9 hours ago
Base Salary
$207k - $300k/yr
Responsibilities
- Research emerging technology and make trade-off decisions between immediate wins and long-term stability.
- Modify training and serving infrastructure to support new modeling techniques and products.
- Collaborate with team members and partners to build systems that integrate across the ecosystem.
- Improve the robustness, reliability, and usability of machine learning infrastructure.
- Work with modeling teams to identify pain points and novel use cases.
- Design, develop, test, deploy, maintain, and enhance software solutions while managing project priorities, deadlines, and deliverables.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience leading ML design and optimizing end-to-end machine learning, including model deployment, model evaluation, data processing, and debugging.
- 2 years of experience with state-of-the-art GenAI techniques or GenAI-related concepts such as language modeling and computer vision.
- Experience building and architecting ML systems and infrastructure for model training, evaluation, deployment, and serving.
- Experience designing and operating distributed computing systems for large-scale AI/ML workloads.
- 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: 3 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.
- Preferred: experience with ML modeling, specifically Large Language Models, and distributed ML system design.
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.