Senior Research Engineer, Gemini Omni, DeepMind

At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. We research and develop machine learning models for billions of Google users. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. 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 .

Translate research into production-ready systems, driving the full lifecycle from rapid prototyping and large-scale dataset curation to model training, evaluation, and real-world deployment. Architect and advance multimodal foundation models spanning generative media (text, image, audio, and video) and rich cross-modal understanding to power next-generation Gemini Omni capabilities. Design, train, and scale advanced architectures leveraging techniques such as reinforcement learning (RL/RLHF /RLAIF) to enhance reasoning, steerability, and multimodal generation quality. Optimize model architectures and inference pipelines using quantization, distillation, pruning, and kernel optimization to achieve low-latency, cost-effective serving at scale. Partner cross-functionally with research scientists, product managers, and infrastructure teams to identify emerging technical opportunities and bring novel AI features to millions of users.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience in development with JAX, PyTorch, or TensorFlow. 3 years of experience with Machine Learning algorithms, research methodologies, and Language Modeling. Preferred qualifications: 1 year of experience in a technical leadership role. Experience developing accessible technologies.