[Remote] Machine Learning Intern (Summer 2026) at Artera

United States

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Requirements

2+ years of academic or industry experience using PyTorch or TensorFlow
Ability to communicate technical (ML) details to a cross-functional team of non-technical collaborators
Entering the final year of Masters or Phd following the summer of 2026
(Preferred but not required) Hands-on experience with vision-language models (VLMs), including training, fine-tuning, or evaluating multimodal models

Responsibilities

Developing novel biomarkers alongside fellow ML engineers, biostatisticians, and scientific directors
Design and develop innovative computer vision models that predict patient outcomes and responses to therapy
Support and optimize machine learning workflow by enhancing the efficiency of tools, processes, and systems used to develop and deploy AI-based biomarkers
Aid in the productionalization, launch, and monitoring of machine learning products
Research and development of machine learning algorithms that expand product capabilities
Contribute to and drive publications in scientific journals and machine learning conferences

Artera

SaaS digital health messaging integration platform

About Artera

Artera is a compelling workplace due to its critical role in improving healthcare communication, orchestrating over 2.2 billion messages annually across diverse channels like texting, email, and webchat. The company not only facilitates efficient healthcare staff operations and profitability for organizations but also enhances overall patient experience by supporting services in over 109 languages. This broad impact in healthcare through high-level integration with EHRs and third-party vendors positions Artera as a leader in the digital health sector.

Santa Barbara, CaliforniaHeadquarters

2015Year Founded

$148.4MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

201-500Employees