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X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree or equivalent practical experience.
- 2 years of experience programming in Python or C .
- 1 year of experience with applied machine learning.
- Experience architecting and developing distributed systems.
Preferred qualifications: - Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
- Experience with core GenAI concepts (e.g., LLM, multi-modal, large vision models).
- Experience in concurrency, multithreading, and synchronization.
- Experience developing accessible technologies.
About the jobIndividual 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 implement scalable AI solutions for Google's enterprise functions leveraging enterprise AI best practices and foundational building blocks.
- Collaborate with ML engineers and leads on developing reusable enterprise AI primitives.
- Drive innovation in AI and agentic solutions that help transform Google's business functions.
- Partner with PM/UX in defining product roadmap and new feature scope.
- Lead by example and be direct.
