Applied AI Engineer - Flywheel Automation & Continuous Learning
仕事内容
Own the design and implementation of the AI Flywheel: a closed-loop system that turns real-world data into continuous model improvements.
Build and maintain multi-node distributed training pipelines using PyTorch DDP, Horovod, or Ray.
Develop smart data mining and active learning strategies to extract high-value training data from petabyte-scale logs.
Automate model evaluation, selection, and rapid deployment to the autonomous fleet and AI platform.
Create infrastructure for seamless model packaging, validation, and rollout across the AI stack.
Collaborate with cross-functional teams to translate driving data into smarter, safer autonomous systems.
Build and maintain multi-node distributed training pipelines using PyTorch DDP, Horovod, or Ray.
Develop smart data mining and active learning strategies to extract high-value training data from petabyte-scale logs.
Automate model evaluation, selection, and rapid deployment to the autonomous fleet and AI platform.
Create infrastructure for seamless model packaging, validation, and rollout across the AI stack.
Collaborate with cross-functional teams to translate driving data into smarter, safer autonomous systems.
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。
リモートワークno
勤務地San Francisco, アメリカ合衆国