Machine Learning Engineer (Platform)

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.