Sr. Engineer, Machine Learning
Role details
Job location
Tech stack
Job description
We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We're on the verge of solving one of the biggest challenges in education - making high-quality, personalised learning accessible to everyone . We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We're looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. Build fully-automated pipelines for dictionary building; Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data Create brand new dictionaries and train models to determine the difficulty of words, idioms, phrasal verbs etc. Analyse large amounts of diverse data - including data
Requirements
from every movie, book, and song Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results Optimise and fine-tune machine learning models for performance, scalability, and accuracy Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrieval Can speak, or learning to speak, more than one language Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in ML models A real-deal startup adventure: you'll be hopping on a