Software Engineer, Search, Conversational AI, Modeling/Quality, LearnX

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.
  

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.

• 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.