A company is looking for a Multimodal AI Model Optimization Research Engineer. Key Responsibilities Optimize cutting-edge research models for efficiency and production readiness through techniques like sparsification, distillation, and quantization Manage the optimization lifecycle for key models, defining metrics, running experiments, and benchmarking trade-offs Collaborate with researchers and engineers to transform new ideas into deployable systems Required Qualifications Strong experience in deep learning using PyTorch Hands-on experience with model optimization and compression techniques Understanding of efficient architectures and inference performance fundamentals Strong Python coding skills and reliable research engineering practices Experience working with large models and datasets in cloud environments
FULL TIME
mid
4/12/2026
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