AI Safety & Alignment Research Scientist

Lexsi Labs; Paris; On-site; EUR 85,000 - 130,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

ML concepts

Deep learning

Reinforcement learning

MLOps basics

Explainability (LRP/LIME)

Transformer models

GANs

Python

Cloud deployment

Publications

Education

Master's or PhD in CS/Math

Tools

TensorFlow

PyTorch

Job description

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.