Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI
As a Machine Learning Research Engineer, Agent Data Foundation, you will work on cutting-edge research to define the data flywheel for complex agents in enterprise GenAI. This involves building synthetic data pipelines, creating agents for trace analysis, and contributing to a framework for automated agent-building. You will develop best-in-class agents using post-training and agent-building algorithms.
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world.
The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As MLRE on the Data Foundation team, you’ll work on cutting edge research to define the data flywheel that makes the whole machine move. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms.
If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you!
Posted June 9, 2026