Mountain View, CA
Snapshot
We are looking for a research scientist who will drive research in Gemini for information tasks. The candidate will primarily work on post-training, but could potentially also work on model-external interventions.
About Us
Our team works on improving Gemini on tasks where users interact with the model to complete information journeys; this includes improving helpfulness and factuality of Gemini models. To this end, we have developed novel post-training innovations to improve the quality, groundedness and factuality of Gemini models in search on mode. Our work impacts product surfaces including AI Mode, Gemini App, AI Studio and Vertex AI.
The Role
In this role, we expect the candidate to work on improving Gemini for information tasks, focusing on quality of information-seeking responses (helpfulness, factuality, grounding, and other aspects). It is an opportunity to explore fundamental issues in modeling and data interventions for information-seeking scenarios, with very significant opportunities in shaping Google’s products in this space.
Key responsibilities:
- Research on post-training (e.g., RL and SFT) for information-seeking scenarios in Gemini
- Research on novel evaluation methods for improving model quality, grounding and factuality
- Research on orchestration of tool calls, and improved retrieval methods, for information-seeking scenarios
About You
In order to set you up for success as a at Google DeepMind, we look for the following skills and experience:
- PhD in a relevant area, or an equivalent research/publication record
- Number of years experience: anything from recent PhD onwards
- Strong software-engineering skills in addition to a research background
In addition, the following would be an advantage:
- Experience in reinforcement learning
- Experience in post-training methods
- Experience in LLMs for information-seeking scenarios
The US base salary range for this full-time position is between $147,000 USD - 211,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.
Skills Required
- PhD or MSc in Computer Science, Machine Learning, or a related technical field
- Experience in model alignment or post-training techniques, such as SFT, Reinforcement Learning (RL), or Reward Modeling
- Experience building and maintaining large-scale data processing or distillation pipelines
What We Do
We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
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