About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s degree or equivalent practical experience
- 8 years of experience in software development, including 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture
- 5 years of experience in building ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving)
- Experience integrating generative AI tools or LLM interfaces into workflows
- Experience in data processing software (e.g., Hadoop, Spark, Beam, Hive), strategies (e.g., ETL, ELT, CDC) or algorithms (e.g., MapReduce, Flume)
More about this role
- Develop and implement frameworks and methodologies for evaluating the quality and effectiveness of AI system components and data.
- Analyze evaluation results to drive improvements in system performance and underlying value models.
- Play a key role in building and articulating the high-level technical strategy for your area of ownership.
- Leverage knowledge of LLMs to design, build, and maintain specialized infrastructure on top of LLMs
- Drive technical projects from ideation through to production, working effectively in an ambiguous and fast-paced environment.
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development, including 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience in building ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving).
- Experience integrating generative AI tools or LLM interfaces into workflows.
- Experience in data processing software (e.g., Hadoop, Spark, Beam, Hive), strategies (e.g., ETL, ELT, CDC) or algorithms (e.g., MapReduce, Flume).
- Master’s degree or PhD in...
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