Research Engineer, Gemini Omni, DeepMind

Research Engineer, Gemini Omni, DeepMind Overview

DeepMind, a leading artificial intelligence research organization under Google, is seeking a talented Research Engineer to join the Gemini Omni team. This role involves applying advanced research ideas to solve impactful real-world problems through the development of prototypes, dataset creation, model training, performance tuning, and deployment. The engineer will focus on cutting-edge areas such as Generative Mediaâ??covering image, video, and audio generationâ??and work on optimizing algorithms for efficient inference. Additionally, the role includes advancing multimodal understanding capabilities and performing comprehensive model optimizations to enhance scalability and performance.

Key Responsibilities

• Transform innovative research concepts into practical solutions by prototyping, curating datasets, training models, and deploying applications.
• Develop state-of-the-art techniques in generative media, including images, videos, and audio content creation.
• Optimize algorithms and models to ensure efficient inference, reducing computational costs and improving speed.
• Enhance multimodal understanding systems that integrate multiple data types and modalities.
• Perform detailed model optimization to improve overall performance and scalability across different platforms and applications.

Qualifications and Experience

• Possession of a master’s degree in computer science, mathematics, applied statistics, machine learning, or an equivalent practical background.
• Experience working with machine learning frameworks such as TensorFlow, JAX, or PyTorch.
• Industry experience taking projects from initial proof-of-concept to full deployment.
• Hands-on experience with training diffusion models, a specific type of generative model.
• Proven ability to conduct applied research that bridges theoretical understanding with practical implementation.
• Preferred skills include inference optimization, data pipeline management, and training large-scale models.
• Strong collaboration skills across multidisciplinary teams and a solid understanding of machine learning, statistics, and diffusion model theories.

About the Organization

Google DeepMind is a pioneering AI research lab dedicated to advancing artificial intelligence to address complex global challenges and foster scientific discovery. The organization emphasizes safety and ethics in AI development and collaborates globally with academic institutions and industry partners. The research spans multiple domains, offering diverse career pathways and learning opportunities for driven individuals committed to achieving exceptional results through collective effort.

Additional Information

Applicants will be able to specify their preferred working location between London, UK, and Zürich, Switzerland. Google values diversity and is committed to equal opportunity employment, welcoming applicants regardless of race, gender, religion, sexual orientation, gender identity, national origin, disability, age, or other protected characteristics. The company does not specify whether visa sponsorship is provided for this role, and no information about sponsorship is included in the job posting.

For those requiring accommodations during the application process, Google provides a dedicated form to request support. English proficiency is required for effective communication across the global organization. Google does not accept unsolicited agency resumes, and all employment terms, including equity grants, are subject to Google’s policies and discretion.

Join Google DeepMind to contribute to groundbreaking AI research and work on projects that have the potential to transform society and industry.

Degree Requirement: Not Specified

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