Principal Applied AI Researcher - Domain- Specific Models (Dublin, CA)
Core
Define and scale domain-specific AI models for regulated industries (energy, finance, aerospace) using autonomous agentic reasoning and reliable evaluation.
Role type
Principal Applied AI Researcher (Domain-Specific Models)
Builds
Domain-specific LLMs, agentic research infrastructure, and evaluation harnesses for high-stakes enterprise environments.
Domain
Enterprise AI, Large Language Models, Domain-Specific Modeling
Deliverable
production ML models
Required skills
PhD or MSc in CS/ML/NLP, 10+ years AI/ML research, 4+ years LLM systems, full model lifecycle mastery (pre-training, SFT, post-training), evaluation methodology design, large-scale distributed training, Python, PyTorch, strategic research leadership
Preferred skills
Domain-specialized model development, post-training methods (RLHF, DPO), data curation for model development, enterprise evaluation frameworks, top-tier publication record, prototype-to-production experience, domain expertise in energy/semiconductor/finance/aerospace/supply chain
Technologies
DeepSpeed, FSDP, Megatron-LM, Python, PyTorch
Responsibilities
Set company-level technical direction for domain-specific model strategy; Architect the agentic model development paradigm; Push the frontier of domain-specific model science; Shape model strategy across all domains; Define evaluation strategy as an agentic discipline; Lead cross-cutting research initiatives; Influence platform-level decisions; Mentor senior researchers; Maintain hands-on research impact
Seniority
Principal, strategy & mentorship