Large Machine Learning Model Optimization Engineer
仕事内容
Lead on-device optimization of large language models and diffusion models to deliver real-time, low-latency experiences.
Drive model compression strategies including quantization, pruning, and distillation for on-device deployment.
Implement and optimize hardware-aware pipelines and ML compilers for efficient inference.
Collaborate with hardware, software, and ML teams to align hardware-software co-design and improve on-device experiences.
Contribute to research publications and share findings with cross-functional teams.
Requirements include Python software engineering, experience with large-scale ML models, and strong collaboration and communication skills.
Drive model compression strategies including quantization, pruning, and distillation for on-device deployment.
Implement and optimize hardware-aware pipelines and ML compilers for efficient inference.
Collaborate with hardware, software, and ML teams to align hardware-software co-design and improve on-device experiences.
Contribute to research publications and share findings with cross-functional teams.
Requirements include Python software engineering, experience with large-scale ML models, and strong collaboration and communication skills.
求人の全文を見る
業務内容、求める人物像、スキル、待遇 — 無料アカウントの作成で閲覧できます。
または
すでにアカウントをお持ちですか？
ログイン類似の求人
あなたに合いそうな他の職種。