Senior Research Engineer, Gemini Omni, DeepMind

Senior Research Engineer, Gemini Omni, DeepMind

share

Share Senior Research Engineer, Gemini Omni, DeepMind

• linkCopy link
• emailEmail a friend

corporate_fareDeepMindplaceMountain View, CA, USA

Apply

share

Share Senior Research Engineer, Gemini Omni, DeepMind

• linkCopy link
• emailEmail a friend

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.

About the job

At Google DeepMind our mission is to build the worlds 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.

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 (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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.

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 Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.