Snapshot The Gemini Global team s mission is to be the forerunner in bringing AI technology to users and pushing the boundaries of what is possible in a scalable manner across 46+ languages. The sheer diversity of locales makes scalability across a breadth of areas including modeling, safety, factuality, feature development, data generation, evaluations, etc challenging. Due to the rapid pace at which the LLMs space is evolving, there is an increasing need to be on top of both industry and academic trends. The candidate will work closely with both the SWE team and Research teams towards bringing in the cutting edge technologies to mainstream products (Gemini App). About Us Artificial Intelligence could be one of humanity s most useful inventions. At Google DeepMind, we re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role We are looking for candidates who have a passion and a strong track record of developing on top of cutting edge technologies and bringing it to users. They are expected to thrive in ambiguity, excited about finding problems, analyzing, scoping them out and coming up with novel ideas, systematically experimenting & evaluating them and iterating till we make it a high quality experience for our users. What makes this job unique at Google? Working on state of the art technologies Direct impact on a large user base Strong mission aligned with company - make information accessible to everyone Startup like experience - working on product in early stages, ownership Strong cross functional support locally - UX, UXR, PM, PGM, Analyst, gTech, marketing Unique opportunity to collaborate with global experts and contribute to cutting-edge AI development. Key responsibilities: Demonstrate technical leadership in building innovative features for the target users Lead the full-stack implementation, from front-end, back-end, to the model, to deliver high quality products Collaborate with researchers to understand cutting-edge innovation in generative AI, and apply it to the app Conduct in-depth data analysis to identify headroom for the feature, and develop a strategy to design and implement solutions to improve the quality Collaborate with partner teams to enable Gemini features in all languages About You This role is ideal for an individual who thrives in a collaborative, fast-paced, and dynamic environment and is passionate about leveraging AI to create impactful solutions. You are a creative problem-solver who can distill big-picture challenges into tractable projects, empowering your team to succeed. You value continuous learning, teamwork, and making a positive contribution to society. 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 with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS, etc. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Ability to thrive and prioritize effectively in a fast-paced, dynamic environment with multiple stakeholders In addition, the following would be an advantage: Hands-on experience with prompt engineering and post-training techniques for large language models, including data pipeline and evaluation methodologies. Experience with ML frameworks such as JAX, PyTorch, or TensorFlow. Experience training and deploying large-scale models At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Research Scientist: Snapshot The Machine Learning and Optimization (MLO) team at Google DeepMind India is driven by the mission of enabling ultra-efficient, adaptable, and performant large models for everyone . Our mission is realized through foundational research in machine learning, specifically focusing on advancements in next-generation machine learning architectures, large-scale optimization algorithms, reinforcement learning methodologies, and innovative sampling techniques. We apply our research advances to critical product launches in Google, touching the lives of hundreds of millions of users, and we are looking forward to doing more! About us Artificial Intelligence could be one of humanity s most useful inventions. At Google DeepMind, we re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. In particular, our MLO team at GDM India, has deep expertise in machine learning fundamentals, large foundational models, reinforcement learning, generative modeling, and causal inference. Some of our breakthrough technologies include Matryoshka Representations and Matformers, Tandem Transformers, Treeformer, Causal Representation Learning . We have been at the forefront of reimagining Google s latest foundational models from an efficiency and adaptability viewpoint, while also disseminating our findings through publications at top ML conferences/journals. The role Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence. Having pioneered research in the worlds leading academic and industrial labs in PhDs, post-docs or professorships, Research Scientists join Google DeepMind to work collaboratively within and across Research fields. They develop solutions to fundamental questions in machine learning and AI. Key responsibilities Design, implement and evaluate models, agents and software prototypes of large foundational models. Deep dive into fundamentals of both the ML aspects of foundational models (like architectures, loss functions, data, evals) as well as their implementation on neural accelerators (efficiency during training, serving). Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing. Suggest and engage in team collaborations to meet ambitious research goals. Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate. Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity. About you In order to set you up for success as a Research Scientist at Google DeepMind India, we look for the following skills and experience: PhD in a technical field or equivalent practical experience. In addition, the following would be an advantage: PhD in Machine Learning, Computer Vision, Natural Language Processing or related areas A proven track record of publications and relevant experience in one or more areas such as large foundational models, ML+Systems, optimization, learning theory, computer vision, NLP etc. Proven experience with ML frameworks (e.g. JAX) and proven experience with training large models Proven experience working in industry, working on projects from proof-of-concept through to implementation, applying experimental ideas to applied problems A real passion for AI, Optimization, and Efficiency! Next steps Please fill out the required application form linked here and then continue on with the application on this page. Thank you! At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot The role of the Technical Program Management Team is to organise and enable our research teams to be the best at what they do and to make fast-paced progress towards our mission. We continually pursue scalable and sustainable ways to optimise research, striving to ensure we cultivate an environment where people can be both highly collaborative and deeply creative, making responsible and pioneering research progress at pace. We build strong relationships with teams, bringing clarity to ambiguity and providing stability during change. Our program management skills help us tackle even the most complicated projects. By working hand-in-hand with researchers and engineers, were constantly deepening our technical skills and making sure our work is always moving us closer to our mission. About Us Artificial Intelligence could be one of humanity s most useful inventions. At Google DeepMind, we re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role As a Technical Program Manager working on novel model architectures, you will apply program management methodologies to multiple initiatives, balancing progress and risk to deliver sustainable change to meet objectives. You will work with researchers, engineers, product managers, and other stakeholders to define project scope, goals, timelines, and resource requirements. Work with your team on all required elements of end-to-end project planning and delivery, using your knowledge of project methodologies including tools and techniques such as stand ups, retrospectives, agile boards, project plans etc Scope and drive complex and ambitious technical programs cutting across multiple teams Work with your team to organise and optimise research into clear goals and objectives Effectively translate technical information to non-technical audiences, ensuring clarity and alignment Be the trusted owner of the status of your projects, anticipate and propose solutions to issues and risks Troubleshoot and resolve technical challenges, making sound decisions that balance feasibility and project timelines. Critically evaluate technical proposals, understanding the trade-offs between different approaches, and weigh in on the viability of solutions Demonstrate a curious mindset and a commitment to learning and understanding your team s technical field, and your broader understanding of AGI, in order to inform how you enable people, teams and optimise research About You In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience: You are comfortable in highly technical spaces, thrive in collaborative environments, bridging the gap between researchers, engineers and stakeholders, ensuring everyone is working towards a shared vision. 5 years of experience in project/program management, ideally in ML/AI environment Comfortable to navigate through ambiguity and adjust and adapt plans and strategies as project conditions change Strong communication skills, ability to develop meaningful relationships with key stakeholders and leverage these to influence action and outcomes, ensuring alignment between technical teams and business needs. Youre a natural problem-solver, readily identifying the root causes of technical challenges to implement elegant solutions and drive process improvements. Have the ability to quickly grasp technical concepts, contribute to relevant discussions, and translate them into actionable program strategies Strong understanding of ML/AI principles and concepts, and passionate to continuously acquire knowledge to enhance your domain understanding In addition, the following would be an advantage: BS degree in Computer Science, Engineering, or related technical field Knowledge of Research Lifecycle Experience working across multiple geographies and time zones At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.