Continual Learning Researcher

Key responsibilities: Develop methods for selective consolidation, replay, adaptation, and reinforcement learning Build task-generation and training pipelines with reproducible data to trace regressions Conduct experiments to measure skill retention, transfer, and regression across changing tasks

Required qualifications: Experience in continual or online learning, reinforcement learning, or adaptive production machine learning Hands-on experience with model-training and evaluation experimental loops Strong Python skills with the ability to create artifacts for research and engineering use Demonstrated experimental judgment with a focus on meaningful baselines and clear failure attribution Ability to manage ambiguous problems and communicate effectively with partners and teammates