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 improve user experience by adapting to her 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 domain.
  • Have significant experience with speech-to-text.
  • Have experience with NLP techniques and tools, which is particularly relevant for voice recognition and automation tasks.
  • Have experience working with Large Language Models.
  • Have knowledge of the latest NLP architecture (Transformer, LLM) and methods (fine tuning, distillation…)
  • Are proficient in German.


Now, it would be fantastic if you: 

  • Have experience in deploying and scaling NLP solutions.
  • Have experience with text-to-speech models and large multimodal models.
  • Have made significant contributions (papers, open source) in the domain.
  • Being proficient in French is a plus.

What we offer

  • Employee share plan for every Doctoliber 
  • Additional health plan scheme with our partner Allianz 
  • Quarterly or monthly bonus (based on your position)
  • Minimum 28 days of paid leave
  • 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 external partner)
  • For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support.
  • 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 
  • Reimbursement of public transportation or company car (only for Field Sales & Deployment teams)
  • Lunch vouchers and healthy snacks in the office
  • Discount on the Urban Sports Club package

The interview process 

  • HR Screen
  • Interview with 1 or 2 members of the Data Science team
  • Case Study & Case restitution
  • Final interview with the Senior Director of Data and AI
  • At least one reference check and criminal background check

 

Job details

  • Permanent position
  • Full Time 
  • Workplace : Berlin
  • Start date: asap
  • Remuneration : fix + bonus on objectives (according to your profile)

A stock options plan for every Doctoliber

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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