Machine Learning Engineer

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.