Staff ML Engineer
New
Austria, Belgium, Denmark, France, Germany, Ireland, Italy, Netherlands, Spain, Sweden, Switzerland, United KingdomFull-TimeStaff
Salary not disclosed
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Job Details
- Required Skills
- PythonMachine LearningPrompt EngineeringLLMDistributed Systems
Requirements
- Deep expertise in production ML systems with a track record of solving complex technical problems.
- Production LLM experience - You’ve fine-tuned, evaluated, and deployed LLMs in production environments.
- Experience with preference optimization - You’ve implemented techniques like RLHF, DPO, or similar approaches.
- Strong ML fundamentals - Design rigorous evaluation frameworks and make principled technical tradeoffs.
- End-to-end ownership - Taken ambiguous, complex problems from initial exploration through production.
- Excellent engineering skills - Write production-quality code, understand distributed systems, and debug complex ML pipelines.
- Communication and influence - Drive technical decisions and explain complex tradeoffs to stakeholders.
Responsibilities
- Own complex ML problems end-to-end - Take on the hardest technical challenges from initial exploration through production deployment and real-world iteration.
- Drive technical strategy in your domain - Define how we approach model development, evaluation, and optimization for clinical AI applications.
- Build and optimize production LLM systems - Design and implement fine-tuning pipelines, preference optimization (RLHF, DPO), and rigorous evaluation frameworks.
- Work deeply across the full AI stack - From data preparation and model training through deployment, monitoring, and iteration in production.
- Influence across teams - Partner with Product, Clinical, and Engineering teams to shape technical decisions.
- Raise the technical bar - Mentor engineers, establish best practices, and help define excellence in ML engineering.
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