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 Machine Learning Engineer, 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
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 (except for Customer 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
Wellbeing program (free mental health and coaching offer with our partner moka.care)
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
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 : Doctolib Paris Office in Levallois Perret (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!
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