Design, develop, and deploy AI assistants using machine learning and natural language processing techniques. Collaborate with the core team to advance the system's ability to answer complex technical questions. Stay up-to-date with the latest research and apply new ideas to real product challenges.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
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