Machine Learning Engineer

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. The ideal candidate has a strong backend engineering background and proven experience designing, deploying, and maintaining high-throughput machine learning architectures using Python.

Responsibilities: 

• 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.

Requirements: 

• 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.
• Big Advantage: Real-world production experience with personalization architectures, recommendation systems, or Reinforcement Learning models.

What does it mean to work at Playtika?   

You’ll join a team of leaders in the field, and enjoy amazing benefits, some are listed below:   

• A competitive salary and performance-based bonuses;   
• Hybrid working mode: Three days from our office, located in the heart of Warsaw (Browary Warszawskie), and three 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.

Come play with us!