We are looking for an Applied NLP Engineer willing to grow with us and to support the team implementing the startup roadmap.
We are an ambitious team passionate about bringing generative AI solutions to a new dimension to improve the productivity and quality of work. We are looking for a person sharing our goals, motivation and values.
Responsibilities
As part of a startup, you will contribute to developing every area of the software. In particular, you will:
- Develop and fine-tune advanced NLP components (entity, relation & document understanding) and feed the results into our internal data stores.
- Build and maintain scalable pipelines that transform raw text into graph-structured knowledge and improve model performance through targeted retraining.
- Set up automated evaluation and experiment tracking so we can measure quality and iterate quickly.
- Collaborate with infrastructure and product teams to surface results through secure APIs and dashboards.
👩🎤 Profile
Our ideal teammate would identify their assets in the following:
- 3 + years building NLP or ML systems in Python (PyTorch / Hugging Face ecosystem).
- Hands-on experience with parameter-efficient model adaptation techniques and distributed training on GPU clusters.
- Familiarity with graph databases or graph tooling and the ETL techniques required to populate them.
- Comfort working on Linux, using Git, and automating workflows with modern CI tooling.
- Excited about joining a start-up
- Nice 🙂
Nice-to-have: knowledge of graph query languages, large-scale model serving, or performance tuning on CUDA (or PTX).