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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Discover is Google’s flagship personalized content recommendation feed. It brings users with the most relevant and engaging content, keeping them inspired, connected and informed about the world around.
Generative AI (GenAI) is rapidly transforming the way people find and consume information, content, and services. With the advent of large language models (LLMs), multi-modal understanding, and agentic capabilities, we need to re-imagine and redefine content feed experience, as well as the technologies that power it. Our team is advocating the mission of Discover AI transformation, with investment across multiple critical areas.
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.****
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
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
- Architect the LLM integration layer for real-time content generation, summarization, and format adaptation tailored to user context within the feed.
- Own prompt engineering, evaluation harnesses, and LLM observability tooling to maintain output quality, accuracy, and tone consistency at production scale.
- Drive data-driven quality iterations by analyzing user behavior and product needs. Define evaluation metrics and measurement approaches through offline evals and live experiments.
- Lead model selection, fine-tuning strategies, and cost-efficiency decisions across foundation models, balancing capability, latency, and scalability.
- Build LLM first features and solutions to evolve Discover from a place where users passively scroll to a conversational, adaptive, and co-creative personal companion.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience with one or more general purpose programming languages, including: Java, C/C++ or Python.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 6 years of ML or Quality experience working on Recommendation systems.
- Experience building agentic flows.
- Experience with user modeling, recommender systems and personalization.
- Knowledge of statistical methods, with excellent mathematical skills.
- Ability to drive quality projects end-to-end from design to implementation to eventual launch.