Google, Mountain View, California
As a Research Engineer/Scientist working on Reinforcement Learning (RL) in Gen AI, you will be on the critical path of further improving our foundational models into more helpful and powerful AI agents through reinforcement learning. This is a unique opportunity that has a direct and profound impact on the utility and safety of one the world's most advanced AI systems.
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 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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].
our Gemini models.
to accelerate and scale the RL development.
critical product areas.
technical field.
and setting technical direction.
cross-functional, or cross-business projects.
infrastructure.
GoogleBengaluru, Karnataka, India
Pay not posted
Posted 9 days ago
checked 3 days agoGoogleBengaluru, Karnataka, India
Pay not posted
Posted 14 days ago
checked 3 days ago$150K–$350K / yr
Posted 28 days ago
$295K–$445K / yr
Posted May 14, 2025
GoogleBengaluru, Karnataka, India +2
Pay not posted
Posted 11 days ago
checked 3 days agoOpenAISan Francisco
$250K–$445K / yr
Posted Apr 5, 2025
Source: the company job board. We last checked this job 7 days ago. We first saw it 7 days ago. A job on a job board does not always mean that the team interviews people now.
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