机器学习工程师（平台）

As a Machine Learning Engineer at Artera, you’ll work on the AI Platform team with a focus on establishing scalable and efficient pipelines for model training, model evaluation, and data processing. You’ll work closely with AI model developers, fellow machine learning engineers, and our platform engineering team. You’ll ensure that Artera’s model developers can rely on highly efficient, large-scale training regimes and deploy optimized models to production environments.

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.

In addition to base salary, equity is a core component of our compensation. We also offer 401k matching, unlimited paid time off (PTO), and more.