Senior Applied AI Researcher (Dublin, CA)
Core
Senior Applied AI Researcher owning end-to-end research programs for domain-specific GenAI platforms, utilizing massively parallel agentic AI to solve open research problems and drive production deployment.
Role type
Senior Applied AI Researcher (GenAI/LLM)
Builds
Domain-specific GenAI models, multimodal systems, knowledge graph pipelines, and agent-driven training infrastructure.
Domain
Generative AI, Large Language Models, Reinforcement Learning, Multimodal Learning, Distributed Systems
Deliverable
production ML models
Required skills
Multi-stage model training pipelines, Reinforcement Learning from Human Feedback (RLHF), Distributed training at scale, Python software engineering, Domain-specific model adaptation, Multimodal learning, Knowledge-grounded generation, Retrieval-augmented systems
Preferred skills
Specialized domain model adaptation, Prototype-to-production track record, Knowledge graph construction, Structured reasoning systems, Cloud-native ML infrastructure
Technologies
DeepSpeed, FSDP, Megatron-LM, Kubernetes, GPU clusters
Responsibilities
Orchestrate end-to-end research programs using agentic AI; Lead multi-stage training pipelines and domain adaptation; Design and train multimodal systems and knowledge graph pipelines; Architect agent-orchestrated data and training infrastructure; Mentor AI Researchers on agentic workflows; Compress research-to-production cycles via automated testing; Build knowledge systems for team leverage.
Seniority
Senior, hands-on IC