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’re looking for a Junior ML Engineer to join the growing ML team at Glite. We are building fundamental models for eduction - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’ scheduling.
What you will do
- 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, applicable to any context - right now it’s the English language, but in the future it could be other languages or even subjects such as Mathematics
- Analyse large amounts of diverse data - including data from every movie, book, and song
- Work in a cross-functional team and communicate with backend engineers and product managers
- 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
Essential skills
- Bachelor's or master's degree in computer science or data science, or equivalent practical experience building ML solutions
- Knowledge of machine learning algorithms and metrics
- Understanding of neural networks, CNNs, RNNs, and transformers
- Knowledge of NLP algorithms
- Experience building automated ML pipelines
- Strong Python knowledge
- Experience using tools such as Pandas and NumPy for data manipulation and analysis
- Can speak, or is learning to speak, more than one language
- Complete end-to‑end ML experience - from finding and cleaning data all the way to monitoring models in production
- Understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring
- Experience with reinforcement learning
- Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.)
What we can offer
- A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!
- Freedom to suggest, implement, and test ideas
- 25 days annual leave
- At least 3 interviews, which will involve a mixture of technical and non-technical tasks
- If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite
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