AI Research Scientist (Europe/UK – Remote)

What you’ll be doing:

Design and execute research on LLM fine-tuning, alignment, and post-training methods (SFT, RLHF) tailored for clinical and therapeutic domains;
Develop and improve foundational AI models that power our AI agents, spanning language, vision, speech, and multimodal systems;
Contribute to the full model development cycle: dataset curation and annotation, architecture design, training, evaluation, and iteration;
Collaborate across AI Engineering, Product, and Clinical teams to translate research breakthroughs into production systems that deliver patient care;
Work towards long-term ambitious research goals, such as clinical memory, long-horizon planning, and safety validation, while identifying and delivering immediate milestones;
Advance the field by publishing in top-tier AI venues and clinical journals, contributing to Sword’s growing body of peer-reviewed research.

What you need to have:

A PhD in Computer Science, Machine Learning, Natural Language Processing, or a closely related AI field;
Hands-on experience fine-tuning large language models (pre-training, SFT, RLHF, or related post-training techniques);
A strong publication track record in peer-reviewed AI conferences or journals;
Proficiency in Python and deep experience with modern ML frameworks (e.g., PyTorch, JAX);
Demonstrated ability to design rigorous experiments and interpret their results.

What we would love to see:

First-author publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, COLM, CVPR);
Deep expertise in one or more of: large language models, reinforcement learning from human feedback, multimodal learning (vision, speech), or agentic AI systems;
Experience building or contributing to LLM-based agents, including prompt engineering, memory orchestration, or agentic workflows;
A track record of taking research ideas from conception to working systems, including developing and debugging complex ML pipelines;
Industry experience during or after the PhD (e.g., research internships at leading AI labs);
Comfort with ambiguity and a track record of delivering results in fast-moving, high-uncertainty environments where research and product development happen in parallel;
Strong communication skills and a history of effective cross-functional collaboration;
A broader record of research excellence demonstrated through grants, fellowships, patents, or impactful open-source contributions.

Portugal – Sword Benefits & Perks:

Originally posted on Himalayas