[Hiring] Machine Learning Engineer @Metacognition

Role Description

This role sits within our Engineering/Products team, bridging research and production. The Machine Learning Engineer takes experimental research code and turns it into reliable, efficient, scalable systems, working closely with research scientists and the broader engineering organisation. Role scope will be calibrated to the experience and profile of the candidate.

Key Responsibilities

• Implement, optimise, and scale machine learning models and training pipelines.
• Build robust data, simulation, and evaluation infrastructure.
• Bridge research and production — taking experimental code to reliable, efficient systems.
• Profile and optimise model performance across compute environments.
• Develop and maintain early-stage demonstrators of research ideas.

Qualifications

• Strong Python skills.
• Hands-on experience training and deploying deep learning models on cloud infrastructure.
• Familiarity with PyTorch or JAX.
• Genuine intellectual curiosity, collaborative mindset, and comfort working in a fast-paced research environment.

Requirements

• Experience with large-scale model training (LLMs, vision-language models, or similar).
• Familiarity with simulation environments, synthetic data generation, or evaluation pipelines.
• 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.

Benefits

• Competitive remuneration.
• Remote working.
• The opportunity to work with leading researchers, engineers and industry experts.
• A highly collaborative, fast-moving environment.
• Meaningful ownership and the opportunity to influence how we build and grow.
• Opportunities to learn, experiment and work on genuinely challenging problems.

Company Description

Metacognition is committed to creating an inclusive workplace where different perspectives, experiences and backgrounds are valued. We encourage applications from people with diverse backgrounds and experiences.