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Home›Jobs›Doctolib›Senior Machine Learning Engineer - Multimodal - AI Teams(x/f/m)
Doctolib

About Doctolib

Simplifying healthcare access for millions

👥 1K-5K📅 Founded 2013📍 Levallois-Perret, Île-de-France, France

Key Highlights

  • 17,000+ healthcare professionals using the platform
  • 6 million patients served monthly
  • Presence in 435 healthcare facilities across Europe
  • Headquartered in Levallois-Perret, France

Doctolib is the leading European platform for online medical appointment scheduling, serving over 17,000 healthcare professionals and connecting with 6 million patients monthly. Headquartered in Levallois-Perret, Île-de-France, Doctolib is present in 435 healthcare facilities across France and Germa...

🎁 Benefits

Employees enjoy competitive salaries, stock options, generous PTO, and a flexible remote work policy, promoting a healthy work-life balance....

🌟 Culture

Doctolib fosters a culture centered around improving healthcare access, emphasizing technology-driven solutions and a commitment to user experience. T...

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Doctolib

Senior Machine Learning Engineer - Multimodal - AI Teams(x/f/m)

Doctolib • Paris, Paris, France

Posted 2w agoSeniorMachine learning engineer📍 Paris
Apply Now →

Skills & Technologies

PythonMachine learningDeep learningNatural Language ProcessingTensorFlowPyTorch

Overview

Doctolib is seeking a Senior Machine Learning Engineer to develop AI solutions that enhance healthcare delivery. You'll work with multimodal inputs and collaborate with a diverse team to create impactful models. This role requires a strong background in machine learning and relevant programming skills.

Job Description

Who you are

You have a Ph.D. or MSc in Computer Science, Machine Learning, Computational Medicine, or a related field, and at least 5 years of experience in machine learning engineering. Your expertise includes developing and deploying machine learning models, particularly in healthcare applications. You are skilled in Python and have hands-on experience with frameworks like TensorFlow and PyTorch. You understand the nuances of working with multimodal data, including text, vision, and voice, and can reason through complex clinical scenarios. You are a collaborative team player who enjoys working with engineers and healthcare professionals to drive innovation. You are comfortable leading experiments and reporting results, and you have a strong understanding of model evaluation and benchmarking.

Desirable

Experience with natural language processing (NLP) and deep learning techniques is a plus. Familiarity with ML ops practices and deployment strategies will help you succeed in this role. You are encouraged to apply even if your experience doesn't match every requirement, as we value diverse backgrounds and perspectives.

What you'll do

In this role, you will design an evaluation framework and prepare datasets for various tasks, ensuring that the data is suitable for training and testing models. You will benchmark baseline models against both open-source and proprietary models to identify performance gaps and areas for improvement. Your strategic thinking will guide the development of models that meet performance targets, and you will lead experiments to validate your approaches. Collaborating closely with the ML platform team, you will deploy your models into production, ensuring they are robust and scalable. You will also have the opportunity to mentor junior team members and contribute to the overall growth of the machine learning team at Doctolib.

What we offer

At Doctolib, we are committed to transforming healthcare through technology. You will be part of a mission-driven team that values innovation and collaboration. We offer a competitive salary and benefits package, along with opportunities for professional development and growth. Join us in making a real impact on people's lives through AI in healthcare.

Interested in this role?

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