Senior Research Engineer, Gemini Omni, DeepMind

Google Inc.; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google DeepMind seeks a Senior Research Engineer for Gemini Omni in Mountain View, CA. You will translate research into production-ready systems, architect multimodal foundation models, and design scalable architectures while collaborating across teams to deploy AI features at scale.

The role emphasizes leadership in technical areas, ML research methods, and strong software engineering fundamentals for billions of users. English proficiency and an equity program are part of the package.

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 development with JAX, PyTorch, or TensorFlow.
• 3 years of experience with Machine Learning algorithms, research methodologies, and Language Modeling.

Responsibilities

• 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 and cross-modal understanding to power Gemini Omni capabilities.
• Design, train, and scale advanced architectures leveraging RL to enhance reasoning, steerability, and multimodal generation quality.
• Optimize model architectures and inference pipelines to achieve low-latency, cost-effective serving at scale.
• Partner cross-functionally with research scientists, product managers, and infrastructure teams to identify opportunities and bring AI features to millions of users.

Skills

Software testing/maintenance/launching

Software design & architecture

ML algorithms & research methodologies

Education

Bachelor’s degree or equivalent practical experience

Tools

JAX

PyTorch

TensorFlow

Job description

Senior Research Engineer, Gemini Omni, DeepMind

• 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.

About the job

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

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.