About the position
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 work with the teams across organizations, with enabling embedding/Large Language Model (LLM) development journeys.
Responsibilities
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Design and implement solutions in one or more specialized Machine Learning (ML) areas, leverage ML infrastructure, and demonstrate skills in a chosen field. Enable prototyping of embedding-based retrieval and LLM development.
- Build orchestration platform that integrates user journeys across various Google back-end services.
- Enable cost transparency across back-ends for experimentation and production to identify resource savings, optimize growth, and facilitate capacity planning.
- Engage with Google product teams, backend owners, and researchers to improve their development, experimentation, and productionization journeys, onboard new embedding/LLM-based products with efficiency and scalability.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 3 years of experience in testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
Nice-to-haves
- Master's degree or PhD in Computer Science or a related technical field.
- Experience in working with two or more from the following: web application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, natural language processing, developing large software systems, or security software development.
- Experience in software development in one or more general purpose programming languages.
Benefits
- Bonus
- Equity
- Comprehensive benefits package
