What you’ll do
At Doctolib, we're on a mission to transform the way healthcare is delivered by leveraging the power of AI. As a Senior Machine Learning Engineer, you'll play a critical role in developing and implementing cutting-edge AI solutions that will simplify the access and quality of care for all.
In this role, you'll have the opportunity to work with a team of talented Machine Learning Engineers, software engineers, ML ops and healthcare professionals to develop and deploy AI models that will have a real impact on people's lives.
You will work at simplifying how patients find their healthcare practitioner, handle their care plan in the long term and work with business team to contribute expansion of Doctolib in several new markets.
Doctolib is looking for a Senior Machine Learning Engineer to join our Machine Learning Engineer team in charge of our patient solutions.
Your responsibilities include but are not limited to:
- Find the right technical solution to solve the product domain goals
- Implement your ideas and test them
- Deploy your algorithms in production guided by our ML platform team
- Measure the uplift and continuously improve your approach
Who you are
You could be our next team mate if you:
- Have analytical skills, are result oriented and user first
- Have 8 years of experience in the domain of machine learning
- Have significant experience in Information Retrieval methods : Learning-to-Rank, Hybrid search, Approximate Nearest Neighbor or other techniques relevant to the domain
- Are proficient in LLM applications: evaluation, tools and best practices
- Have experience with large scale applications in production
Now, it would be fantastic if you:
- Have experience in B2C marketplace.
- Have experience in other ML methodologies : pattern mining, recommendation, experimentation or causal inference.
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 Data&AI Senior Director
- Reference check and Criminal records check
- Offer!
Job details
- Permanent position
- Full Time
- Location: Doctolib Paris office in Levallois Perret
- Work mode: Hybrid 3 days/week in the office
- Start date: asap
- Remuneration : fix + bonus on objectives (according to your profile)
At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.
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.
To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of!
All information provided is processed by Doctolib for application management. For data processing details, click here.
Please contact [email protected] for inquiries or to exercise your rights.
Top Skills
What We Do
Since Doctolib's creation in 2013, we have had one purpose: strive for a healthier world.
1. We aim to improve the daily lives of care teams by providing them with a new generation of technologies and services.
2. We aim to improve health for all, by offering a fast and frictionless journey for all care episodes, creating new ways for people to receive care and empowering them to become actors of their health.
At Doctolib, we are honored to work in the healthcare field and we believe that innovation in healthcare should be handled differently. We apply 4 guiding principles in everything we do:
1. We create helpful solutions for care teams and people.
2. We serve everyone equally and create well-designed and accessible technologies.
3. We team up with our users to strive for a healthier world and act as one team.
4. We protect our users' privacy. It’s their health, their data.
To achieve our purpose, we are assembling a team dedicated to improving healthcare, with a human-centric approach and an entrepreneurial mindset.
www.doctolib.com
