Research Scientist, Gemini Multilinguality, Google DeepMind

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google DeepMind in Mountain View, CA is seeking an experienced AI researcher to drive post-training, reinforcement learning, and multilingual modeling for Gemini. The role focuses on enhancing reasoning, tool use, factuality, and cross-language performance across global languages.

Candidates will work across multiple teams to land research breakthroughs into flagship Gemini models, with competitive compensation including equity and a 20% target bonus.

Qualifications

• Master's degree in CS/ML/AI/math or equivalent experience.
• Experience with research in LLM post-training/alignment, reinforcement learning, multilingual benchmarking, reasoning, or foundation model training.
• Experience training, post-training, or evaluating foundation models.

Responsibilities

• Drive an ambitious research agenda in post-training, reinforcement learning, and agentic modeling to improve Gemini's reasoning, tool use, factuality and multilingual performance.
• Develop scalable algorithms for cross-lingual capability transfer, synthetic data generation, reward modeling, and self-improvement flywheels.
• Improve grounding, factuality, naturalness, and language consistency across long-horizon interactions (text, speech, image, video).
• Design trustworthy evaluation methodologies and human-grounded reward signals to steer model behaviors.
• Partner with Gemini teams and Google product partners to land research breakthroughs into flagship Gemini models.

Skills

LLM research

Reinforcement learning

Multilingual benchmarking

Education

Master's degree in CS/ML/AI/math or related field

Job description

corporate_fare Google place Mountain View, CA, USA

• Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or a related technical field, or equivalent practical experience.
• Experience with research in one or more of the following areas: LLM post-training and alignment, reinforcement learning, multilingual benchmarking, reasoning and agentic systems, or foundation model training.
• Experience training, post-training, or evaluating foundation models.
  

Preferred qualifications:

• Ability to translate open-ended research ideas into landed improvements in frontier models across multi-team collaborations.
• Excellent communication and collaboration skills, and a genuine passion for human languages and building AI that works for people everywhere.

About the job

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

• Drive an ambitious research agenda in post-training, reinforcement learning, and agentic modeling to improve Gemini's reasoning, tool use, factuality and multimodal performance across global languages, dialects, and locales.
• Develop scalable algorithms for cross-lingual capability transfer, synthetic data generation, reward modeling, and self-improvement flywheels that close the quality gap for both major global languages and low-resource languages.
• Improve local and cultural grounding, factuality, naturalness, and language consistency across long-horizon multi-turn and multimodal interactions (text, speech, image, and video).
• Design trustworthy evaluation methodologies, evaluations, and human-grounded reward signals to measure and steer complex agentic and culturally nuanced model behaviors.
• Partner closely with core Gemini post-training, agentic, and pretraining/mid-training teams- as well as product partners across Google to land research breakthroughs directly into flagship Gemini models.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.