Enigma is seeking a Machine Learning Engineer to advance their AI assistants for technical knowledge accessibility. This role involves designing and evaluating retrieval-augmented-generation systems and building adaptive retrieval pipelines. Ideal candidates have a Master's/PhD, strong ML/NLP/LLM expertise, and experience with retrieval systems.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
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
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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
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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
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