Remote Senior Machine Learning Engineer

Summary

As a Senior Machine Learning Engineer at Artera, you will work with a team to develop AI-based biomarkers for cancer therapy using digital imagery and clinical data. Responsibilities include leading technical efforts, designing computer vision models, aiding in product launch, researching machine learning algorithms, and contributing to publications. Education requirements are 3+ years of industry experience using PyTorch, 2+ years as a technical lead, and experience communicating ML details to non-technical collaborators. The base salary is competitive and commensurate with experience, qualifications, and other factors. Benefits include equity, 401k matching, unlimited PTO, and more.

Requirements

• 3+ years of industry experience using PyTorch
• 2+ years of experience as a technical lead
• Experience launching and maintaining products in a production environment
• Experience communicating technical (ML) details to a cross-functional team of non-technical collaborators

Responsibilities

• Leading the technical effort of developing novel biomarkers alongside fellow ML scientists, engineers, biostatisticians, and scientific directors
• Design and develop innovative computer vision models that predict patient outcomes and responses to therapy
• 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
• Help grow and mentor a team of machine learning scientists and engineers

Benefits

• Equity
• 401k matching
• Unlimited paid time off (PTO)