About the Company
Metacognition is a neolab building the future of intelligent agents. We believe that these next agents will be able to update their memory on the fly for years or decades. Metacognition brings together leading researchers who have been at the forefront of developing the key tools needed for long-term memory such as continual learning, LLM adaptation and explicit knowledge representation.
The company has raised in a pre-seed round and we are now hiring across a range of technical roles as we scale our team and reach a number of inflection points in AI performance. If you want to work on some of the hardest and most interesting problems in AI, we want to hear from you.
Role Overview
This role sits within our Data, Simulation & Evaluation priority area. The Data Scientist builds the data, simulation, and evaluation infrastructure that underpins frontier research, profiling and validating model performance and helping translate experimental ideas into measurable, reliable results. Role scope will be calibrated to the experience and profile of the candidate.
Key Responsibilities
Data, Simulation & Evaluation
- Build robust data, simulation, and evaluation infrastructure.
- Implement, optimise, and scale machine learning models and training pipelines.
- Profile and optimise model performance across compute environments.
- Bridge research and production — taking experimental code to reliable, efficient systems.
- Develop and maintain early-stage demonstrators of research ideas.
Requirements
Essential
- Strong Python skills.
- Hands-on experience training and deploying deep learning models on cloud infrastructure.
- Familiarity with PyTorch or JAX.
- Familiarity with simulation environments, synthetic data generation, or evaluation pipelines.
- Genuine intellectual curiosity, collaborative mindset, and comfort working in a fast-paced research environment.
Preferred
- Experience with large-scale model training (LLMs, vision-language models, or similar).
- Prior experience in a research lab, deep tech company, or AI-focused startup.
- Track record of shipping research or products in a collaborative team setting.