Machine Learning / Deep Learning Engineer (Edge AI preferred) – QuirinusLocation: Switzerland / GenevaStage:Pre-SeedJob Type: Founder role, Equity includedIndustry: Digital Investigations, Privacy-Tech, AIAbout QuirinusQuirinus is building a privacy-first investigation platform powered by Edge AI.We aim to redefine how investigators, analysts, and risk professionals work with sensitive data: entity graphs, case timelines, AI-assisted reasoning, and structured evidence — without exposing confidential information to the cloud.We are currently pre-seed and preparing for our first institutional raise.To get there, we need a CTO who can own the technical vision, shape the architecture, and co-build the roadmap that unlocks funding.You will join as co-founder, owning the technical direction of the company.Your initial mission is to shape and validate the product roadmap, technical architecture, and feasibility of Quirinus' core differentiator: a fully local AI investigation engine.As CTO, you will collaborate directly with the founder to prepare the technical narrative for investors and design an achievable, defensible plan for the first 12–24 months.This is an opportunity to build a company from the ground up.ResponsibilitiesDefine and own the technical vision of QuirinusBuild the product and technical roadmap required for pre-seed fundraisingDesign the architecture of an offline-first investigation platformDevelop and test early prototypes: local inference, small language models, on-device reasoning, RAG pipelinesEvaluate hardware options for fully local deploymentsImplement model optimization strategiesEnsure reliability, safety, and controllability of AI in investigation workflows (hallucination-reduction, grounding, reasoning steps)Participate in investor conversations regarding the technical strategyRecruit early engineers as the company growsRequired SkillsStrong experience in Machine Learning / Deep LearningProven ability to optimize models for constrained environmentsExperience building inference pipelines end-to-endAbility to evaluate trade-offs between accuracy, latency, RAM, quantization levels, and deployment constraintsStrong engineering fundamentals, especially in performance, reliability, and systems designComfortable building early prototypes independentlyNice-to-HaveExperience with graph databases (Neo4j, Memgraph, ArangoDB)Familiarity with OSINT, digital investigations, compliance, or risk analysisUnderstanding of local-first or privacy-first architectures (E2EE, zero-trust, enclaves)What We OfferCo-Founder status + equity proportional to involvement and contributionAbility to work on a high-impact product with real societal valueOwnership of the entire technical vision of the companyFlexibility in how and where you work