About
Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application.
* 7+ years in applied Data Science / ML, with multiple production deployments in a commercial environment (SaaS strongly preferred).
* Strong grounding in: classification/scoring/ranking, NLP (and/or LLM applications), statistics, evaluation, and experimentation.
* Experience designing evaluation strategies: labeled datasets, human-in-the-loop review, acceptance thresholds, monitoring and drift.
* Comfortable operating in ambiguity with high ownership and high pace.Proven experience leading cross-functional teams to deliver production-ready ML/AI (even if you weren’t the people manager).Demonstrated ability to build explainable systems: not just performance, but transparency, evidence, and user trust.
* LLM evaluation and reliability methods (prompt eval, retrieval eval, hallucination mitigation, guardrails).
* Computer vision / multimodal experience, especially around authenticity, manipulation detection, or media forensics.Deep experience with entity resolution / record linkage at scale (probabilistic matching, embeddings, graph-based approaches).Experience building for regulated / high-governance contexts (financial services is a plus): auditability, documentation, controls.Powered by a unique ability to gather and streamline data from all corners of an increasingly complex media landscape, our team of journalists and researchers deliver clarity in a world of confusion. xcfaprz
Our mission is to dig deeper into the nuance inherent in social media to establish context, verify the truth and, ultimately, to help our partners make sense of the world.
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Languages
- English
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