Software Engineer, Search, Conversational AI, Modeling/Quality, LearnX
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
- 2 years of experience with data structures or algorithms.
- Experience in evaluating the quality of ML models including Large Language Models.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- Experience building fullstack features (TypeScript, Java/Kotlin) for conversational products.
- Experience with prompt engineering, model fine-tuning and model serving in a launched product.
- Experience working on search stack (SuperRoot, MaRS, QRS).
- Experience developing accessible technologies.
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.
In this role, you will provide an opportunity to build transformative products which will change how users learn globally. You will help our team design, prototype, experiment and launch new products. You will provide the opportunity to explore and build entirely new AI-powered features from the ground up in a fluid environment, collaborating across Product Areas like Search, YouTube, Gemini and Google DeepMind.
Learning is the ongoing quest for understanding, and we made it our mission more than 20 years ago to organize the world’s information to make it universally accessible and useful. The learning landscape is changing, and the Learning and Education team's mission is to help everyone in the world learn anything in the world. We provide the information, tools, and services that help people gain knowledge, fuel curiosity, and prepare for what’s next. We focus our work to add the most value for users to enable learning for school, work, and life. We believe everyone can and should have access to quality learning experiences to reach their full potential.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Work with senior engineers from Search and LearnX to iterate on model response quality using techniques such as prompting, fine-tuning and reinforcement learning.
- Evaluate trained models by running human evals and live experiments, define/iterate on evaluation methods when necessary. Build pipelines that assemble training data for Machine Learning (ML) recipes.
- Work with Program Managers and Cross-Product Area partners to estimate and secure resources needed to serve the model. Work with Trust & Safety to define.
- Make fullstack changes when needed.
- Work in a fluid and ambiguous environment, embracing an iterative approach to make complicated quality problems tractable quickly.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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