Stack is looking to develop an autonomous solution ecosystem tailored to the trucking industry's unique demands by providing trusted and useful data to efficiently power all of Stack's ML applications.
Requirements
Experience with both ML platforms and building ML-based applications (modeling experience is a bonus)
Experience building or using ML infrastructure for a large number of customer teams
Experience with model training, model optimization, or large data processing pipelines
Prior experience in autonomous vehicles (AV) is a plus
Experience with OSS components such as Ray, Spark, and Iceberg
Experience with LLMs and vector db
Experience with C++ programming language
Responsibilities
Building state of the art infrastructure to support machine learning training and inference workloads using OSS components such as Ray, Spark, and Iceberg
Building a framework and infrastructure to find interesting events quickly and flexibly
Setting the direction for and helping build an inference service using LLMs and vector db
Building the inference or training loop for large models, ideally with LLM flavor
Developing data platform infrastructure for real-time querying/vector databases and batch/stream processing using technologies like Ray, Spark, or similar
