--- title: Senior Software Engineer, Machine Learning, Discover description: Google is hiring for the Senior Software Engineer, Machine Learning, Discover Interest Modeling role. See the full description and apply. type: job url: https://www.foundrole.com/jobs/senior-software-engineer-machine-learning-discover-interest-modeling-at-google-01a1ab80-48a1-7e60-945e-e116ee978327 date: 2026-11-15T01:26:44Z og_description: Join Google as Senior Software Engineer, Machine Learning, Discover Interest Modeling in Mountain View, CA. Pays $174K–$252K per year. og_image: https://www.foundrole.com/og/wkzxc8.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) | | **Location** | Mountain View, CA | | **Salary** | $174K/yr - $252K/yr | | **Posted** | Nov 05, 2026 | ## Is this job real? **Ghost job check:** A- · Low risk. Probably a real opening. ## Visa sponsorship - **H-1B:** Google sponsors H-1B visas. It filed 9,179 H-1B petitions (FY2026 Q1 – FY2026 Q4). - **E-Verify:** No E-Verify enrollment on record for Google. ## Pay for similar jobs Most similar jobs pay $179,000 – $235,000 a year (median $200,000). ## Description 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. Discover is Google's personalized interest feed. With daily active users, it is one of the largest feed recommendation products in the world. In this role, the profile captures each person's long-term interests, favorite creators and in-the-moment intent. As these models drive recommendations a day, among the most important personalization signals in downstream ranking, and feed personalization across Google. Every Discover feed starts with us, from a constantly refreshing corpus of articles, videos, creator posts and AI-generated content, our retrieval and pre-ranking stack selects the applicants most relevant to each person. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits Learn more about [benefits at Google](https://www.google.com/about/careers/applications/benefits/). - Add predictive modeling of the interests and creators a user will engage with next. Train with multi-objective goals (engagement, satisfaction). - Redesign the interest vocabulary for much higher precision, and evaluate learned alternatives to today's interest vocab. - Build deep, sequence-based token models that learn from long user activity histories across Google products. - Build offline evaluation that predicts online results (profile-quality autoraters, retrieval and ranking metrics), and run well-sliced live experiments. - Design a shared token description, feature set, and training objectives across token types. ### Minimum qualifications: - Bachelor’s degree or equivalent practical experience. - 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), Recommender Systems, deep learning, or personalization. - 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. - 3 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production, and experience building architecture. - Experience with deep learning architectures and related algorithms (e.g., Transformers). ### Preferred qualifications: - Master's degree or PhD in Computer Science or related technical field. - 5 years of experience with data structures and algorithms. - 1 year of experience in a technical leadership role. - Experience developing accessible technologies. - Bachelor’s degree or equivalent practical experience. - 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), Recommender Systems, deep learning, or personalization. - 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. - 3 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production, and experience building architecture. - Experience with deep learning architectures and related algorithms (e.g., Transformers). ## Skills - Recommender Systems - Technical Leadership - Deep Learning - Machine Learning Algorithms - Software Design - Algorithms - Computer Engineering - Computer Science - Offline Evaluation - Data Structures - Electrical Machines - Personalization - TensorFlow ## Related - [More jobs at Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) - [Data & Analytics jobs](https://www.foundrole.com/careers/data-and-analytics?utm_source=ai_markdown)- [Data Science jobs](https://www.foundrole.com/careers/data-and-analytics/data-science?utm_source=ai_markdown)- [Data Scientist jobs](https://www.foundrole.com/careers/data-and-analytics/data-science/data-scientist?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 260759 jobs - [Technology, Information and Internet](https://www.foundrole.com/sectors/technology/technology-information-and-internet?utm_source=ai_markdown) — 11788 jobs - [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) — 3839 jobs ## Related pages - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 260759 jobs - [Technology, Information and Internet](https://www.foundrole.com/sectors/technology/technology-information-and-internet?utm_source=ai_markdown) — 11788 jobs - [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) — 3839 jobs ## Browse - [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown) - [Jobs by country](https://www.foundrole.com/locations?utm_source=ai_markdown) - [Jobs in the United States by state and city](https://www.foundrole.com/locations/us?utm_source=ai_markdown) - [H1B sponsors by location](https://www.foundrole.com/h1b-sponsors?utm_source=ai_markdown) - [H1B salaries](https://www.foundrole.com/h1b-salaries?utm_source=ai_markdown) - [Sectors and industries](https://www.foundrole.com/sectors?utm_source=ai_markdown) - [Jobs by career field](https://www.foundrole.com/careers?utm_source=ai_markdown) - [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)