Crossing Hurdles
Senior Data/AI/ML Software Engineer
Crossing Hurdles, San Francisco, California, United States, 94199
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 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.
#J-18808-Ljbffr
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 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.
#J-18808-Ljbffr