Top Tech Jobs & Startup Jobs

As a Research Engineer, you will conduct research on model behaviors impacting people and society, build evaluation pipelines, and collaborate with Research Scientists. Your role will involve automating processes, performing data analysis, and contributing to research publications.

The Research Engineering Manager will lead a team focused on customizing the Gemini technology for new product experiences at Google. Responsibilities include team management, collaboration with product teams, driving technical excellence, prototyping new ideas, and tracking performance metrics.

The Research Scientist role at Google DeepMind involves developing generative AI models to innovate video creation tools. The position requires pioneering methods to enhance model capabilities and designing user experiences to empower creators, while collaborating with various teams to address user needs.

As an AI for Code Research Scientist, you will improve models and research for real-world problems by prototyping concepts and running experiments, collaborating with a team to drive foundational research direction.

The Operations Manager will support projects and processes, collaborate with diverse teams, enhance organizational practices, and promote a positive workplace aligned with Google DeepMind's values. Responsibilities include executing project tasks, identifying process improvements, and aiding in problem-solving and stakeholder engagement.

The DE&I Partner at Google DeepMind will champion diversity, equity, and inclusion efforts within the organization. Responsibilities include managing Employee Resource Groups, conducting research and analysis, developing training materials, collaborating with internal teams to integrate DEI principles, and staying updated on best practices. Strong expertise in DEI concepts and excellent communication skills are essential for success in this role.

As a Research Scientist at Google DeepMind, you will conduct empirical research to validate new ideas, develop intuitions based on data scaling laws, and improve understanding of large scale training dynamics, collaborating closely with various teams.