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Machine Learning Engineer

Machine Learning Engineer

Crossing HurdlesOmaha, NE, United States
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Overview

Crossing Hurdles is a recruitment firm that assists our clients to hire best talent.

About the Company : It is a Cognitive AI platform that automates low-level cognitive tasks involving clinical data and knowledge - tasks that underlie patient care, revenue cycle, clinical research, and population health.

Location

Remote-first (U.S. only), core hours in Pacific time. Bay Area team meets in our San Francisco office weekly; relocation encouraged.

About Role

We’re looking for a Senior Data / AI / ML Engineer (7+ years) with expertise in data-intensive systems, strong software engineering skills, and hands-on experience in AI / ML / NLP to help build and scale our clinical data intelligence platform.

What you\'ll do

  • Build and improve clinical / health information extractors and summarizers that directly power applications used by clinicians daily.
  • Scrape, collect, extract, transform, query, analyze, mine, and distill structured / unstructured data to evaluate system quality and performance, draw insights, and expand / refine our clinical knowledge graph.
  • Build and improve supporting data / AI / ML systems and automations.
  • Develop and deploy secure code, maintaining confidentiality, integrity, and availability of information systems and processes in compliance with HIPAA and SOC 2.
  • Participate in rotating on-call duties to ensure system uptime.

Must-Have Qualifications

  • Strong expertise in Python and SQL , with proven ability to work with large and messy datasets.
  • Hands-on experience in Machine Learning / NLP , particularly with classifiers, summarization, knowledge graphs, or LLMs (GenAI / LLM Ops experience is a plus).
  • A solid track record of building production-ready, data-intensive systems (beyond research or prototypes).
  • Previous startup or early-stage experience , with the ability to thrive in a fast-paced, remote-first, and evolving environment.
  • Full-stack capability – primarily backend-focused, but comfortable making quick changes in React / TypeScript when needed.
  • High adaptability , able to handle open-ended problems, shifting priorities, and ship iteratively.
  • Strong software engineering fundamentals , with a balance of quick problem-solving and building robust, scalable solutions.

    • Nice-to-Have Qualifications

  • Background in healthcare or clinical data .
  • An advanced degree (MSc / PhD) in CS, Engineering, or another STEM discipline from a top university.
  • Prior experience collaborating directly with clinicians or domain experts .

    • Why candidates should join

  • Make an impact : Help clinicians save hours per patient by turning raw health data into actionable insights.
  • Work on cutting-edge AI : Apply LLMs, knowledge graphs, and advanced NLP to real-world healthcare problems.
  • Grow with us : Join a fast-moving Series A startup (~20 people) where your work ships quickly and shapes the product.

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    Machine Learning Engineer • Omaha, NE, United States