Senior Data/AI/ML Software Engineer

5 days ago


San Francisco, United States Crossing Hurdles Full time

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 EngineerLocation: Remote USCompensation: $150K–$300K (level & location based) + 0.1%–0.5% equityYOE: 7+ years in AI/ML or full-stack SWEVisa: H1B transfers + possible new H1B sponsorshipType: Full-timeWhy you should consider thisBuild 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 roleBuild 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 fit7+ years of experience in AI/ML engineering or full-stack SWE.Deep hands-on experience with NLP/LLMs, data-intensive systems, and ML pipelines.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.



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