Senior Machine Learning Engineer - Llm- ai Teams - m H/F Doctolib

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 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

Who you are

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

The interview process

- HR Screen
- Technical Deep Dive
- System Design
- Behavioral Interview
- Final interview with the DS Director
- Reference check and criminal records 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)

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles! 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 ****@****.** for inquiries or to exercise your rights.