Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. As an ML engineer, you will develop and improve personalized user models to optimize for user happiness. You will directly translate into our top line user engagement and quality goals (DAU, Visits, Impressions, Use Satisfaction Score, etc.).
Requirements
- 2 years of experience with software development in Machine Learning, C++, Data Analysis, SQL, Python, or 1 year of experience with an advanced degree.
- 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 2 years of experience with data structures or algorithms.
- 1 year experience with recommender Systems, Clustering Algorithms, and Deep Model.
- Experience developing accessible technologies.
Responsibilities
- Improve model performance and personalization precision/recall through advanced modeling techniques such as Transformers, Distillation, Reward Shaping, Multi-Task Learning, Neural Bandits, etc.
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.
- You will include our Neural Deep Retrieval models, Deep Neural Network Ranking/Scoring models, User/Content Clustering models, LLM-based Retrieval Augmented Generation models, and more.
- You will also integrate these models with the Discover and Search serving stacks for use cases spanning content recommendation, content ranking, content generation, diversification, and more.
Other
- Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
- We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
- Collaborate with DeepMind Research to pioneer new modeling approaches to improve model performance and address new personalization problems.
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.
