Senior AI Researcher - Domain GenAI & Agentic Systems

Articul8; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Articul8 AI is seeking a Senior Applied AI Researcher to tackle open research problems across our GenAI platform. You will own research projects end-to-end—from problem formulation through production deployment—and work across model training, RL, multimodal understanding, and knowledge representation.

You will lead ambitious experiments, collaborate with engineering and product teams, publish findings, and help scale research to production, embedding domain-specific capabilities for regulated

Qualifications

• PhD or MSc in CS/ML or related field.
• 5+ years AI/ML research with shipped artifacts.
• 2+ years building LLM-based systems.
• Experience with multi-stage training pipelines and diagnosis of training failures.
• Distributed training at scale and data/model parallelism knowledge.
• Production-grade Python and tooling.

Responsibilities

• Own and drive end-to-end research programs across domain-specific GenAI.
• Lead multi-stage model training, RL-based optimization, and evaluation.
• Design multimodal systems and knowledge graphs for scalable insights.
• Architect agentic data and training infrastructure for the team.
• Mentor researchers in agentic workflows and best practices.
• Bridge research prototypes to production-ready systems with CI/CD and testing.
• Document findings and contribute to internal knowledge bases.

Skills

PhD or MSc in CS/ML

5+ years AI/ML research

2+ years LLM-based systems

Distributed training at scale

Production-grade Python

Education

PhD or MSc in Computer Science, Machine Learning, or related field

Tools

DeepSpeed

Megatron-LM

Job description

Articul8 AI is seeking a Senior Applied AI Researcher to tackle open research problems across our GenAI platform. You will own research projects end-to-end—from problem formulation through production deployment—and work across model training, RL, multimodal understanding, and knowledge representation.

You will lead ambitious experiments, collaborate with engineering and product teams, publish findings, and help scale research to production, embedding domain-specific capabilities for regulated