Machine Learning Engineer \| Python \| PyTorch \| Natural Language Processing \| LLM \| Large Language Models \| Remote, Europe
About Us
We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system’s ability to answer increasingly complex technical questions. Our technology is already deployed on real-world developer documentation, where users can query information directly through an integrated AI assistant.
The Challenges You’ll Work On
Evaluating a retrieval-augmented-generation (RAG) system in production without labelled data
Designing your own benchmarks from scratch
Building an agentic retrieval pipeline that adapts between fast and more thorough query strategies
Fine-tuning embeddings or reranking models
What You’ll Do
Collaborate closely with the core team and software engineers
Stay up-to-date with the latest research and apply new ideas to real product challenges
Design, run and analyse experiments to push system performance
You Might Be a Great Fit If You Have
A Master's or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or a related field
Strong knowledge of machine learning, deep learning (including LLMs), and natural language processing
Hands-on experience training, fine-tuning, and deploying LLMs
Experience working with vector databases, search indices, or data stores for retrieval use cases
Significant experience building evaluation systems for search or language models
Familiarity with information retrieval techniques (e.g., lexical search, dense vector search)
Comfort working in a fast-moving environment with ambiguous problem spaces
A desire to learn more about ML research
Please note that this position is fully remote in Europe but you MUST have the right to work in your country of residence.
Machine Learning Engineer \| Python \| Pytorch \| Natural Language Processing \| LLM \| Large Language Models \| Remote, Europe