Research Engineer
As a Research Engineer at Google DeepMind India, you will lead the development and productionization of large-scale foundational models, focusing on efficiency and adaptivity. Your role involves designing, implementing, and experimenting with research ideas, and then refining and deploying them for key Google ML models. You will contribute to advancements in machine learning architectures, optimization algorithms, and innovative sampling techniques.
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.
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, along with building large scale systems to demonstrate effectiveness of our research ideas. We specifically focus on advancements in 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!
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, contributing to our cutting edge models/products, while also disseminating our findings through publications at top ML conferences/journals.
Research Engineers at Google DeepMind lead our efforts in developing and productionizing large scale foundational models towards the end goal of solving and building Artificial General Intelligence. In particular, your role would be to help design, implement and experiment with various research ideas and hypotheses in large foundational models space, with emphasis on efficiency and adaptivity. After designing the kernel of a research idea, the next step would be to further polish and refine the idea, and productionize it for some of the key ML models for Google.
In order to set you up for success as a Research Engineer at Google DeepMind India, we look for the following skills and experience:
In addition, the following would be an advantage:
Posted June 14, 2026