Verified from career page · Posted +6mo ago

Doctolib

AI Talent Pool

Doctolib · Engineering

Paris

Mid-level Still listed after 6+ months

Machine learningDockerKubernetesLLM / GenAIMLflowNLPPythonPyTorchscikit-learnTensorFlow

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Posted
+6mo ago

Posted on 17 January 2024

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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-oriented approach

You speak English fluently (international work environment)

It would be fantastic if:

You have experience in healthcare or medical NLP

You master RAG techniques, embeddings, and vector search

You know MLOps technologies and model deployment in production (Kubernetes, Docker, MLflow)

You have contributed to open-source projects or published in AI conferences

At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from, what you look like. This translates into our recruitment process: Doctolib is an equal opportunity employer. We don't just accept diversity at Doctolib, we respect and celebrate it!

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. If you have a disability, let us know if there's any way we can make the interview process smoother for you!

All the information transmitted via this form is processed by Doctolib for the purpose of managing applications. For more information on how Doctolib processes your application data, click here.

If you wish to exercise your rights or if you have any questions about the processing of your data, you can write to us at hr.dataprivacy@doctolib.com.

About Doctolib

Doctolib runs the appointment-booking platform most French and German patients use to find a doctor. Berlin and Paris split the roles roughly evenly, and behind the sales-heavy headline count sits real engineering: machine learning and SRE roles building the scheduling and video-consultation systems the product runs on.

Apply at Doctolib

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