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Senior Data/AI/ML Software Engineer
Senior Data/AI/ML Software EngineerCrossing Hurdles • San Jose, CA, United States
Senior Data / AI / ML Software Engineer

Senior Data / AI / ML Software Engineer

Crossing Hurdles • San Jose, CA, United States
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  • [job_card.full_time]
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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
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