AI Research Scientist (Paris)

Lexsi Labs; Paris; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

A leading frontier lab specializing in AI is seeking a Research Scientist in Paris to work on cutting-edge AI problems related to explainability, alignment, and safety. Candidates should have a solid understanding of machine learning, deep learning frameworks like Tensorflow and PyTorch, and relevant academic qualifications such as a Master's or Ph.D. The role involves collaboration with engineers, publishing research papers, and addressing industry challenges. Join an innovative team committed to maximizing the potential of AI while ensuring safety and transparency.

Qualifications

• Solid academic background in machine learning, deep learning, or reinforcement learning.
• Hands-on experience with deep learning frameworks like Tensorflow and PyTorch.
• 2+ years of experience in deep learning or machine learning.

Responsabilités

• Work on advanced problems in AI explainability, safety, and alignment.
• Collaborate with machine learning engineers and software development engineers.
• Publish papers in open forums and present at industry conferences.

Connaissances

Machine learning concepts

Deep learning frameworks

MLOps fundamentals

AI explainability methods

Formation

Master's or Ph.D. in computer science or mathematics

Outils

Tensorflow

PyTorch

Description du poste

Lexsi Labs is one of the leading frontier labs focusing on building aligned, interpretable and safe Superintelligence. Most of the work involves creating new methodologies for efficient alignment, interpretability lead-strategies and tabular foundational model research. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety.

Our team thrives on a shared passion for cutting‑edge innovation, collaboration, and a relentless drive for excellence. At Lexsi.ai, everyone contributes hands‑on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance.

As a research scientist at Lexsi.ai, you will be uniquely positioned in our team to work on very large‑scale industry problems and push forward the frontiers of AI technologies. You will become a part of the unique atmosphere where startup culture meets research innovation, with key outcomes of speed and reliability.

Responsibilities

• Work on advanced problems related to AI explainability, AI safety, and AI alignment.
• Flexibility in picking up the specialization areas within ML/DL and problem types that address the above challenges.
• Create new techniques around ML Observability & Alignment.
• Collaborate with MLEs and SDE to roll out features and manage their quality until they are fully stable.
• Create and maintain technical and product documentation.
• Publish papers in open forums like arXiv and present in industry forums like ICLR, NeurIPS, etc.

Qualifications

• Solid academic background in concepts of machine learning, deep learning or reinforcement learning.
• Master's or Ph.D. in key engineering topics like computer science or mathematics is required.
• Published peer‑reviewed papers or contributed to open‑source tools.
• Hands‑on experience working with deep learning frameworks like Tensorflow, PyTorch, etc.
• Enjoy working on various DL problems that involve using different types of training data sets – textual, tabular, categorical, images, etc.
• Comfortable deploying code in cloud environments/on‑premise environments.
• Good fundamentals in MLOps and productionising ML models.
• Prior experience working on ML explainability methods – LRP, SHAP, LIME, IG, CEM, etc.
• 2+ years of hands‑on experience in deep learning or machine learning.
• Hands‑on experience implementing techniques like transformer models, GANs, deep learning, etc.