The AI/ML Foundations team is a group of engineers and data scientists tasked with building the foundations for engineering excellence and prototyping helpful, internal-facing AI/ML products. We partner with teams across the company to apply Google’s best AI/ML techniques to Google’s biggest opportunities across various enterprise domains (marketing, legal, finance, etc.).
Our team's mission is to enable partner teams to succeed in their AI/ML projects through the use of differing engagement models, ranging from consulting to productionizing and deploying models. Build
cross-functional AI/ML agents and services for use across Google. Educate product teams on AI/ML techniques and infrastructure. Build infrastructure to make this infrastructure easier for other teams to use
If you are looking for a new team focused on applied
machine learning, excited about learning from AI/ML experts across Google, and want exposure to a wide range of cross-domain use cases, we want to talk to you! We are hoping to attract folks with some prior AI/ML experience and experience in the Google toolset.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about
benefits at Google.
Responsibilities
- Design and maintain AI/ML solutions to business problems.
- Collaborate with partner teams and business stakeholders to educate them and support their use of AI/ML.
- Create templates and tools to support adoption of emerging technologies.
- Create proofs of concept and well-lit paths for agent infrastructure.
- Identify opportunities to build shared solutions to common problems.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 2 years of experience with data structures and algorithms in either an academic or industry setting.
- Experience in developing and deploying AI/ML models and algorithms.
- Experience with version control systems (e.g., Git) and software development tools (e.g., IDEs, CI/CD pipelines).
- Proficiency in one or more programming languages commonly used in software development, such as Python, Java, or C++.