Research Scientist
Full Time
full time
4 Nov 2025
Mountain View
Verified by Turrior
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
85 / 100
Offer value
High value due to alignment with cutting-edge AI research and the potential for substantial contributions to AGI.
- Leading role in the evolution of AGI technologies
- Collaborative work at a top-tier organization
- Strong potential for meaningful research impact
Pros
- Opportunity to lead research in transformative AI technologies
- Engagement in high-impact projects that shape the future of AI
- Strong reputation of the company enhances credibility
Cons
- Need for extensive prior experience and a robust publication record
- Possibility of high expectations and project pressures
- Limited clarity on specific application outcomes
Who it's for
Senior / Executive Role • Hybrid / office-based
Good fit
- Experienced AI researchers ready to tackle complex challenges
- Candidates with substantial publication records
- Individuals interested in applying research to real-world scenarios
Not recommended for
- Newcomers or those with limited hands-on research experience
- Candidates seeking lackluster or routine responsibilities
- Professionals uncomfortable with high-pressure research environments
Motivation fit
Aspiration to develop ground-breaking AI solutionsInterest in working on significant research that informs real-world useDesire to engage with the broader research community
Key skills
Generative AI expertiseResearch methodology and applicationPublication and outreach strategiesTechnical implementation of AI models
Score: 85/100 AI verified analysis
About the job
Job description
Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.
This role will involve conducting cutting-edge foundational and applied research related to:
- data: advance the state-of-the-art in data representations via advancements in content understanding, synthetic data, etc.
- modeling: develop transformative modeling advances in pre-training, supervised fine-tuning, reinforcement learning, and retrieval augmented models
- applications: deploy groundbreaking solutions that drive real-world impact across Google’s products and services
Key responsibilities:
- Conduct novel research related to generative AI systems and their interaction with information retrieval.
- Deploy groundbreaking solutions to drive real-world impact.
- Engage with the external research community
Qualifications
- PhD in a technical field or equivalent practical experience.
- Track record of research publications related to generative AI, large language models, and/or information retrieval.
- Practical experience developing and deploying novel generative AI benchmarks and modeling techniques that solve real-world problems
