AI Talent Pool

Are you passionate about artificial intelligence and want to contribute to revolutionizing the healthcare sector? Doctolib develops cutting-edge AI solutions to improve access to care and facilitate the daily lives of healthcare professionals and patients. Our AI/ML teams work on large-scale projects: medical natural language processing, recommendation systems, clinical process automation, and much more.

We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here!

By joining our AI talent pool, you will be contacted as a priority for our future opportunities in the following areas:

The areas of expertise we are looking for

ML Engineering & MLops : Python proficiency, Model deployment, Evaluation frameworks (Offline/Online) & Model monitoring

Natural Language Process (NLP) : Clinical NLP, LLM expertise Deep Learning or Speech / Language modeling

LLMops & Generative AI : Prompt Engineering, RAG, LLM fine-tuning, Embedding models, Agent frameworks

Automatic Speech Recognition (ASR) : Voice Activity Detection, Interactive voice assistants, audio processing, Speech-to-text

Search, Ranking, information retrieval

Reasoning capabilities : Logical reasoning, Multi-step reasoning, Chain-of-thought approaches

Knowledge representation : Knowledge graphs, ontologies, Semantic modeling

Reinforcement Learning : RL algorithms, Policy optimization, Reward modeling

Most of our positions require

Before reading further, if you don't have the exact profile described below, but you think this job description matches your skills and aspirations, we still encourage you to apply.

Hold a degree in computer science, applied mathematics, data science, or related field (Master's, PhD, or equivalent)

Master machine learning and deep learning frameworks (PyTorch, TensorFlow, Scikit-learn)

Have hands-on experience with LLMs, open and closed source Proficient in Python

Possess strong analytical skills and a results-o