Machine Learning Engineer, Post-Training and Evaluation
Build post-training pipelines to improve the efficiency and quality of multimodal generative AI models. Develop evaluation systems, benchmarks, and data pipelines to measure generation fidelity and performance. Requires strong Python and PyTorch skills with expertise in visual generative models and distributed training.
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