1 day ago
Base Salary
$174k - $252k/yr
Responsibilities
- Develop methodologies for understanding user interests and techniques for content retrieval.
- Collaborate with partners and teammates to identify user problems and personalization opportunities.
- Generate reliable, scalable training data from large-scale user data.
- Implement and experiment with machine learning algorithms and architectures, including LLMs, deep learning, and distillation.
- Evaluate and improve model quality through evaluations, demonstrations, and live experiments.
- Use user-understanding models to retrieve articles, posts, videos, AI-generated content, and other content formats.
- Integrate models and components with the Discover stack for system efficiency and effectiveness.
- Own projects from ideation through implementation, analysis, and maintenance.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 5 years of software development experience in Python.
- At least 3 years of experience building and deploying production recommendation-system models for retrieval, prediction, ranking, personalization, search quality, or embeddings.
- At least 3 years of experience testing, maintaining, or launching software products.
- At least 1 year of experience with software design and architecture.
- Preferred: master’s degree or PhD in computer science or a related technical field.
- Preferred: 3 years of experience developing and optimizing deep learning algorithms and architectures.
- Preferred: 3 years of experience with machine learning algorithms and tools such as JAX and TensorFlow, including deep learning, natural language processing, LLM-based applications, and LLM fine-tuning.
- Experience with user understanding and personalization and strong mathematical, problem-solving, logical, and investigative skills.
Benefits
- US base salary is $174000-$252000, plus a 15% bonus target, equity, and benefits.
- Google provides additional benefits; details are available through its benefits information.
Tech Stack
PythonTensorFlow
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.