11 hours ago
Base Salary
$147k - $210k/yr
Responsibilities
- Develop and maintain machine learning models using advanced AI techniques to predict user interactions and optimize advertiser return on investment.
- Innovate on machine learning model design to improve quality, stability, and efficiency throughout the model lifecycle.
- Analyze experiments using statistical methods to solve complex machine learning problems and improve model generalization.
- Improve model health and stability through code health, automation, and alerting systems.
- Collaborate with Research and Infrastructure teams to test and implement new technologies in production environments.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 2 years of software development experience in Python or C++.
- At least 2 years of experience applying mathematical modeling, numerical analysis, or statistical methods to engineering or scientific problems.
- At least 1 year of experience building and deploying production recommendation system models involving retrieval, prediction, ranking, personalization, search quality, or embeddings.
- At least 1 year of experience with end-to-end machine learning, including model deployment, evaluation, optimization, data processing, and debugging.
- Preferred: master’s degree or PhD in Computer Science or a related technical field.
- Preferred: experience with machine learning, statistical analysis, applied mathematics, or operations research in industry or academia.
- Preferred: experience productionizing machine learning systems or designing experiments.
- Preferred: experience with Google Ads systems or TensorFlow, Keras, or TFX.
- Ability to write high-quality, low-latency code and models that can train and serve on every query.
Benefits
- 15% bonus target, equity, and benefits are provided in addition to base pay.
Categories
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.