Google is looking to solve complex engineering challenges and expand its infrastructure while maintaining a universally accessible and useful experience for its search engine, which is used by billions of people globally.
Requirements
- 5 years of experience with software development in C++ programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 3 years of experience working with SQL, coLaboratory, Python. Experience in data analysis and working with datasets or LLMs.
- Experience with AI/ML techniques including Recommender Systems, generative AI, Large Language Models, information retrieval, etc.
- Experience with modern approaches to ML powered video recommendations.
Responsibilities
- Write and test product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or related technical field.
- Ability to start in Mountain View within 2 months of job posting going live.
- Excellent systems design and implementation skills, with the ability to design and execute solutions to complex problems.
- Excellent collaboration and communication skills, with the ability to work effectively across different teams.
