Senior Machine Learning Engineer, Risk AI/ML
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The role
Own a core risk domain (e.g., scams or account takeover) and design, build, and lead the strategy for all models in that domain.
Architect and design risk detection systems, from feature pipelines to high-performance model serving (Graph Neural Networks, LSTMs, LLMs).
Translate ambiguous business needs into a clear technical roadmap and be the primary technical voice defining the how.
Mentor and lead mid-level and junior engineers through code reviews, design docs, and coaching.
Apply advanced ML techniques including NLP, graph neural networks, sequence modeling, and agentic LLMs to crypto-native challenges.
Build context-aware risk systems that decide which friction (quizzes, LLM agents, or human reviews) to apply to balance security and user experience.
Architect and design risk detection systems, from feature pipelines to high-performance model serving (Graph Neural Networks, LSTMs, LLMs).
Translate ambiguous business needs into a clear technical roadmap and be the primary technical voice defining the how.
Mentor and lead mid-level and junior engineers through code reviews, design docs, and coaching.
Apply advanced ML techniques including NLP, graph neural networks, sequence modeling, and agentic LLMs to crypto-native challenges.
Build context-aware risk systems that decide which friction (quizzes, LLM agents, or human reviews) to apply to balance security and user experience.
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