Senior Staff Software Engineer, AI/ML, Search Ads
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development, in C++ and Python.
- 7 years leading industry-scale ML projects with a focus on LLM and GenAI.
- 5 years of experience with Large Language Models, NLP, and Generative AI.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms
- 5 years of experience in a technical leadership role, leading teams of experts with ambiguous and ambitious goals.
- Experience with launching applied ML/NLP/LLM projects.
About the job
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. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
We train and maintain machine learning models to match user intent with commercial content on Google Search using the latest advances in NLP and multimodal modeling, content understanding and GenAI, as well as advanced training such as RL.
Responsibilities
- Design, develop, test, deploy, maintain, and enhance large scale software solutions.
- Define how breakthrough AI developed in Google Research and Deep Mind will create the next generation of technology to match user and advertiser intent.
- Lead a team of SWEs (TL or TLM) for model training, evaluation, and deployment. This includes exploration of new architectures, augmenting existing training data, finding better evaluation methods and feedback signals, and identifying headroom opportunities.
- Work closely with our Research and cross-functional partners, such as data scientists and product managers.
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