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This job expired on 21/07/2026. It no longer accepts applications.
Engineering Manager, Data Science
Bluebird · Berlin
Job description
About the role
Join a fast‑growing AI startup that is redefining AI‑search optimisation. As Engineering Manager, Data Science you will lead a small, high‑impact data‑science team, shape the technical direction, and influence the product roadmap.
Key responsibilities
- Design, train, and deploy models powering AI search recommendations.
- Develop novel algorithms that reverse‑engineer LLM behaviour, owning the full ML lifecycle from research to production.
- Architect scalable data and ML systems, including pipelines, evaluation frameworks, and model serving.
- Write and review production‑grade code while ensuring reliability and performance.
- Mentor and grow a small data‑science team, fostering a culture of excellence.
Required profile
- Senior data‑science leader who has owned and scaled complex ML systems from research to production.
- Deep, first‑principles understanding of LLMs and AI search with strong systems instincts.
- Excellent communication skills to translate technical concepts to executives and customers.
- Experience in high‑growth startups, top‑tier tech companies, or research environments.
Required skills
- Python
- SQL
- PyTorch
- TensorFlow
- HuggingFace
- ONNX
- Google Cloud Platform (GCP)
- BigQuery
- FastAPI
- Docker
- OpenAI
- Claude
- Gemini
- Llama
What we offer
- Base salary up to €150 K annually plus equity.
- Hybrid work model with a beautiful Berlin office.
- Opportunity to influence a category‑defining AI product.
- Close‑knit team where your decisions move the needle.
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Bluebird
Berlin
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