Senior Software Engineer, AI Engineer, LearnX
Listed on 2026-01-06
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Software Development
Software Engineer, Machine Learning/ ML Engineer
Senior Software Engineer, AI Engineer, LearnX
Google Mountain View, CA, USA
MidExperience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience with Python, Java/Kotlin, C++.
- Experience across the lifecycle of AI products such as data analysis, model building, quality improvement, deployment, etc with end-to-end ownership and launching of AI capabilities.
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures/algorithms.
- 1 year of experience in a technical leadership role.
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.
LxG, the Gemini Learning team, is part of Learn
X whose mission is to democratize learning for all. Towards this goal we work on Gemini models and build the learning experiences on the Gemini Application (Bard). We work with the latest in AI technologies such as Reinforcement Learning (RL), AI agents, generative AI, etc. We recently launched a tutor mode called “Guided Learning” in Gemini (Bard) along with exam prep and other well received learning features.
We work on Learn
LM, which is the program to improve the Gemini model’s abilities to help students learn instead of just getting answers. We are an experienced team that is pushing the boundaries of technology and learning experiences. 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.
The US base salary range for this full‑time position is $166,000-$244,000 + 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.
- Write and test product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in,…
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