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Senior Data and AI/ML Software Engineer
2 weeks ago
Crossing Hurdles is a global recruitment firm collaborating with a rapidly growing Clinical Data Intelligence platform. This platform leverages over 12 years of cutting-edge research in Machine Reading and Knowledge Graph technology, designed to streamline the cognitive workflows of clinicians, researchers, data abstractors, and care teams. Our mission is to help healthcare systems operate with greater speed, accuracy, and efficiency.
Position: Senior Data and AI/ML Software Engineer
Location: Remote US
Compensation: $150K-$300K (adjusted for level & location) + 0.1%-0.5% equity
Years of Experience: 7+ years in AI/ML or full-stack software engineering
Visa: H1B transfers + potential new H1B sponsorship available
Job Type: Full-time
Why You Should Apply:
- Be a key player in building the intelligence layer behind a transformative platform that is improving clinical workflows globally.
- Engage with advanced NLP, Machine Reading, and Knowledge Graph technologies.
- Experience a high-ownership role in a small, senior, research-driven engineering team of 20 individuals.
- Join a company that has raised $15M+ in funding and is rapidly expanding its footprint in the healthcare AI landscape.
- Make a direct impact: your contributions will be utilized every day by clinicians and care teams.
- Enjoy a remote-first culture that promotes autonomy and is guided by strong technical leadership.
Key Responsibilities:
- Develop and improve clinical information extractors, summarizers, and automation systems.
- Scrape, process, transform, query, and analyze both structured and unstructured clinical data.
- Assess system performance and enhance the clinical knowledge graph.
- Create secure and compliant code that adheres to HIPAA & SOC 2 standards.
- Contribute to core data/AI/ML pipelines and infrastructure.
- Participate in an on-call rotation to maintain system uptime.
Ideal Candidate Profile:
- 7+ years of experience in AI/ML engineering or full-stack software development.
- In-depth hands-on expertise in NLP/LLMs, data-intensive systems, and ML pipelines.
- Proficient in Python, SQL, PyTorch, GCP, FastAPI, Django, BigQuery, dbt, and Pandas.
- Experience with large and complex clinical/healthcare datasets is a plus.
- Knowledge of secure coding practices, privacy, and compliance standards.
- Ability to work during Pacific Time core hours; U.S.-based applicants only.
