Job Title

Metric has partnered with a VC-backed AI company working with leading retail and ecommerce brands to improve how their product data performs across search engines, generative answer engines, and AI-driven discovery systems. They are looking for a Senior Machine Learning Scientist specializing in Search Engine Optimisation and Generative Engine Optimisation, applied through data, modelling, and experimentation. What you will work on: Building algorithms that improve product visibility in generative search and answer engines Analysing search, clickstream, and system data to understand AI crawling and summarisation Applying NLP to model intent, relevance, and semantic signals used by LLMs Predicting the impact of technical optimisation changes on generative search performance Automating structured data and factual enrichment with engineering teams Running experiments to measure GEO and AEO impact versus traditional search What they are looking for: 6+ years experience in Machine Learning, Applied Science, or Data Science Hands-on experience with NLP, LLMs, embeddings, and semantic search Understanding of search relevance and information retrieval concepts Experience working with large datasets using SQL and cloud data platforms Strong Python skills for data analysis (Pandas, NumPy) and ML (Scikit-learn, PyTorch/TensorFlow) Familiarity with SEO or search data APIs for programmatic analysis Preferred skills: Experience optimising for generative or answer-based search systems (GEO/AEO) Experience running controlled experiments or A/B tests in search environments Experience working in a startup or high-growth product environment This role is a great fit for someone who has already worked on SEO or search optimisation problems, and has taken a scientific, ML-led approach to improving visibility, attribution, and retrieval performance.