Applied AI Researcher (Brazil)
Core
Design and run experiments, build training/evaluation pipelines, and ship research into production for a domain-specific GenAI platform serving regulated industries.
Role type
Senior Applied AI Researcher (GenAI/ML)
Builds
Domain-specific GenAI models, agentic reasoning systems, and evaluation pipelines for enterprise clients.
Domain
Generative AI, Machine Learning, Reinforcement Learning, Multimodal Understanding
Deliverable
production ML models
Required skills
PhD in CS/ML or MSc with 4+ years research experience, end-to-end neural model training, probability/optimization/linear algebra, distributed training pipelines, production Python, Git
Preferred skills
Published at NeurIPS/ICML/ICLR/ACL/EMNLP/CVPR, hands-on RLHF/DPO/reward modeling, cloud ML infrastructure (AWS/GCP/Azure)
Technologies
PyTorch, DeepSpeed, FSDP, AWS, GCP, Azure
Responsibilities
Architect massively parallel AI research workflows using agentic systems, design and iterate on LLMs/VLMs/embedding models, conduct first-principles research into model architectures and RL, build agentic research infrastructure, integrate breakthroughs into production, publish at top-tier venues
Seniority
Senior, hands-on IC
