
Artificial Intelligence • Compliance • Fintech
Silent Eight is a company specializing in artificial intelligence solutions designed to combat financial crime. Their flagship platform, Iris 6, uses advanced AI techniques to identify and manage anti-money laundering (AML) risks with speed and precision. With significant investments in research and development, Silent Eight processes billions of transactions annually, providing solutions such as automated alert adjudication, name screening, transaction screening, and continuous monitoring to detect and prevent illicit activities like money laundering and terrorist financing. Their mission is to eliminate the profits from financial crime through the fusion of human expertise and AI technology, aiming to reduce the staggering $2 trillion laundered globally each year.
November 20
🗣️🇵🇱 Polish Required

Artificial Intelligence • Compliance • Fintech
Silent Eight is a company specializing in artificial intelligence solutions designed to combat financial crime. Their flagship platform, Iris 6, uses advanced AI techniques to identify and manage anti-money laundering (AML) risks with speed and precision. With significant investments in research and development, Silent Eight processes billions of transactions annually, providing solutions such as automated alert adjudication, name screening, transaction screening, and continuous monitoring to detect and prevent illicit activities like money laundering and terrorist financing. Their mission is to eliminate the profits from financial crime through the fusion of human expertise and AI technology, aiming to reduce the staggering $2 trillion laundered globally each year.
• Go to the field: talk to users, shadow their workflows, capture the as‑is → goals & constraints. • Define hypotheses & KPIs (precision/recall, FPR, TAT, coverage, cost/decision) and turn them into experiment plans. • Design decision flows that mix LLMs, retrieval/RAG, classical ML, and lightweight rules; ensure explainability and auditability. • Build quick prototypes (notebook → lightweight service/API) and measure their impact on real data. • Create evaluation sets and scoring rubrics (offline + side‑by‑side + sanity checks + guardrails). • Present findings & recommendations directly to decision‑makers; propose rollout (pilot → production‑lite → scale). • Lead innovation processes across the company; test, promote solutions and mentor others with new AI technologies.
• Problem‑solving & communication: you can break down fuzzy problems and explain risks to non‑technical stakeholders. • LLMs + ML in practice: RAG, prompting, tool‑calling; classification/ranking/deduplication; fundamentals of evaluation & experimentation. • Python + SQL sufficient to build a prototype that works and can be maintained. • Polish & English fluency for user conversations and concise write‑ups.
• 100% remote work forever • Paid Development Days • In-house training • Team building events
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