Senior Machine Learning Engineer (Model Developer)

Summary

Join Artera, an AI startup developing medical AI tests to personalize cancer therapy, as a Senior Machine Learning Engineer. You will work on the AI Platform team, focusing on building scalable data processing and model training pipelines. Collaborate with model developers, machine learning engineers, and platform engineers to ensure efficient large-scale training and optimized model deployment. Lead technical efforts, define strategic vision for novel biomarker development, and design AI-based biomarkers on multimodal data. Architect and implement tools to streamline the model development lifecycle, develop interpretability methods, and contribute to publications and presentations. Mentor a team of machine learning scientists and engineers. Artera offers a competitive salary, equity, 401k matching, and unlimited PTO.

Requirements

• 5+ years of industry experience using PyTorch or TensorFlow
• 2+ years of experience as a technical lead, launching and monitoring machine-learning products in production environments
• Proven ability to communicate complex ML concepts effectively to cross-functional, non-ML collaborators

Responsibilities

• Lead the technical effort and define the strategic vision for developing novel biomarkers in collaboration with partners from product, clinical development, and biostatistics
• Design and build AI-based biomarkers on multimodal data (including whole-slide images) to predict molecular traits and patient outcomes; and evaluate emerging technologies to continuously enhance product capabilities
• Architect and implement tools and processes to streamline the end-to-end model development lifecycle—from prototyping to production—ensuring efficiency, robust performance, regulatory compliance, and scalability
• Develop and integrate mechanistic interpretability methods to explain model decisions, build customer trust, and drive actionable improvements
• Drive and contribute to publications in scientific journals and presentations at machine-learning conferences
• Mentor and coach a team of machine-learning scientists and engineers, fostering their technical growth and collaboration skills

Preferred Qualifications

• Track record of research contributions, including peer-reviewed publications and conference presentations
• History of external academic or industry collaborations
• Experience with self-supervised representation learning (e.g., MoCo, DINOv2)

Benefits

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