Senior Applied AI Researcher (Dublin, CA)

About Us: Articul8 was born from a simple belief: GenAI should work for the enterprise, not the other way around. Our platform — combining domain-specific models, autonomous agentic reasoning (ModelMesh™), reliable model evaluation (LLM-IQ™), and multimodal understanding — serves regulated industries such energy, semiconductor, finance, aerospace, supply chain, and more. Trusted by Fortune 500 enterprises, we bring together research, engineering, product, and domain expertise to deliver AI that meets the accuracy, explainability, and auditability standards that high-stakes environments demand. Job Description: Articul8 AI is seeking a Senior Applied AI Researcher to solve open research problems across our domain-specific GenAI platform. You will own research projects end-to-end — from problem formulation through production deployment. This role spans model training, reinforcement learning, multimodal understanding, and knowledge representation — with deep expertise in at least one area. Responsibilities: Own and orchestrate end-to-end research programs using massively parallel agentic AI — from problem formulation through production deployment, designing agent-driven experiment campaigns that simultaneously explore model architectures, training regimes, data strategies, and evaluation criteria at a pace and breadth that redefines what a single researcher can accomplish Go deep: drive breakthrough domain-specific model quality — lead multi-stage training pipelines, domain adaptation, RL-based optimization (RLHF, DPO, reward modeling), and training dynamics analysis, using agentic systems to run exhaustive ablations, hyperparameter sweeps, and failure-mode investigations in parallel Go broad: span modalities, methods, and domains simultaneously — design and train multimodal systems (text, images, tables, charts, technical documents), knowledge graph pipelines, hybrid retrieval architectures, and structured reasoning systems, delegating exploration and prototyping acro