Research Scientist, LLMs & Post-Training (Equity + Bonus)

Google; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Benefits

Bonus target

Job summary

Google is seeking a Research Scientist to set up large-scale tests, deploy promising ideas quickly, and design new architectures across ML and NLP. You’ll prototype implementations and translate theory into products.

You will publish findings with internal and external collaborators, advancing generative AI techniques that benefit Google Ads and related applications. As part of Google’s research community, you’ll work with cross-functional teams to push the boundaries of machine learning and

Qualifications

• PhD in Computer Science or related field or equivalent practical experience.
• Experience working on modern large language model post-training (e.g., supervised fine-tuning, RLHF) or core generative model development in industry AI labs, research institutes, or frontier AI organizations.
• One or more publications in conferences, journals, or public repositories (CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Responsibilities

• Author research papers to share and generate impact of research results across the team and in the research community.
• Help grow research business across teams by sharing research trends and best practices within the community.
• Develop novel machine learning and large language modeling techniques that influence Google products.
• Post-train and finetune Large Language Models (LLMs) for large-scale retrieval and other Google Ads applications.
• Collaborate closely with researchers across Google and DeepMind.

Skills

LLM research

Generative AI concepts

Research leadership

Pre-training / post-training workflows

Education

PhD in CS or related field

Equivalent practical experience

Publications in top ML conferences

Job description

Google is seeking a Research Scientist to set up large-scale tests, deploy promising ideas quickly, and design new architectures across ML and NLP. You’ll prototype implementations and translate theory into products.

You will publish findings with internal and external collaborators, advancing generative AI techniques that benefit Google Ads and related applications. As part of Google’s research community, you’ll work with cross-functional teams to push the boundaries of machine learning and