AI Safety & Alignment Research Scientist

Lexsi Labs

Paris

Sur place

EUR 85 000 - 130 000

Plein temps

14 jours+

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Résumé du poste

Lexsi Labs is at the frontier of building aligned, interpretable and safe AI, with a focus on scalable ML/DL methods. You will tackle advanced AI safety, explainability, and alignment problems in large-scale settings, while collaborating with MLEs and SDEs to ensure reliability and smooth deployment.

The role emphasizes publishing peer‑reviewed papers, presenting at industry venues, and contributing to open research culture in a flat, fast‑paced environment in Paris.

Qualifications

  • PhD or MSc in CS or Mathematics with strong ML foundations.
  • Peer‑reviewed papers or significant open‑source contributions.
  • Hands‑on DL frameworks experience (TF, PyTorch).
  • Experience applying ML to diverse data types (text, tabular, image).
  • Cloud/on‑prem deployment experience for ML models.
  • Solid grounding in ML explainability methods.
  • 2+ years in DL/ML and strong research track record.
  • Experience with Transformer, GANs, and other DL techniques.

Responsabilités

  • Advance AI alignment, safety, and explainability research.
  • Publish papers and present at conferences.
  • Collaborate with ML engineers to deploy ML features.
  • Maintain technical and product documentation.
  • Experiment with diverse data types to improve models.

Connaissances

ML concepts
Deep learning
Reinforcement learning
MLOps basics
Explainability (LRP/LIME)
Transformer models
GANs
Python
Cloud deployment
Publications

Formation

Master's or PhD in CS/Math

Outils

TensorFlow
PyTorch

Description du poste

Lexsi Labs is at the frontier of building aligned, interpretable and safe AI, with a focus on scalable ML/DL methods. You will tackle advanced AI safety, explainability, and alignment problems in large-scale settings, while collaborating with MLEs and SDEs to ensure reliability and smooth deployment.

The role emphasizes publishing peer‑reviewed papers, presenting at industry venues, and contributing to open research culture in a flat, fast‑paced environment in Paris.

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