Senior AI/ML Engineer
Next Ventures · next-ventures.com
Palo AltoSenior7+ yrs
The job in short
Machine learning engineering.
NLPClinicalSOCMachine learning
Details
- Found
- 8 d ago · posted 2026-01-22
- Location as listed
- Palo Alto, California, United States
- Role
- Machine Learning / AI Engineer
- Source
- The company’s own careers site
Full description
About the Role
We are seeking a Senior Data / AI / ML Software Engineer with 7+ years of experience building data-intensive systems. This role is ideal for someone who enjoys designing and improving core platform components at the intersection of software engineering, AI/ML/NLP, and data engineering.
You will contribute to a clinical data intelligence platform that supports applications used daily by clinicians. Experience in healthcare or medical domains is a plus, but not required.
What You’ll Do
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Design, build, and enhance clinical and health information extractors and summarization systems
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Work with large volumes of structured and unstructured data to scrape, collect, extract, transform, analyze, and derive insights
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Evaluate system quality and performance to continuously improve models, pipelines, and outputs
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Expand and refine a clinical knowledge graph using data-driven insights
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Build and maintain supporting data, AI, and ML infrastructure and automation
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Develop and deploy secure, production-grade software while ensuring confidentiality, integrity, and availability
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Ensure systems and processes comply with applicable security and privacy standards (e.g., HIPAA, SOC 2)
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Participate in a rotating on-call schedule to support system reliability and uptime
What We’re Looking For
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7+ years of full-time (non-internship, non-contract) experience in AI/ML engineering, data engineering, or full-stack software engineering
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Strong software engineering fundamentals and experience building production systems
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Hands-on experience with AI/ML systems, including NLP and data-driven pipelines
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Comfort working with complex, large-scale datasets and data-intensive applications
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Strong problem-solving skills and attention to detail
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Experience in healthcare, clinical, or medical data environments is a plus but not required
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