What we do
Join a team of passionate and hardworking entrepreneurs to transform healthcare! By leveraging advanced AI and machine learning techniques, our Machine Learning Engineer team ensures high accuracy, reliability, and seamless integration of these technologies into existing workflows. This enables us to provide around-the-clock access to healthcare services, ensuring that patients receive the care they need when they need it. Our team is dedicated to continuous improvement, pushing the boundaries of what AI can achieve in the healthcare sector.
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 Machine Learning Engineer, you'll play a critical role in developing and implementing cutting-edge AI/ML-driven features that will power the products daily used by Healthcare Professionals and Patients.In this role, you'll have the opportunity to work with a team of talented Machine Learning Engineers, software engineers, MLOps, healthcare professionals and patients to develop and deploy AI/ML models that will have a real impact on people's lives.You will leverage textual data, from documents or generated by users, to automate or simplify how patients access care.
Also, you will carry out explorations to better understand how users use our product, to orientate the roadmap of Product teams.Your responsibilities include but are not limited to:
- Collaborate with domain experts, software engineers, product and business teams to build the right technical solution to the company challenges
- Identify high impact business opportunities through data exploration, model prototypes and bootstrapping projects.
- Hands-on development, from prototype to production and operation of live machine learning service and pipelines at scaleMeasure the uplift of your approach and continuously improve it
- Mentor and guide other data scientists in the company by promoting best practices, design patterns and thorough documentation
- Regularly present work internally (work together meetings, demos, ...) to other data members or product and business stakeholders.
- Promote Doctolib’s technical excellence through external communication (Medium, conferences, …)
Who you are
You could be our next teammate if you:
- Have 7+ years of significant experience in Machine learning, and a solid knowledge of latest NLP architecture (transformers, LLM)
- Are result-oriented and user first. You don’t give up if your first solution needs iterations. You are able to switch to an analytical mindset when needed.
- Have already deployed models to production environments with technologies like Terraform and a cloud provider.
- Have an appetite for mentoring and helping your teammates upskill
Now, it would be fantastic if you:
- Are at ease to collaborate with MLOps to design systems for scalability and strong production constraints
- Have experience in other ML methodologies : recommendation, experimentation or causal inference.
What we offer
- Free Health Insurance for you & your child(ren)
- A 6-month dedicated onboarding program - the Doctolib Academy
- Continuous training programs on all key competencies (English, soft skills, expertise)
- Transparent internal mobility opportunities you're welcome to apply for
- Up to 14 days of RTT
- Parental care program (1 month off in addition to the legal parental leave and 0,5 days off per child when the school starts)
- Wellbeing program (free mental health and coaching offer with our partner moka.care)
- 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
- Subsidy for lunch and various food offers in our offices
- Work Council subsidy to refund part of sport club membership or creative class
- Bicycle subsidy
- A support for relocation in case of international mobilities and new joiners arriving to France, Germany and Italy from another country
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
- 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 hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.
