Senior Software Engineer, Earth AI, AI/ML, Research
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Minimum qualifications:
- 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.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- Experience in large-scale training of multimodal generative models.
- Deep understanding of LLMs and their application to agentic systems.
- Demonstrated ability to lead a research project from conception to a successful outcome.
- Demonstrated success in building multiagent systems.
About the job
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.
EarthAI is a frontier initiative at Google Research to build the world’s most advanced planetary foundation models and bring it together with Gemini based reasoning to understand, plan, and act to help address some of the most critical challenges of our time. Our team develops models that interpret the world's physical dynamics, from global mobility and population shifts to environmental signals — transforming the entire planet into an interactive environment for understanding and reasoning.
As an AI/ML Software Engineer, you will design and deploy multimodal generative AI and agentic systems at a massive scale.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
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.
Responsibilities
- Design and scale cutting-edge models for planet-scale datasets, including satellite streams, population understanding and global environmental signals.
- Adapt Gemini models for complex "planetary-aware" reasoning, enabling advanced task planning and multi-step execution in complex contexts.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Advance the field through original model development and rigorous benchmarking, ensuring new breakthroughs are robust, performant, and reproducible.
- Collaborate to scale models globally, turning transformative AI research into reliable products that have a transformative impact on billions of lives.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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