{"id":508371,"url":"https://alion.io/job/playtika-machine-learning-engineer-2","title":"Machine Learning Engineer","company":{"id":49160,"name":"Playtika","domain":"playtika.com","url":"https://alion.io/company/playtika","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":92,"open_postings":12,"ghost_share":0,"stale_share":0.083,"repost_share":0.083,"time_to_fill_p50_days":63,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":67000,"max_usd":112000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Pydantic","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-07T10:15:11Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-29T01:44:56Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":50},"description":"Ambition Needs a Place to Grow.\nAt Playtika, we create mobile games enjoyed by millions worldwide.\nCombining 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.\nHere, your ideas matter, your decisions impact products, and your growth is supported across global studios.\nBring your hunger where it belongs: at the front of the pack.\n\nPlaytika 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.\nResponsibilities: \nDesign, build, and maintain large-scale ML serving architectures for real-time personalization or other AI systems, impacting millions of users.\nTransform complex data science prototypes into resilient, production-ready infrastructure, and integrate algorithms and GenAI models into production environments.\nDevelop robust streaming pipelines to support continuous model inference and training workflows.\nDevelop and maintain AI agents and internal tooling to empower AI-driven development workflows and modern workspaces.\nImplement end-to-end observability, tracing, and alerting for production ML systems.\nCollaborate closely with data scientists, product managers, architects, and cross-functional engineering teams.\nStay up to date with machine learning, serving frameworks, and GenAI developments across the industry.\nRequirements: \nBSc or MSc in Computer Science, Engineering, or a related technical field.\n5+ years of experience as an ML Engineer, Backend Engineer, or similar, with a track record of delivering scalable production solutions.\nHigh proficiency in Python and modern API development (FastAPI, Pydantic).\nHands-on experience with streaming and data processing workloads (Apache Kafka, PySpark, Airflow/MLflow/Kubeflow).\nExperience deploying containerized applications (Docker, Kubernetes) and utilizing model serving frameworks.\nA highly self-driven autodidact who is passionate about adopting innovative technologies.\nA team player who thrives in strategic projects, actively participates in decision-making, and collaborates effectively with business and technical functions.\nBig Advantage: Real-world production experience with personalization architectures, recommendation systems, or Reinforcement Learning models.\nWhat does it mean to work at Playtika? \nYou’ll join a team of leaders in the field, and enjoy amazing benefits, some are listed below: \nA competitive salary and performance-based bonuses; \nHybrid working mode: Three days from our office, located in the heart of Warsaw (Browary Warszawskie), and two days from anywhere, per week \nAll you can eat! Breakfasts, lunches, desserts, snacks and much more in our Playtika-only cafeteria \nAccess to PlaytiCafe where all of your coffee (and other refreshments) dreams come true; \nSix “Power Up” long weekends for all, and additional day off for your birthday month; \nPrivate medical healthcare and three additional sick leave days; \nA wellness program in the office: yoga classes, massage chairs and zerobody room; \nGaming room with a variety of activities; \nFlexible working hours and monthly happy hours; \nWork permit assistance for employees; \nCorporate celebrations, team buildings, and fun activities.\nCome play with us! \n\nSubject to applicable laws, we may use artificial intelligence (AI) tools to assist our recruitment teams in the hiring process, including drafting job descriptions, communication, response to applications, assessments and tests, as further described in our Candidates Privacy Notice.\nBy applying to this job, you acknowledge that you have read and understood our Candidates Privacy Notice, including with respect to the use of AI tools, and consent to the processing of your information as described therein.\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. \nIf you feel the above describes you perfectly - Apply now! \nEmployee at Playtika? 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