About this role
Research Engineer at Assort Health in San Francisco is an on-site role for building healthcare AI models and pipelines. This position suits an experienced machine learning professional who wants to develop production-grade conversational agents for the healthcare sector.
Role Overview
Assort Health seeks a Research Engineer in San Francisco to develop core conversational models and infrastructure for patient interactions. The organization recently raised a Series C funding round, reached a significant valuation, and operates as a recognized healthcare technology provider. The incoming engineer will own technical initiatives from concept through production deployment, focusing on reliability, task precision, and operational efficiency.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Assort Health builds continuous conversation AI agents for patient interactions across the healthcare industry. The company maintains a proprietary specialty dataset comprising millions of patient interactions, care protocols, and decision pathways. Recognized on the Forbes Cloud 100 and Enterprise Tech 30 lists, the company has expanded significantly following substantial venture funding and a valuation of $1.2 billion.
How to Apply
Candidates should review the full job description and submit applications directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of the Research Engineer role?
The position is based in San Francisco.
What is the salary range for this position?
The salary ranges from $190,000 to $240,000, and the package includes employee stock options.
How many years of experience are required?
Applicants need a minimum of 5 years of total professional experience, with at least 3 years in AI or machine learning engineering or research.
Is a PhD required to apply?
No, a PhD is not required. The company evaluates candidates based on demonstrated research ability and the quality of models, systems, and experiments built.
What programming language and tools are expected?
Fluency in Python and familiarity with modern machine learning tooling for training, evaluation, inference, and data pipelines are required.
