Lead ML Research Engineer

SWORD Health
Summary
Join Sword Health, a Forbes Best Startup Employer, and help build a pain-free world powered by AI. As a senior AI researcher, you will guide ML engineers through complex projects, define new research directions, serve as a technical anchor for the AI team, and publish research findings. You will bridge the gap between research and implementation, collaborating with product, data, and engineering teams. This role requires a PhD in a relevant field, 5+ years of AI/ML experience, a publication record, and deep GenAI expertise. Sword Health offers a stimulating environment, career development, competitive salary, flexible hours, unlimited vacation, and access to a health and well-being program. The position is remote or hybrid, based in Portugal, and requires a valid EU visa.
Requirements
- PhD in Computer Science, Machine Learning, or related field
- 5+ years of experience in AI/ML in industry with demonstrable technical contributions
- Publication record or demonstrable research output in machine learning or AI
- Deep technical expertise in GenAI (LLMs, generative models, speech, etc.)
- Experience leading technical teams through complex research challenges in fast-paced, product-focused environments
- Proven ability to translate research concepts into practical implementations
- Good coding skills in Python and familiarity with modern ML frameworks (PyTorch, TensorFlow, etc.)
- Experience with the full ML lifecycle, from ideation to deployment
- Strong communication skills with the ability to explain complex technical concepts to diverse audiences
- Strong product sense and impeccable ability to do research with strong alignment towards business objectives
Responsibilities
- Guide ML Engineers and ML Research Engineers through technically complex projects such as LLM continued pre-training, architectural innovations, or adapting and training open-source models (TTS, STT, etc.)
- Identify and define new research directions that align with Swordβs strategic goals
- Serve as the technical anchor for the AI team, providing expertise on cutting-edge approaches and implementation strategies
- Author and publish technical papers and blog posts to document research findings
- Stay at the forefront of GenAI advancements and proactively bring this knowledge to the team through regular knowledge sharing sessions
- Bridge the gap between research innovations and practical implementations by collaborating with Product, Data & Engineering teams
- Mentor team members to grow their technical and research capabilities
Preferred Qualifications
- Contributions to open-source AI/ML projects
- Experience applying research in healthcare or related domains
- Familiarity with MLOps and experiment tracking tools
- Experience establishing research collaborations with academic institutions
- Passion for healthcare technology and its potential to improve lives
Benefits
- A stimulating, fast-paced environment with lots of room for creativity and ownership
- Career development and growth, with a competitive salary
- The opportunity to work with a talented team on cutting-edge AI/ML applications that have the potential to transform 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
- Health, dental and vision insurance
- Meal allowance
- Equity shares
- Remote work allowance
- Flexible working hours
- Work from home
- Discretionary vacation
- Snacks and beverages
- English class