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 solutions that will enable us to create an AI medical assistant that will support the Healthcare Professionals in their day to day job.
In this role, you'll have the opportunity to work with a team of talented Machine Learning Engineers, software engineers and healthcare professionals to develop and deploy AI models that will have a real impact on people's lives.
Doctolib is looking for a Senior Machine Learning Engineer to join our dedicated feature team in charge of shaping the new consultation experience powered by a medical assistant.
Let’s make a direct impact of your work with easy access to final users (practitioners) or subject matter experts to empower our Clinical Product with AI.
Your responsibilities include but are not limited to:
- Create, find or adapt model architecture, annotation or validation strategies to improve our speech recognition, summarization and medical data structuration engines
- 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
You could be our next team mate if you have:
- Master's or Ph.D. degree in Computer Science, Data Science, or a related field.
- At least 5 years of experience working on Language Models, including pre-trained models like GPT (Generative Pre-trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers).
- Proven track record of working on NLP projects, with a focus on LLM and RAG frameworks.
- Experience with deep learning frameworks such as TensorFlow or PyTorch for training and fine-tuning LLM models.
If you possess these qualifications and have a passion for pushing the boundaries of LLM, NLP and RAG frameworks, we invite you to apply for this Senior Machine Learning Engineer position.
What we offer- Free health insurance for you and your children
- Parent Care Program: receive one additional month of leave on top of the legal parental leave
- Free mental health and coaching services through 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
- Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
- Work Council subsidy to refund part of sport club membership or creative class
- Up to 14 days of RTT
- A subsidy from the work council to refund part of the membership to a sport club or a creative class
- Lunch voucher with Swile card
- HR Screen
- Technical Deep Dive
- System Design
- Behavioral Interview
- Final interview with the DS Director
- Reference check and criminal records check
- Offer!
- 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)
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
