Own varied technical challenges in the Search Intelligence stack.
Collaborate closely with senior engineers, AI/ML researchers, and Product Managers to translate the innovations into concrete technical designs and implementations.
Drive technical design decisions within your area of ownership and contribute to technical best practices.
Ensure the reliability, scalability, and efficiency of Search Intelligence features, operating at Google's massive scale and addressing the unique needs of the Indian market.
Be passionate about Search and solve problems with increased levels of ambiguity. Have AI fluency and be prepared to discuss your knowledge of AI tools in the hiring process. Collaborate closely with engineers, AI/ML researchers, and PMs to translate the innovations into concrete technical designs and implementations.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 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.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
Experience integrating generative AI tools or LLM interfaces into workflows.
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Experience with building or leveraging agentic frameworks and Large Language Model (LLM)-powered automation to enhance investigative velocity.
Experience with building classifiers, machine learning, Artificial Intelligence (AI), ranking, and research.
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 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.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
Experience integrating generative AI tools or LLM interfaces into workflows.
