5 months ago
Remote, Brazil or São Paulo, BrazilSenior
Responsibilities
- Own and orchestrate end-to-end research programs using massively parallel agentic AI.
- Drive breakthrough domain-specific model quality through multi-stage training pipelines.
- Design and train multimodal systems and knowledge graph pipelines.
- Build agent-orchestrated pipelines for data curation and large-scale training.
- Mentor AI Researchers on effective agent workflows.
- Compress the research-to-production cycle using agentic CI/CD and automated testing.
- Document findings and contribute to internal knowledge infrastructure.
- Identify and eliminate workflow bottlenecks to maximize team potential.
Requirements
- PhD or MSc in Computer Science, Machine Learning, or a related field.
- 5+ years as an AI/ML researcher with shipped research artifacts.
- Experience with multi-stage training pipelines and diagnosing training failures.
- Deep expertise in at least one area such as multimodal learning or reinforcement learning.
- Hands-on experience with distributed training at scale.
- Production-grade Python skills and clean code practices.
Tech Stack
Categories
Data Science
About Articul8
Articul8 builds an enterprise generative AI platform for regulated industries—finance, aerospace, energy, semiconductor, and supply chain—to turn proprietary data and domain expertise into decisioning and automation. The privately held company, founded in 2024 and headquartered in Dublin, California, sells software and services for deploying domain-specific models with auditability and security. Reported customers include Intel and Franklin Templeton, and it is used by Fortune 500 enterprises.