Senior Machine Learning Engineer

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.

You'll work at the intersection of machine learning and healthcare, creating models that can understand multimodal inputs (text, vision and voice) and reason through complex clinical scenarios.

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.

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):

• Design an evaluation framework and prepare datasets for the tasks we're solving
• Benchmark a baseline model against open-source and proprietary models
• Scope a strategy to develop a model that reaches our performance targets
• Lead experiments and report results
• Deploy your model in production guided by our ML platform team

Who you are

Before you read on, if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

You could be our next team mate if you have:

• Ph.D. degree (preferred) or MSc in Computer Science, Machine Learning, Computational Medicine, or a related field
• At least 5 years of experience working with deep learning models (including training), in particular computer vision and language models, voice is a plus
• Track record of deploying models in production (with active users), with high safety requirements, ideally in the medical domain
• Collaborative and organized mindset: collaborate with other members of your team and medical experts. Ready to have ownership on projects, taking into account team dependencies and timelines, making progress step by step.
• Proficiency with deep learning frameworks such as PyTorch, or JAX

Now, it would be fantastic if you have:

• Experience with medical data and healthcare workflows
• Publications as first author in top-tier AI/ML conferences such as NeurIPS, ICML, CVPR, ECCV, ICLR, ACL, EMNLP, or relevant medical informatics venues

What We Offer

• Free comprehensive 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
• 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 abroad 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
• Lunch voucher with Swile card
• Relocation support for international mobilities

The interview process

• HR Screen
• Technical Deep Dive
• System Design
• Behavioral Interview
• At least one Reference check and Criminal background check

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

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
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