Senior AI/ML Engineer

Next Ventures; Palo Alto (CA); On-site; USD 130,000 - 160,000; Full time

Job summary

A technology firm is seeking a Senior Data / AI / ML Software Engineer in Palo Alto, California. The ideal candidate will have over 7 years of experience in AI/ML engineering and strong software fundamentals. Responsibilities include designing data extractors, working with large datasets, and contributing to healthcare data intelligence applications. Experience in medical domains is a plus. This is a full-time position offering opportunities to work in a dynamic and impactful environment.

Qualifications

• 7+ years of full-time experience in AI/ML engineering, data engineering, or full-stack software engineering.
• Strong experience in building production systems.
• Hands-on experience with complex data-intensive applications.

Responsibilities

• Design, build, and enhance clinical and health information extractors.
• Work with large volumes of structured and unstructured data.
• Evaluate system quality to improve models and pipelines.
• Expand a clinical knowledge graph using data-driven insights.
• Build and maintain AI and ML infrastructure.
• Develop secure, production-grade software.
• Ensure compliance with security and privacy standards.

Skills

AI/ML engineering

Data engineering

Software engineering fundamentals

NLP

Problem-solving skills

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