Machine learning engineer for personalization systems

At Playtika, we create mobile games enjoyed by millions worldwide. Combining the scale of a public company (NASDAQ: PLTK) with the speed and ownership of a startup, we are a global leader where innovation, data, and creativity shape the future of entertainment. Playtika is looking for a Senior Machine Learning Engineer to join our team and build efficient, data-driven AI systems that power our core personalization infrastructure.

• Design, build, and maintain large-scale ML serving architectures for real-time personalization or other AI systems, impacting millions of users.
• Transform complex data science prototypes into resilient, production-ready infrastructure, and integrate algorithms and GenAI models into production environments.
• Develop robust streaming pipelines to support continuous model inference and training workflows.
• Develop and maintain AI agents and internal tooling to empower AI-driven development workflows and modern workspaces.
• Implement end-to-end observability, tracing, and alerting for production ML systems.
• Collaborate closely with data scientists, product managers, architects, and cross-functional engineering teams.
• Stay up to date with machine learning, serving frameworks, and GenAI developments across the industry.

• BSc or MSc in Computer Science, Engineering, or a related technical field.
• 5+ years of experience as an ML Engineer, Backend Engineer, or similar, with a track record of delivering scalable production solutions.
• High proficiency in Python and modern API development (FastAPI, Pydantic).
• Hands-on experience with streaming and data processing workloads (Apache Kafka, PySpark, Airflow/MLflow/Kubeflow).
• Experience deploying containerized applications (Docker, Kubernetes) and utilizing model serving frameworks.
• A highly self-driven autodidact who is passionate about adopting innovative technologies.
• A team player who thrives in strategic projects, actively participates in decision-making, and collaborates effectively with business and technical functions.
• Будет плюсом: Real-world production experience with personalization architectures, recommendation systems, or Reinforcement Learning models

• A competitive salary and performance-based bonuses;
• Hybrid working mode: Three days from our office, located in the heart of Warsaw (Browary Warszawskie), and two days from anywhere, per week
• All you can eat! Breakfasts, lunches, desserts, snacks and much more in our Playtika-only cafeteria
• Access to PlaytiCafe where all of your coffee (and other refreshments) dreams come true;
• Six “Power Up” long weekends for all, and additional day off for your birthday month;
• Private medical healthcare and three additional sick leave days;
• A wellness program in the office: yoga classes, massage chairs and zerobody room;
• Gaming room with a variety of activities;
• Flexible working hours and monthly happy hours;
• Work permit assistance for employees;
• Corporate celebrations, team buildings, and fun activities.