AI Research Scientist (Paris)

Story Terrace Inc.; Paris; Sur place; EUR 90 000 - 150 000; Plein temps

Résumé du poste

Lexsi Labs in France is seeking a Research Scientist to tackle large‑scale AI alignment, explainability, and safety challenges. The role combines startup culture with rigorous research, offering opportunities to publish and contribute to foundational ML work.

You will advance techniques in ML Observability, collaborate with ML Engineers and SDEs, and influence deployment in cloud or on‑premise environments while pushing the frontiers of safe AI.

Qualifications

• Advanced degree in ML/CS/Math required (MS or PhD).
• Publications or open‑source contributions preferred.
• Experience with DL frameworks and cloud deployment.

Responsabilités

• Work on AI explainability, safety, and alignment problems.
• Choose specialization areas within ML/DL and problem types.
• Develop techniques around ML Observability & Alignment.
• Collaborate with MLEs and SDEs to roll out features and ensure quality.
• Publish papers and present at conferences like arXiv, ICLR, NeurIPS.

Connaissances

ML foundations

Deep learning / RL

Peer‑reviewed publications

TensorFlow / PyTorch

Multi‑modal data handling

Cloud / on‑prem deployment

MLOps fundamentals

Explainability methods

2+ years DL/ML

Transformer / GANs experience

Formation

Master's or PhD in CS or Mathematics

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 on 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

• You will work on advanced problems related to AI explainability, AI safety, and AI alignment.
• You'll have 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 the 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

• Has a solid academic background in concepts of machine learning or deep learning or reinforcement learning.
• Master or Ph.D in key engineering topics like computer science or Mathematics is required
• Should have published peer-reviewed papers or contributed to opensource tools
• Hands-on experience in working with deep learning frameworks like Tensorflow, Pytorch etc
• Enjoys 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 on working on ML explainability methods - LRP, SHAPE, LIME, IG, CEM etc.
• 2+ years of hands-on experience in Deep Learning or Machine Learning.
• Hands-on experience in implementing techniques like Transformer models, GANs, Deep Learning, etc.