Senior ML Engineer, Recommendation Systems
3 semanas atrás
WHO ARE WE As The Discovery and Conversion Company our mission is to connect consumers with the worlds leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries weve built a high-growth high-performance culture where speed ownership and measurable impact drive success. WHY JOIN US At Launch Potato youll accelerate your career by owning outcomes moving fast and driving impact with a global team of high-performers. We convert audience attention into action through data machine learning and continuous optimization. Were hiring a Machine Learning Engineer (Recommendation Systems) to build the personalization engine behind our portfolio of brands. Youll design deploy and scale ML systems that power real-time recommendations across millions of user journeys. This role gives you the chance to work on systems serving 100M predictions daily directly impacting engagement retention and revenue at scale. MUST HAVE Youve shipped large-scale ML systems into production that power personalization at scale. Youre fluent in ranking algorithms and know how to turn data into engagement and conversions. Specifically: 5 years building and scaling production ML systems with measurable business impact Strong background in ranking algorithms (collaborative filtering learning-to-rank deep learning) Proficiency with Python and ML frameworks (TensorFlow or PyTorch) Skilled with SQL and modern data warehouses (Snowflake BigQuery Redshift) plus data lakes Familiarity with distributed computing (Spark Ray) and LLM/AI Agent frameworks Track record of improving business KPIs via ML-powered personalization Experience with A/B testing platforms and experiment logging best practices YOUR ROLE Your mission: Drive business growth by building and optimizing the recommendation systems that personalize experience for millions of users daily. Youll own the modeling feature engineering data pipelines and experimentation that make personalization smarter faster and more impactful. OUTCOMES Build and deploy ML models serving 100M predictions per day to personalize user experiences at scale Enhance data processing pipelines (Spark Beam Dask) with efficiency and reliability improvements Design ranking algorithms that balance relevance diversity and revenue Deliver real-time personalization with latency
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Curitiba, Brasil Launch Potato Tempo inteiroWHO ARE WEAs The Discovery and Conversion Company our mission is to connect consumers with the worlds leading brands through data-driven content and technology.Headquartered in South Florida with a remote-first team spanning over 15 countries weve built a high-growth high-performance culture where speed ownership and measurable impact drive success.WHY JOIN...
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Curitiba, Brasil Canonical Tempo inteiroDistributed Systems Software Engineer, Python / GoJoin to apply for the Distributed Systems Software Engineer, Python / Go role at CanonicalContinue with Google Continue with GoogleDistributed Systems Software Engineer, Python / Go3 months ago Be among the first 25 applicantsJoin to apply for the Distributed Systems Software Engineer, Python / Go role at...
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