Your responsibilities, Build, train, evaluate, and improve ML models powering personalized workout and content recommendations., Develop and maintain data and ML pipelines using Python, Spark, Airflow, AWS, and S3., Productionize, deploy, monitor, and optimize ML models and recommendation services., Improve real-time model serving, including latency, scalability, reliability, and infrastructure costs., Support the evolution of recommendation systems toward unified rankers, candidate generation, and inference services., Run A/B tests and analyze experiment results with Product Analysts to measure product and member impact., Contribute to IQ initiatives, including personalized plans, insights, LLM-based features, and responsible AI practices., Collaborate with ML Engineers, Data Engineers, Software Engineers, Platform Engineers, Product Managers, and Analysts to deliver scalable personalization features. What we offer, 100% paid medical care, Multisport, Creative tax (KUP), Home office allowance, MacBook Pro

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Senior Machine Learning Engineer