Crossing Hurdles is a global recruitment firm partnering with, a fast-growing Clinical Data Intelligence platform built on 12+ years of advanced research in Machine Reading and Knowledge Graph technology. It automates the low-level cognitive workflows that slow down clinicians, researchers, data abstractors, and care teams helping healthcare systems operate faster, more accurately, and more efficiently.
Role : Senior Data / AI / ML Software Engineer
Location : Remote US
Compensation : $150K$300K (level & location based) + 0.1%0.5% equity
YOE : 7+ years in AI / ML or full-stack SWE
Visa : H1B transfers + possible new H1B sponsorship
Type : Full-time
Why you should consider this
- Build the intelligence layer behind a platform transforming clinical workflows at scale.
- Work with cutting-edge NLP, Machine Reading, and Knowledge Graph technologies .
- High-ownership role in a small, senior, research-driven engineering team (20 people).
- Join a company backed by $15M+ funding, growing rapidly in the healthcare AI space.
- Direct real-world impact : your work will be used daily by clinicians and care teams.
- Remote-first, high-autonomy culture with strong technical leadership.
About the role
Build and enhance clinical information extractors, summarizers, and automation systems.Scrape, process, transform, query, and analyze structured / unstructured clinical data.Evaluate system performance and refine the clinical knowledge graph.Develop secure, compliant code aligned with HIPAA & SOC 2.Contribute to core data / AI / ML pipelines and infrastructure.Participate in an on-call rotation to ensure system uptime.Requirements / Who is the ideal fit
7+ years of experience in AI / ML engineering or full-stack SWE.Deep hands-on experience with NLP / LLMs, data-intensive systems, and ML pipeline s.Strong expertise in Python, SQL, PyTorch, GCP, FastAPI, Django, BigQuery, dbt, Pandas .Experience working with large, messy, clinical / healthcare datasets (nice-to-have).Familiarity with secure coding, privacy, and compliance standards.Must be able to work Pacific Time core hours; US-based only