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
mid
4/3/2026
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