About the job
The Senior Machine Learning Engineer at Scale AI is tasked with harnessing advanced methodologies in generative AI, computer vision, reinforcement learning, and agentic AI to enhance our product offerings and streamline the customer experience in live environments. Our machine learning engineers utilize a robust internal infrastructure and unparalleled access to extensive datasets to drive significant improvements for our clients.
As part of the Public Sector Machine Learning team, you will be at the forefront of deploying innovative models to critical government systems through groundbreaking products such as Donovan and Thunderforge. Our work encompasses various modalities, with a strong emphasis on large language models and computer vision. On the LLM front, we are developing sophisticated agentic systems designed to address intricate operational and planning challenges for government entities. This involves creating agent frameworks that interface with custom retrieval systems and production APIs, alongside evaluation tools for assessing and refining agent performance. Additionally, we are pioneering research in reinforcement learning for agentic LLMs, successfully deploying these innovations in real-world operational contexts. In the realm of computer vision, we are focused on training advanced models to boost labeling throughput and automate perception tasks. Our initiatives include developing large-scale fine-tuning pipelines, training models across diverse modalities, and creating adaptable vision foundation models to support a variety of defense applications.
