Modelling Resident

Job Summary

To support innovative algorithm development, the remote Modelling Resident will collaborate on key production and research projects, focusing on adaptive algorithms, cross-stack optimization, and measuring real-world impact during an 8-month contract.

Key responsibilities

• Build adaptive algorithms that continuously learn and react in real-time to product signals and feedback
• Collaborate across software, hardware, and algorithmic domains to enhance system-wide efficiency
• Evaluate the real-world impact of algorithms to ensure they deliver meaningful value

Required qualifications

• A degree or equivalent research/engineering experience in a computer science field
• Genuine interest in model efficiency, synthetic data, interfaces, real-time alignment, or algorithmic optimization
• Systems thinking with the ability to optimize across the full ML stack
• Strong Python skills and experience with deep learning frameworks (PyTorch, JAX, or TensorFlow)
• Familiarity with model optimization techniques such as RLHF and fine-tuning