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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.
Job Responsibility:
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
Requirements:
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
Nice to 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 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 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