Machine Learning Research Engineer
Stockholm · Onsite · Full-time
Everi Labs accelerates the complete documentation workflow for specialty clinics, replacing work that's still done manually across disconnected tools. As an ML Research Engineer, you'll invent the methods behind document understanding, cross-document reasoning, and compliance validation and ship them to production. Working on real high-stakes clinical data, you'll see exactly where today's models break down, and get to solve problems clinics depend on every day.
Core responsibilities may include
- Invent novel ML methods for document understanding, cross-document reasoning, and compliance validation, and own them from research through production.
- Find where current methods fail on real claims, appeals, and payer rules, and design approaches that hold up where they don't.
- Build methods that generalize across diverse document types, payers, and rule sets, and run reliably at scale.
- Advance how the platform validates documentation against CMS rules, extracts structured data across documents, and generates audit-ready, fully traceable output.
Technical requirements
- Proficient in Python and the modern ML stack (PyTorch/JAX, experiment tooling), with experience taking models from research to production.
- Solid grounding in modern NLP and language models, training, fine-tuning, evaluation.
- Experience with document understanding, information extraction, or retrieval.
- Strong track record applying frontier techniques to hard, open-ended problems.
Nice to have
- A track record of building with LLMs, prompt engineering, structured-output generation, and getting models to produce trustworthy output.
- Experience with document AI, information extraction, or retrieval.
- Publications at top conferences or journals.
- Prior work in healthcare, insurance, or another regulated, document-heavy domain.
Why Everi Labs
- Meaningful impact in a backed, fast-growing company.
- Real-world impact: your research ships to clinics and shapes how they get paid and survive audits.
- Work on the full arc, from novel method to production system used every day.
- Direct influence on product direction and company trajectory as an early team member.
Don't tick every box? Apply anyway. If you can push the methods forward and care about the people relying on what you ship, we want to hear from you.