Senior Applied AI Researcher (Brazil)
Core
End-to-end research for domain-specific GenAI platforms, focusing on model training, reinforcement learning, multimodal understanding, and knowledge representation.
Role type
Senior Applied AI Researcher (GenAI/LLMs)
Builds
Domain-specific models, multimodal systems, knowledge graph pipelines, and production-ready AI systems for regulated industries.
Domain
Generative AI, Large Language Models, Reinforcement Learning, Multimodal Learning
Deliverable
production ML models
Required skills
Multi-stage model training pipelines, Reinforcement Learning (RLHF, DPO), Distributed training systems, 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 in agentic paradigms, Compress research-to-production cycles via automated testing and evaluation
Seniority
Senior, hands-on IC