Staff Research ML Engineer (Europe-based/Remote)

• Own complex ML problems end-to-end - Take on the hardest technical challenges (like fine-tuning LLMs to maximize clinical outcomes) 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 for clinical use cases. • Work deeply across the full AI stack - From data preparation and model training through deployment, monitoring, and iteration in production environments. • Influence across teams - Partner with Product, Clinical, and Engineering teams to shape technical decisions and ensure we’re solving the right problems. • Raise the technical bar - Mentor engineers, establish best practices, and help define what excellent ML engineering looks like at Sword. • May lead 1-2 engineers on specific projects, providing technical direction and mentorship.

• Deep expertise in production ML systems - You’ve built and shipped ML systems that users depend on, 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 in production settings. • Strong ML fundamentals - You understand when to use different ML approaches, can design rigorous evaluation frameworks, and make principled technical tradeoffs. • End-to-end ownership - You’ve taken ambiguous, complex problems from initial exploration through production deployment and ongoing iteration. • Excellent engineering skills - You write production-quality code, understand distributed systems, and can debug complex ML pipelines. • Communication and influence - You can drive technical decisions across teams and explain complex tradeoffs to technical and clinical stakeholders.

• A stimulating, fast-paced environment with lots of room for creativity; • A bright future at a promising high-tech startup company; • Career development and growth, with a competitive salary; • The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare; • A flexible environment where you can control your hours (remotely) with unlimited vacation; • Access to our health and well-being program (digital therapist sessions); • Remote or Hybrid work policy; • To get to know more about our Tech Stack, check here .