18 hours ago
Base Salary
$262k - $364k/yr
Responsibilities
- Provide technical leadership on high-impact recommendation, ranking, prediction, and search projects.
- Manage project priorities, deadlines, deliverables, and cross-team alignment on goals and timelines.
- Lead large-scale ML infrastructure optimization, including model deployment, evaluation, data processing, debugging, and fine-tuning.
- Oversee the design and implementation of advanced production recommendation systems using retrieval, prediction, ranking, and embedding models.
- Explore new techniques for content understanding and personalization, including deep learning and LLM approaches.
- Influence and coach a distributed team of engineers and set technical direction.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 8 years of experience in software development.
- At least 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure.
- At least 5 years of experience building and deploying production recommendation system models and architectures across modeling domains.
- At least 5 years of experience with software design and architecture and testing or launching software products.
- Preferred: master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Preferred: 8 years of experience with data structures and algorithms.
- Preferred: 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- Preferred: 3 years of experience in a complex, matrixed organization involving cross-functional or cross-business projects.
Benefits
- US base pay is listed as $262000–$364000, plus a 25% bonus target, equity, and benefits.
- Google provides employee benefits; additional details are available through its benefits information.
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.