Senior AI & ML Engineer
Next Ventures7 months ago
Palo Alto, CA, United States
Remote
Full-time
Junior Level (1-3 years)
Job 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
- Design, build, and enhance clinical and health information extractors and summarization systems
- Work with large volumes of structured and unstructured data to scrape, collect, extract, transform, analyze, and derive insights
- Evaluate system quality and performance to continuously improve models, pipelines, and outputs
- Expand and refine a clinical knowledge graph using data-driven insights
- Build and maintain supporting data, AI, and ML infrastructure and automation
- Develop and deploy secure, production-grade software while ensuring confidentiality, integrity, and availability
- Ensure systems and processes comply with applicable security and privacy standards (e.g., HIPAA, SOC 2)
- Participate in a rotating on-call schedule to support system reliability and uptime
What We’re Looking For
- 7+ years of full-time (non-internship, non-contract) experience in AI/ML engineering, data engineering, or full-stack software engineering
- Strong software engineering fundamentals and experience building production systems
- Hands-on experience with AI/ML systems, including NLP and data-driven pipelines
- Comfort working with complex, large-scale datasets and data-intensive applications
- Strong problem-solving skills and attention to detail
- Experience in healthcare, clinical, or medical data environments is a plus but not required
Required Skills
Data Engineering
Software Development
Knowledge Graph
NLP
System Design
Full-Stack Software Engineering
Model Evaluation
Production Systems
Data Transformation
Security and Privacy Compliance
AI/ML Engineering
Data Analysis