Machine Learning Engineer (Model Dev)

Artera; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Artera seeks a machine learning engineer to develop AI biomarkers that improve cancer care, working with ML scientists, clinicians, biostatistics, product and regulatory teams. You will contribute across the model-development lifecycle—from prototyping and experimentation to validation and production deployment—building models from digital pathology and clinical data.

Emphasis on robustness across scanners and sites and understanding model behavior.

Skills

Machine Learning

Biomedical AI

Model Deployment

Digital Pathology

Data Analysis

Cross-functional Collaboration

Job description

About Us: Artera is an artificial intelligence company dedicated to transforming cancer care. We’ve developed foundation models that analyze clinical and pathology data, generating actionable insights that guide therapy selection and improve outcomes for cancer patients. By continuously improving these models, we aim to uncover the biological mechanisms driving cancer progression. We're looking for a machine learning engineer to help develop AI biomarkers that improve cancer care. You'll work closely with experienced ML scientists and engineers, as well as clinical, biostatistics, product, and regulatory partners, across the model-development lifecycle, from prototyping and experimentation through validation and production deployment. You'll contribute to challenging problems in medical AI, including building models from digital pathology and clinical data, improving robustness across scanners and sites, understanding model behavior, and advancing our pathology foundation models.

Equal Employee Opportunity:At Artera, we value bringing together individuals from diverse backgrounds to develop new andinnovative solutions for patients and physicians. As an equal opportunity employer, we do notdiscriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy),physical or mental disability, medical condition, genetic information gender identity orexpression, sexual orientation, marital status, protected veteran status, or any other legallyprotected characteristic.