Senior Machine Learning Engineer - Applied AI & LLMs (x/f/m)
remotesenior
via Ashby
About this role
YOUR IMPACT
We are looking for a Senior Machine Learning Engineer to join the ML Engineering team in Patient Solutions.
Your mission will be to improve how people access quality care and manage their health over time by building and leading AI and ML systems that create real, measurable impact. You will work in a feature team developing intelligent patient-facing solutions, from smart practitioner discovery to long-term care management, playing a key technical role in shaping how we scale our AI capabilities across Europe.
Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.
WHAT YOU'LL DO
Your responsibilities include but are not limited to:…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: typescript, python, java, kotlin, swift…
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible. We factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
typescriptpythonjavakotlinswiftreactrailsmlflowteams