Shape adaptive algorithms with Python and deep learning frameworks while exploring real-time learning, feedback, and model efficiency.
This Modelling Resident role focuses on building intelligence that continuously adapts to the world. You will co-design algorithms responding to product signals and feedback. The work spans model efficiency, synthetic data, interfaces, real-time alignment, and algorithmic optimization.
Key Responsibilities
Build algorithms that continuously learn and adaptCo-design real-time responses to product signalsExplore stronger methods for capturing feedbackOptimize across software, hardware, and algorithmsMeasure value through real-world product impactRequirements:
Computer science degree or equivalent research experienceProject experience touching model efficiency or related areasSystems thinking across the full machine learning stackStrong Python and PyTorch, JAX, or TensorFlow skillsFamiliarity with RLHF and fine-tuning techniquesApply adaptive algorithms, systems thinking, Python, and deep learning expertise to continual intelligence research and development.
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