Machine Learning Engineer - Recommender Systems
仕事内容
Design and develop large-scale machine learning and deep learning models for high-impact personalization and product recommendations.
Work with state-of-the-art technologies in recommendation systems and apply both structured and unstructured data insights.
Define and implement offline and online evaluation metrics and A/B test plans to quantify impact for diverse stakeholders.
Collaborate with cross-functional teams across engineering, product, and business to architect scalable ML solutions.
Produce reusable code, conduct peer reviews, and maintain robust MLOps practices in Python and cloud environments.
Drive experimentation, iterate quickly in a fast-paced environment, and translate business goals into practical ML outcomes.
Work with state-of-the-art technologies in recommendation systems and apply both structured and unstructured data insights.
Define and implement offline and online evaluation metrics and A/B test plans to quantify impact for diverse stakeholders.
Collaborate with cross-functional teams across engineering, product, and business to architect scalable ML solutions.
Produce reusable code, conduct peer reviews, and maintain robust MLOps practices in Python and cloud environments.
Drive experimentation, iterate quickly in a fast-paced environment, and translate business goals into practical ML outcomes.
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。
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。