dex - Founding Machine Learning Engineer
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Requirements
• Experience with recommendation systems, ranking models, or candidate/item matching • Classical ML background (supervised/unsupervised, feature engineering, gradient boosting) • Experience with voice agents or real-time audio pipelines • Familiarity with Pydantic AI or similar agent frameworks • Experience in recruiting tech or marketplace systems
Responsibilities
• Own the matchmaking engine — build and improve the AI-driven talent matching system; design representations, scoring models, and instrumentation from the ground up • Work with embeddings and retrieval — build and evaluate embedding models, vector search, and semantic retrieval systems that power candidate-to-role matching • Design and run evaluations — build practical eval frameworks for model behaviour and output quality; make rollout safety and failure handling first-class concerns • Contribute to agent and LLM systems — work on the voice agent backend and LLM pipelines with a model-level understanding of what's actually happening • Ship reliable backend services — build production-grade Python services, not prototypes; handle errors, retries, latency, and observability as standard
Benefits
• Dex represents an opportunity to join a well funded, early stage business that is solving a real and relatable problem in a gigantic market. • This is an opportunity to build a brand from the early stages in a team that cares deeply about brand and design. We work in a market that has an absolute dearth of intentional brands and designs, we want to stand out from that. • There will be a generational company built in this space, we believe it’s going to be Dex • Above market salary — we're building a world class team and believe pay should match that ambition • Significant equity — we want this to be the last job you 'have' to take • Full private healthcare & dental — because life happens and we want to support you • Fertility benefits & enhanced parental support • Claude tokens — lots and lots of Claude tokens • Regular socials, offsites and an annual trip • MacBook Pro + team kit • "Whatever you need" approach to tools and support
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