Research Scientist: Multilingual AI & Agentic Modeling

Google LLC; San Francisco (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind in San Francisco is seeking a senior research-minded professional to advance post-training, reinforcement learning, and agentic modeling for Gemini. The role emphasizes scalable algorithms, multilingual capabilities, and high-quality evaluation across languages.

You will collaborate across multiple teams to translate ideas into landed improvements and contribute to safety, ethics, and real-world AI impact.

Qualifications

• Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or a related technical field, or equivalent practical experience.
• Experience in research 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.

Responsibilities

• 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.

Skills

LLM research

Reinforcement learning

Multilingual benchmarking

Foundation models

Post-training evaluation

Education

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

Job description

Google DeepMind in San Francisco is seeking a senior research-minded professional to advance post-training, reinforcement learning, and agentic modeling for Gemini. The role emphasizes scalable algorithms, multilingual capabilities, and high-quality evaluation across languages.

You will collaborate across multiple teams to translate ideas into landed improvements and contribute to safety, ethics, and real-world AI impact.