hackajob is partnering directly with Google to hire for this role.
At DeepMind, the Planet-Scale Resources, Infrastructure and Systems Management (PRISM) team brings together researchers and engineers to advance the frontiers of AI reasoning and autonomous agentic systems. We reject the false tradeoff between research and execution, pursuing breakthroughs on open AI challenges while embedding directly into core teams to land those capabilities in production.
Our work powers Gemini & Gemmadeveloping core reasoning capabilities and RL scaling for Gemini 3, and leading Gemma 3 270M, including multi-agent Gemini capabilities. We deliver critical contributions to AI Grand Challenges (such as our gold medal-winning IMO 2025 effort), drive product innovations like 'deep think' mode and agentic inference scaling in antigravity, and lead Alphabet-wide initiatives including AI for Science and Project Big Sleep.
In this role, you will operate across the full research-and-engineering lifecycle, developing distributed post-training infrastructure and algorithms that enable Gemini models to solve complex, multi-step problems autonomously.
Artificial intelligence will be one of humanitys 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 diverse 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: $ - $ (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, Physics, a related quantitative field, or equivalent practical experience.
4 years of experience building, scaling, and debugging machine learning models using deep learning frameworks (e.g., JAX, PyTorch, or TensorFlow).
Experience in one core area: Reinf...
Research Scientist/Engineer in London employer: Hackajob
Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.
