Senior ML Engineer

📋 Description

• Own machine learning projects end-to-end, from problem exploration and experimentation through
• Design and build reliable agentic LLM systems using multi-step workflows, tool calling, retrieval
• Develop robust evaluation strategies, including evaluation datasets, offline and online testing
• Improve model performance using evidence-driven approaches such as prompt engineering, retrieval
• Work across the full machine learning lifecycle, including data preparation, model adaptation
• Partner with Product, Clinical, and Engineering stakeholders to translate clinical requirements

🎯 Requirements

• Proven experience shipping production machine learning systems that are relied upon by real users
• Hands-on experience developing and deploying LLM-based systems, including prompting, retrieval
• Strong evaluation expertise, with experience building evaluation datasets, frameworks, testing
• Strong foundations in machine learning and the ability to select appropriate approaches based on
• Experience working with ambiguous or loosely defined problems and transforming them into reliable
• Strong software engineering skills, including writing production-quality code, working with

🎁 Benefits

• Competitive compensation adjusted according to the local market and cost of living in the European
• Total compensation may include base salary, variable compensation, bonuses or incentives, and
• Compensation is reviewed based on skills, qualifications, experience, location, market conditions
• Opportunity for compensation growth as your responsibilities and contribution increase.
• Country-specific benefits and perks aligned with local regulations and market practices.
• Opportunity to work on high-impact AI systems addressing complex healthcare challenges.