Artera.net

AI Engineer

• Develop the long term vision and roadmap for Artera’s AI platform that will allow the company to continue to scale in terms of both increased inference volume and development workloads.
• Accountable for Artera’s ML compute infrastructure including scaling up Artera’s Foundation Model development by developing distributed training infrastructure and developer libraries.
• Build and evolve the core libraries used by AI scientists to develop, launch, and monitor AI products.
• Work with model developers to optimize GPU and CPU efficiency and data throughput of large-scale foundation models and downstream model training runs.
• Optimize Artera’s ability to store and serve terabytes of digital pathology data efficiently for the use in serving large-scale training regimes.
• Ensure that Artera’s observability infrastructure provides a clear picture of how to continue to optimize performance across our model landscape.

Machine Learning Engineer – AI Platform Lead

Machine Learning Engineer

• Help develop AI-based biomarkers that support the personalization of cancer therapy.
• Work on multimodal deep-learning models that integrate large-scale pathology whole-slide images with diverse modalities to predict patient risk and response to therapy.
• Contribute to developing robust, scalable solutions in this space.
• Collaborate closely with fellow ML engineers, biostatisticians, scientific directors, and product partners to build, validate, and deploy models that ultimately impact patient care.