency across the backend infrastructure, ensuring that the system can scale effectively with increasing traffic and data. - Continuously monitor the system’s performance, perform post-deployment analysis, and make improvements based on real-world usage and A/B test results. PROFILE (MUST HAVE) - 7+ years of experience in backend engineering, with a strong focus on designing and building scalable, high-performance systems. - Well-versed with machine learning and deploying models for inference in production. - Extensive experience in distributed systems, microservices, and API design using Python. - Hands-on experience with observability tools (e.g., Prometheus, Grafana) for metrics collection, log aggregation, and system monitoring. - Understanding of A/B testing concept and experience integrating them into backend systems for experimentation and optimization. - Proven ability to design, build, and manage cloud infrastructure using Kubernetes, Docker, and cloud-native tooling. Experience with other cloud providers is welcome, but AWS is preferred as it is our primary platform. - Solid experience with CI/CD pipelines, and infrastructure automation tools (e.g., Terraform). - A focus on building reliable, maintainable, and scalable systems, with experience in performance tuning and cost optimization. - Strong problem-solving skills, quality ownership and autonomy: able to take a task from design to production end-to-end - writing contract tests for upstream/downstream interfaces, verifying changes in staging, and treating CI as necessary but not sufficient. NICE TO HAVE : - Experience with OpenRTB and real-time bidding systems. - Expertise in real-time data processing and event-driven architectures (e.g., Kafka, GCP Pub/Sub, Kinesis) for building responsive, low-latency systems. - Genuine interest in understanding the full machine learning lifecycle - from modelization and training to serving and monitoring . - Experience with model serving frameworks (Triton Inference Server, TorchServe, TF Serving, Ray Serve, KServe, or similar) - deploying, configuring, and operating model servers in production. - Exposure to data science workflows and understanding how data engineers and data scientists collaborate in productionizing ML models. - Contributions to open-source projects or active involvement in technical communities related to backend engineering or machine learning. BENEFITS (FOR FRANCE) - Competitive salary upon experience - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo - Child day care facilities (Les Petits Chaperons rouges) - Wellness activities in our Paris office - Remote days

ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 1,000+ 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 Paper, alongside popular apps such as BeReal and Wizz. TEAM Our Growth team helps maximize the potential of each Voodoo product within the ecosystem. Our Growth team is split into several job expertise such as user acquisition, ad monetization, video ads, playable ads, and creative strategy. Being part of the Growth Team at Voodoo requires a lot of operational excellence and creativity in order to constantly adapt ourselves to stay ahead of the rest of the market. Our core team mission in the Playable Ads team is to create engaging and interactive advertising experiences that captivate audiences and drive conversions. We work with playable developers, coordinators, creative strategists, and AI teams to turn a game into a high-performing HTML interactive ad experience. ROLE We are looking for a Playable Ads AI Engineer to help create the next generation of playable ads. You will combine strong playable development skills with applied AI expertise to build, modify, and scale interactive ads more efficiently. - Convert existing games into playable ads using Unity, Cocos Creator, HTML5, JavaScript, TypeScript, or other relevant technologies - Train, fine-tune, and evaluate AI models capable of generating or modifying playable ads - Develop AI workflows to iterate on gameplay logic, UI, visuals, difficulty, pacing, and end cards - Collaborate with creative, growth, data, and engineering teams to improve production pipelines and scale playable creation - Benchmark the market, test new ideas, and develop a strong understanding of what makes a playable ad perform PROFILE - Strong experience in playable ads development, Unity projects, game development, or creative technology - Experience creating playable ads with Unity, Cocos Creator, HTML5, JavaScript, TypeScript, Three.js, Phaser, or similar tools - Hands-on experience with AI model training, fine-tuning, prompt engineering, AI-assisted code generation, or generative AI workflows - Good understanding of object-oriented programming, interactive ad constraints, and mobile gaming performance drivers - Creative mindset, strong problem-solving skills, and ability to bridge gameplay, technology, and AI topics - Fluent in English, both oral and written - At least 3+ years of experience in playable ads development, Unity game development, AI engineering, or a similar role - Familiarity with analytics, A/B testing, MRAID, playable packaging, or ad network specifications is a plus BENEFITS Competitive salary and other benefits according to the country you reside in.