Senior Machine Learning Engineer, Platform
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The role
Lead the design, development, and deployment of scalable machine learning infrastructure across the platform, integrating diverse data sources including blockchain.
Develop production-ready models (LLMs, GNNs, deep learning) to address fraud detection, feed ranking, recommendations, chatbots, and risk assessment.
Build robust backend systems for data processing and analytics; create onboarding tools and codelabs to democratize ML access.
Collaborate with cross-functional teams to ensure speed, reliability, and compliance; emphasize interpretability and responsible AI.
Own the end-to-end ML lifecycle from data ingestion to monitoring, with a focus on maintainability and low maintenance overhead.
Communicate clearly, stay curious, bring positive energy, and act as a builder who tackles hard problems at scale.
Develop production-ready models (LLMs, GNNs, deep learning) to address fraud detection, feed ranking, recommendations, chatbots, and risk assessment.
Build robust backend systems for data processing and analytics; create onboarding tools and codelabs to democratize ML access.
Collaborate with cross-functional teams to ensure speed, reliability, and compliance; emphasize interpretability and responsible AI.
Own the end-to-end ML lifecycle from data ingestion to monitoring, with a focus on maintainability and low maintenance overhead.
Communicate clearly, stay curious, bring positive energy, and act as a builder who tackles hard problems at scale.
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