Senior Research Scientist - Sovereign AI Research

Were looking for experienced, hands-on researchers who have repeatedly taken complex AI capabilities from initial problem definition to real-world use. Expect scarce data, noisy labels, and problems without an established playbook. Youll have the autonomy to shape the approach-and the responsibility to make it work.
Responsibilities
Our Research Tracks:
Were hiring across four tracks. We expect deep expertise in at least one, not mastery of all four.
Agents: Self-improving agents, learning from execution traces, and user feedback. Genetic and evolutionary optimization of workflows, tools, and code
NLP: Reinforcement learning for language models, distillation, retrieval and embeddings, named-entity and relation extraction, and multilingual learning.
Vision & Audio: Visual and speech understanding, detection and segmentation, multimodal representation learning, grounding, and cross-modal retrieval.
Machine Learning: Representation and graph learning, probabilistic and causal modeling, optimization, and learning with limited or noisy data.
What Youll Own:
Take research from an open-ended problem to a working capability: define success, develop the data and methods, run rigorous experiments to make it work. Work closely with engineering through deployment, measuring quality, efficiency, not just benchmark scores. Drive progress through technical blockers, adapt when an approach fails, and strengthen the team through collaboration, technical review, and mentoring.