Transform research-grade ML code into production-ready, scalable software systems.
Take ownership of end-to-end ML deployment pipelines including data ingestion, feature engineering, and monitoring.
Work closely with researchers and engineers to translate research objectives into robust production solutions.
Our partner is a company in the AI/ML and financial technology space, operating with a distributed international team. They foster a collaborative, entrepreneurial culture with a focus on innovation and high-impact work.
Take research-quality ML code from R&D and refactor it into production-ready, maintainable, deployable systems.
Own end-to-end deployment of ML pipelines including data ingestion, feature engineering, model serving, and monitoring.
Integrate structured development practices like task management, Git workflows, code reviews, and CI/CD on a fast-moving team.
Nascent builds, expands, and captures opportunity in open markets and permissionless technologies, deploying assets across liquid and long-term strategies. The team is an interdisciplinary group of engineers, quants, and operators who treat skill-building like a sport, with a culture of competition and curiosity.
Build and improve pipelines to parse clinical documents into validated executable modules.
Design and refine target representations for clinical guideline logic.
Develop deterministic validators using static analysis to make ambiguity explicit.
This healthtech team is building a production compiler that converts clinical standards into structured, executable decision logic. The team size is not specified, but the role emphasizes collaboration with clinicians and technical colleagues.
Design and build knowledge graphs and AI agents to structure and utilize knowledge.
Set technical direction and mentor engineers and data scientists.
Collaborate with global teams to turn research into customer features.
Loopio is a software company that builds response management and knowledge management solutions. They are a global, remote-first company with employees across Canada, the UK, the US, and India, known for their supportive culture and award-winning workplace.
Build production pipelines that parse clinical standards into validated, executable modules.
Design and refine representations for guideline logic, including exclusions, precedence, and recommendations.
Evaluate models, develop benchmarks and adversarial cases, and ship successful improvements into production.
This healthtech company builds a production compiler that turns clinical standards into executable, traceable decision logic. The team is research-focused and collaborative, working across disciplines to improve the reliability of clinical decision systems.