What you'll do

At Doctolib, we're on a mission to transform the way healthcare is delivered by leveraging the power of AI. You can play a key role in developing and implementing cutting-edge AI models that power our AI phone assistant for medical practices. The phone assistant allows patients to make, reschedule, or cancel appointments via phone without long hold times, providing more flexibility and around-the-clock access to healthcare services. It addresses a significant challenge in the healthcare sector: managing the high volume of telephone calls in order to improve the efficiency of healthcare professionals in their daily tasks.

As a Senior Data Scientist, you will enhance Doctolib’s phone assistant by improving speech-to-text accuracy through fine-tuning while ensuring low latency. You will also develop a conversational flow based on intent classification, information extraction (potentially using LLMs, Agentic Framework or traditional ML techniques) and internal API calls. You will improve user experience by adapting to users’ emotions in real time and reducing dropout rates by making the conversation feel ever more smooth, seamless and natural. You will also ensure safety by implementing guardrails that catch prediction errors before they happen, or mitigate their impact. The phone assistant will be the playground where you can do your best work and stay at the edge of innovation.

Your responsibilities include, but are not limited to:

  • Creating, finding or adapting model architecture.
  • Designing the right annotation and data collection strategy
  • Implementing and putting new ideas to the test to improve model performance and ultimately user experience.
  • Running offline model evaluation for various types of models with different metrics. 
  • Deploying algorithms in production using our state of the art ML platform
  • Measuring online performance and continuously refine your approach.

Who you are

You could be our next team mate if you: 

  • Have a Master's or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field
  • Have at least 5 years of experience in the applied AI domain
  • Have significant experience with either / or
    • Speech-to-text, Text-to-speech
    • NLP techniques and tools (especially for voice recognition and automation tasks)
    • LLMs and / or Agentic frameworks
  • Have knowledge of the latest NLP architecture (Transformer, LLM) and methods (fine tuning, distillation…)

Now, it would be fantastic if you: 

  • Have experience in MLOps and large production deployment (service being deployed to hundred of thousands of users) 
  • Have made significant contributions (papers, open source) in the domain.
  • Being proficient in German and/or French is a plus.

What we offer

  • Free Health Insurance for you & your family
  • Quarterly or monthly bonus (based on your position)
  • Up to 14 days of RTT 
  • Transparent internal mobility opportunities you're welcome to apply for
  • Parental care program (1 month off in addition to the legal parental leave and 0,5 days off per child when the school starts)
  • Solidarity Days (2 days per year to help health charities and create a positive social impact)
  • Wellbeing program (free mental health and coaching offer with our partner moka.care)
  • A flexible workplace policy offering both hybrid and office-based mode
  • Flexibility days allowing to work in EU countries and the UK 10 days per year 
  • Lunch voucher with Swile card
  • Work Council subsidy to refund part of sport club membership or creative class
  • Bicycle subsidy
  • Reimbursement of public transportation 
  • Relocation support for international mobilities

The interview process 

  • HR Screen
  • Technical Deep Dive(Question+Coding)
  • System Design
  • Behavioral Interview
  • Final interview with the Senior Director of Data&AI
  • Reference check and criminal background check
  • Offer!

Job details

  • Permanent position
  • Full Time 
  • Workplace : Paris (relocation assistance provided if needed)
  • Work Mode: Hybrid 3 days/week in the office
  • Start date: ASAP
  • Remuneration : fix + bonus on objectives (according to your profile)

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.

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Diversity & Inclusion - Voluntary Equal Opportunity Monitoring

We don't just accept Diversity at Doctolib, we respect and celebrate it!

At Doctolib, we support not only the growth of our team but also it's Diversity. We want to ensure that our recruitment process is accessible for everyone and that we can create a balanced workforce reflective of the society we live in.

This enables us to learn from one another's variety of experiences and points of view that will then be reflected in our policies and product, and contribute to transforming healthcare for all.

To achieve this, we invite applicants to share their demographic background/gender identity. You are not obliged to answer the question but the more information is being provided, the better we can understand where and what needs to be improved.

Answering or refusing to answer the question is not part of the decision-making process for recruitment. In concrete terms, this means that it has no impact on your recruitment process. The information collected will be anonymized and kept confidential in accordance with our privacy policy.

How would you describe your gender identity? (Select one)





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