Your responsibilities, Build, train, evaluate, and improve ML models powering personalized workout and content recommendations., Develop and maintain AI/ML pipelines using Python, Spark, Airflow, AWS, and S3., Research and apply modern machine learning techniques for recommender systems, content discovery, and engagement optimization., Productionize, deploy, monitor, and optimize ML models and recommendation services., Support the evolution of recommendation systems toward unified rankers, candidate generation, and real-time model serving., Run A/B tests and analyze experiment results with Product Analysts to measure product and user impact., Collaborate with ML Engineers, Software Engineers, Platform Engineers, Product Managers, and Product Analysts to test and launch new personalization ideas., Work with platform and data teams to use internal infrastructure, data sources, and tools required to scale ML solutions. What we offer, 100% paid medical care, Multisport, Creative tax (KUP), Home office allowance, MacBook Pro

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Machine Learning Engineer