Senior Software Engineer, Machine Learning
Standard Bots- Full Time
- Senior (5 to 8 years)
Candidates should possess 4+ years of software engineering experience, 3+ years of experience utilizing PyTorch, TensorFlow, or JAX in Python, 2+ years of experience working with AWS, Docker, and Kubernetes, and 1+ years of experience optimizing large-scale, high data-throughput, distributed machine learning training pipelines.
The Machine Learning Engineer will build and own tools and libraries to accelerate the development and launch of AI products, work with model developers to optimize GPU and CPU efficiency and data throughput of large-scale foundation models, ensure Artera’s ability to store and process terabytes of digital pathology data efficiently, and ensure that Artera’s observability infrastructure provides a clear picture of performance optimization across the model landscape.
SaaS digital health messaging integration platform
Artera is a compelling workplace due to its critical role in improving healthcare communication, orchestrating over 2.2 billion messages annually across diverse channels like texting, email, and webchat. The company not only facilitates efficient healthcare staff operations and profitability for organizations but also enhances overall patient experience by supporting services in over 109 languages. This broad impact in healthcare through high-level integration with EHRs and third-party vendors positions Artera as a leader in the digital health sector.