Machine Learning Engineer | Python | PyTorch | Natural Language Processing | LLM | Large Langua[...]

Senior Delivery Consultant at Enigma - Global Machine Learning and Generative AI Recruitment

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.