Senior Staff Machine Learning Engineer – Clinical – AI Teams (x/f/m)

Responsibilities

We are representing a confidential healthcare technology organization seeking a Senior Staff Machine Learning Engineer to lead the technical direction of AI systems that enhance clinical decision-making and patient care. You'll tackle complex problems in healthcare AI, from building voice-powered clinical assistants to establishing LLM evaluation frameworks that ensure safety and efficacy. This role combines deep R&D with strategic technical leadership, shaping how AI is deployed in regulated healthcare environments.

Technical Strategy & Architecture

• Own the long-term technical roadmap for clinical ML systems, from model architecture selection to production deployment patterns
• Drive strategic build vs. buy decisions, balancing custom development with foundation model APIs
• Define standards for safe rollout in healthcare contexts: shadow testing, staged deployment, and human-in-the-loop workflows

End-to-End ML Delivery

• Lead design and implementation of LLM-powered clinical agents (consultation summarization, clinical coding, evidence-grounded recommendations)
• Establish rigorous evaluation frameworks using real-world clinical datasets, ensuring outputs meet clinical accuracy and safety standards
• Build production infrastructure: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability
• Define a bold strategy for online and offline performance objectives to reach new levels of healthcare professional satisfaction

Leadership & Impact

• Mentor Staff or Senior ML Engineers and Applied Scientists, elevating technical standards across the organization
• Lead cross-functional initiatives spanning Product, Medical Affairs, Legal, and Compliance teams
• Translate clinical needs into research questions and production systems that measurably improve patient outcomes
• Partner with medical, legal, and compliance teams to meet EU regulatory expectations (e.g., GDPR, MDR, upcoming EU AI Act) and market standards

What We're Looking For

Our talent team is seeking candidates with the following profile:

• 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives
• PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)
• Deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning
• Expert-level proficiency in Python, PyTorch/Transformers for training, vLLM or similar for inference with a track record deploying ML systems in production (AWS/GCP)
• Exceptional communication skills with the ability to align diverse stakeholders and explain complex technical decisions

Additional qualifications that would strengthen your candidacy:

• 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

How We Work With You

When you apply through Get A Job.ai, our recruiting team will screen your application and qualifications. If there's a strong match, we'll conduct an initial conversation to understand your background and career goals. We'll then submit qualified candidates to our client for consideration. Please do not contact the client directly—all communication should flow through Get A Job.ai to ensure a smooth process for everyone involved.

The client's interview process includes: recruiter screen, hiring manager interview, behavioral interview, technical questions, technical case study, and at least one reference check.

This is a permanent, full-time position based in Paris, France with a hybrid work mode (3 days per week in the office). The start date is as soon as possible.

Pay

Compensation details will be discussed during the screening process and are competitive for this senior leadership role in the Paris market.

Get A Job.ai is an equal opportunity recruiter. We evaluate all candidates based on qualifications and experience without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other protected characteristic.