Job Description
At Sword, we’re building AI to heal billions and unlock humanity’s full potential.
Key Responsibilities
- 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.
Requirements
- 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.
Ready to Apply?
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