Modelling Resident

Responsibilities

• Build adaptive algorithms that continuously learn and react in real-time to product signal
• Collaborate across software, hardware, and algorithmic domains for system-wide efficiency
• Explore new ways of capturing feedback to improve algorithmic performance
• Focus on real-world impact and product signal to drive value

Requirements

• Degree or equivalent research/engineering experience in computer science
• Experience with Python and deep learning frameworks (PyTorch, JAX, or TensorFlow)
• Project experience in model efficiency, synthetic data, interfaces, real-time alignment, or algorithmic optimization
• Understanding of model optimization techniques like RLHF and fine-tuning
• Systems thinking across the full ML stack
• Strong communication skills for remote collaboration

About the Company

We are building efficient intelligence that evolves in real-time. Our vision is to create AI systems that are flexible, personalized, and accessible to everyone through continuous adaptation and efficiency.