2 days ago
Base Salary
$147k - $210k/yr
Responsibilities
- Advance the ML platform to enable additional use cases for discover-feed recommendations.
- Design, implement, deploy, and maintain projects in collaboration with ranking and retrieval teams.
- Own projects end to end, including ideation, implementation, analysis, and maintenance.
- Apply state-of-the-art techniques to improve the product and ML serving.
- Use AI tools and technologies and discuss AI fluency during the hiring process.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 2 years of software development experience in one or more programming languages, or 1 year of experience with an advanced degree.
- At least 2 years of experience with distributed-systems architecture, scalability, reliability, and performance optimization.
- At least 1 year of experience with ML infrastructure, including model deployment, model evaluation, optimization, data processing, or debugging.
- At least 1 year of experience integrating generative AI tools or LLM interfaces into workflows.
- At least 1 year of experience developing, fine-tuning, or deploying LLMs in production environments.
- Preferred: master’s degree or PhD in computer science or a related technical field.
- Preferred: experience designing large-scale distributed systems using C++.
- Preferred: experience analyzing high-throughput streaming data and integrating real-time insights into systems.
- Preferred: ML or AI research experience, including campus labs, research internships, or co-authored papers.
- Preferred: strong understanding of ML systems, generative AI, and recommender systems.
Benefits
- Equity and benefits are provided.
- The role includes a 15% bonus target.
Tech Stack
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.