Lead Research Scientist, Multilingual AI & Foundation Models

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

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.