Lead ML Engineer

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 Lead ML Engineer, with a proven track record of delivering ML models to production, to own the ML team in our growing company.

Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’

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

Lead our ‘AI Powered Education’ meet-up in London, building a network of ML specialists

Experience leading and mentoring other ML engineers

Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production

Experience taking complete ownership of entire ML systems and data pipelines in large-scale production systems

Experience building automated data pipelines

Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring

Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers

Great knowledge of NLP algorithms

Expertise in using tools such as Pandas and Num Py for data manipulation and analysis

Expertise in Python and Py Torch

Can speak, or learning to speak, more than one language

Experience with reinforcement learning

Knowledge-sharing experience (tech talks, articles, You Tube videos, etc.)

Lead an ML team that will become the leading specialists in ML-powered education

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

Lunch provided by the company every day

Workfromour London office

3 interviews, which will be 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