Posted 1 week, 5 days ago
Using LLMs to build neural optimizers, neural scheduling systems, and neural workload tuners. Applying ML to make data warehouses and Spark jobs more efficient. Hiring staff ML engineers to train models that predict compute needs, scaling behavior, …
Brooklyn, San Francisco