Machine learning engineer in applied AI & LLMs

Doctolib; Berlin; Hybrid; EUR 140,000 - 190,000; Full time

Benefits offered by this job

Deutschlandticket

Vacation days

Hybrid/work policy

Health insurance

Pension scheme

Parental benefits

DoctoGrowth

Mental health services

Urban Sports Club

Meal benefit

Relocation support

Flexible work policy

Job summary

Doctolib is seeking a Principal Machine Learning Engineer to join the DS & AI organization in Berlin. This role multiplies impact across Clinical, Productivity, Phone Assistant and ASR, owning cross-cutting challenges and shaping how product and AI teams build agentic solutions.

You will standardize ML evaluation, drive production infra patterns, and influence architectural decisions at scale, impacting healthcare professionals and patients across Europe.

Qualifications

• 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading multi-team initiatives.
• Deep expertise in two or more: clinical NLP, LLM fine-tuning/evaluation, ASR, RAG, or reinforcement learning.
• Expert in Python, PyTorch/Transformers; proven production ML deployment experience (AWS/GCP).
• PhD in Computer Science, AI, Statistics, or equivalent research experience; strong communication.

Responsibilities

• Own cross-team ML architecture decisions from model selection to production deployment.
• Define and drive adoption of rigorous evaluation frameworks across AI teams.
• Establish shared production infrastructure patterns for AI (versioning, guardrails, observability).
• Lead technical design of agentic solutions and Doctolib AI capabilities.
• Elevate DS & AI standards by guiding Staff/Senior ML Engineers through reviews.
• Partner with Product/Legal/Compliance to ensure safe rollout and GDPR/MDR/EU AI Act compliance.

Skills

Python

PyTorch/Transformers

vLLM

ML architecture

Education

PhD in CS/AI or related field

Tools

AWS

GCP

Job description

Описание

We are looking for a Principal Machine Learning Engineer to join the DS & AI organization at Doctolib. This is a transversal force multiplier role operating across all AI teams: Clinical, Productivity, Phone Assistant and ASR. Rather than working within a single feature team, you will own the cross-cutting technical challenges: defining how Doctolib's product and AI teams build agentic solutions, standardizing ML evaluation frameworks, and spreading strong engineering practices across the org. You will unblock teams, shape architecture decisions, and take on the deep technical work that requires senior ML judgment at scale, directly impacting the daily lives of 400,000 healthcare professionals and the health of 80 million patients.

Задачи

• Own cross-team ML architecture decisions, from model selection to production deployment patterns and strategic build vs. buy decisions
• Define and drive adoption of rigorous evaluation frameworks across all AI teams, setting the standard for how Doctolib measures model and agentic performance
• Establish shared production infrastructure patterns for AI: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability
• Lead the technical design of agentic solutions and define how product teams across Doctolib build on top of AI capabilities
• Elevate technical standards across the DS & AI org by influencing Staff and Senior ML Engineers through architecture reviews, technical guidance, and practice propagation
• Partner with Product, Legal, and Compliance teams to ensure safe rollout and meet EU regulatory expectations (GDPR, MDR, EU AI Act)

Требования

• You have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives
• You have deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning
• You are expert in Python, PyTorch/Transformers for training, and vLLM for inference with a track record deploying ML systems in production (AWS/GCP)
• You have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)
• You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions
• Будет плюсом: Publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues
• Experience with EU healthcare regulations (GDPR, MDR, AI Act)
• Prior work with clinical data or healthcare applications

Условия

• A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib
• 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days)
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Company health insurance with great supplementary benefits through our partner Allianz
• Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period)
• The Doctolib Parent Care program, which includes one month additional parental leave and much more
• Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth
• Free mental health and coaching services through our partner Moka.care
• Subsidized sports membership through our partner Urban Sports Club
• A flexible workplace policy offering both hybrid and office-based mode
• Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Relocation support in case of international mobility
• Access to the best AI tools for coding, development and dedicated training