Description:
4+ years of professional ML engineering experience at an AI/ML-focused organization.Familiarity with the state-of-the-art in behavior learning, language, and/or computer vision.Experience training large-scale foundation models (VLMs, text-to-video models, etc) utilizing distributed training and high-performance optimization techniques such as quantization, mixed precision, model parallelism, data parallelism or FSDP.Strong proficiency in Python and software development best practices such as uni
Jul 25, 2025;
from:
dice.com