Engineering AI/ML Engineer, Companion Palo Alto / Remote →

CAN; Palo Alto (CA); Hybrid; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

CAN is seeking an AI/ML Engineer for the Companion team in Palo Alto with remote options. The role focuses on designing and deploying models for care-intent classification, triage routing, and personalized health nudges within regulated healthcare contexts.

You will build retrieval-augmented generation pipelines, collaborate with clinical advisors, and monitor production performance to continuously improve model safety and effectiveness.

Qualifikationen

• 3+ years of applied ML engineering experience.
• Experience with production LLM or NLP systems.
• Proficiency in Python and one or more ML frameworks (PyTorch, JAX, or equivalent).
• Experience with embedding models, vector search, and RAG architectures.
• Comfort working in regulated, safety-critical domains where model errors have real consequences.
• Strong collaboration instincts — you seek clinical input before shipping, not after.

Aufgaben

• Design and train models for care-intent classification, symptom triage routing, and personalised health nudges.
• Build and maintain retrieval-augmented generation pipelines grounded in patient records and clinical guidelines.
• Collaborate with clinical advisors to evaluate model outputs for safety, accuracy, and appropriate scope.
• Instrument model performance in production and own the feedback loop from patient interactions to model improvement.
• Develop evaluation frameworks that measure clinical appropriateness alongside standard ML metrics.

Kenntnisse

ML engineering

Python

PyTorch/JAX

Embedding models

Vector search

RAG architectures

Regulated domains

Collaboration

Jobbeschreibung

# AI/ML Engineer, Companion Palo Alto / RemoteCAN Companion is an always-on care presence for patients between clinical visits. As an AI/ML Engineer on the Companion team you will build and improve the models, retrieval systems, and inference pipelines that make Companion feel genuinely helpful — not just responsive. Your work will directly affect how patients experience their care journey at home.Apply nowSee all rolesThe role## What you'll do.### Responsibilities* Design and train models for care-intent classification, symptom triage routing, and personalised health nudges.* Build and maintain retrieval-augmented generation pipelines grounded in patient records and clinical guidelines.* Collaborate with clinical advisors to evaluate model outputs for safety, accuracy, and appropriate scope.* Instrument model performance in production and own the feedback loop from patient interactions to model improvement.* Develop evaluation frameworks that measure clinical appropriateness alongside standard ML metrics.### What we're looking for* 3+ years of applied ML engineering experience, including at least one production LLM or NLP system.* Proficiency in Python and one or more ML frameworks (PyTorch, JAX, or equivalent).* Experience with embedding models, vector search, and RAG architectures.* Comfort working in regulated, safety-critical domains where model errors have real consequences.* Strong collaboration instincts — you seek clinical input before shipping, not after.Details## Role details.TeamEngineeringLocationPalo Alto / [e-mail] by writing to us at [e-mail] with the subject line *Application: AI/ML Engineer, Companion*. A real person reads every note.