Adaptive Machine Learning Researcher

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 adapt
• Co-design real-time responses to product signals
• Explore stronger methods for capturing feedback
• Optimize across software, hardware, and algorithms
• Measure value through real-world product impact

Requirements:

• Computer science degree or equivalent research experience
• Project experience touching model efficiency or related areas
• Systems thinking across the full machine learning stack
• Strong Python and PyTorch, JAX, or TensorFlow skills
• Familiarity with RLHF and fine-tuning techniques

Apply adaptive algorithms, systems thinking, Python, and deep learning expertise to continual intelligence research and development.