Lead Applied AI Engineer: Production ML for Healthcare

present of AI; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Luminai is seeking an engineer to run experiments on AI systems, build evaluation frameworks, and fine-tune models for a live product used in critical hospital workflows. The role requires shipping production ML, strong algorithm and system design grounding, and the ability to mentor a team while setting direction on ambiguous problems.

The position emphasizes measuring model performance, designing evaluations, and monitoring to ensure reliability in a regulated healthcare setting.

Qualifications

• Several years of shipping production code for ML systems.
• Strong grounding in algorithms and system design.
• Judgment to set technical direction on ambiguous problems.
• Experience leading and unblocking other engineers.
• Hands-on model work, measurement-oriented evaluation and monitoring.
• Experience shipping models to production and exposure to distributed systems.

Responsibilities

• Run experiments on AI systems and build evaluation frameworks.
• Fine-tune models and translate results into a live product for hospital workflows.
• Mentor and guide other engineers, helping unblock technical challenges.
• Define and implement monitoring to ensure model reliability in production.
• Shape technical direction on ambiguous problems in a regulated healthcare context.

Skills

Production code shipping

Evaluation design

Observability

Distributed systems

Mentoring

Fine-tuning models

Job description

Luminai is seeking an engineer to run experiments on AI systems, build evaluation frameworks, and fine-tune models for a live product used in critical hospital workflows. The role requires shipping production ML, strong algorithm and system design grounding, and the ability to mentor a team while setting direction on ambiguous problems.

The position emphasizes measuring model performance, designing evaluations, and monitoring to ensure reliability in a regulated healthcare setting.