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
- 5 years of experience with software development in one or more programming languages
- 3 years of experience with end-to-end machine learning (e.g., model deployment, model evaluation, data processing, debugging)
- Experience utilizing Agentic AI frameworks or developer kits to build and deploy autonomous AI systems
- Experience working with Generative AI technologies (e.g., leveraging Large Language Models (LLMs) in application development)
More about this role
- Set the technical direction for the team by collaborating with cross-functional partners and peer teams.
- Boost Google Ads sellers' productivity and impact through GenAI solutions.
- Work within changing, cross-functional teams to deliver engineering results.
- Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
- 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.).
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with end-to-end machine learning (e.g., model deployment, model evaluation, data processing, debugging).
- 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.
- Experience utilizing Agentic AI frameworks or...
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