Research Scientist, GenAI, Experiences

About the Role: Research Scientist, GenAI, Experiences at Google

As a Research Scientist focusing on GenAI and Experiences within Google Research, you will be at the forefront of developing the next generation of intelligent systems that power Google's diverse product portfolio. This role offers the unique opportunity to blend fundamental research with practical application, working on real-world problems that span the breadth of computer science.

You will be responsible for designing, implementing, and evaluating advanced Machine Learning models, particularly those leveraging large-scale datasets to analyze and predict human preferences and behavior. A key aspect of your work will involve architecting and maintaining robust systems for both model training and high-performance serving. Expect to perform rigorous statistical analyses on vast datasets to uncover actionable insights, directly contributing to product development and measurable improvements in user experience.

Collaboration is central to this position, as you will work closely with various partners across Google to integrate cutting-edge ML models. Furthermore, you will actively contribute to the wider research community by publishing original findings and novel methodologies in top-tier conferences and journals, fostering a culture of innovation and knowledge sharing.

Minimum Qualifications

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• Experience with one or more of the following: computer vision, machine learning, or natural language processing.
• Proficiency in software development using Python.
• One or more scientific publication submissions to conferences, journals, or public repositories (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR).

Preferred Qualifications

• 2 years of experience in coding.
• 1 year of experience owning and initiating research agendas.
• Experience with Jax/PyTorch, Python, and building/launching ML models.
• Applied ML skills, including Large Language Models (LLMs) and Natural Language Processing (NLP).
• Experience with quantitative research or investigative data analysis abilities.
• Familiarity with Google infrastructure such as Flume.

Responsibilities

• Design, implement, and evaluate advanced ML models using large-scale datasets to analyze and predict human preferences and behavior.
• Architect and maintain systems crucial for model training and high-performance serving.
• Conduct statistical analyses on large-scale data to discover patterns and derive actionable insights for product development.
• Publish original research in reputable venues, contributing novel methodologies to the fields of machine learning and natural language processing.
• Collaborate effectively with internal partners to integrate ML models, driving measurable improvements in quality and user experience.

Key Skills/Competency

• Machine Learning (ML)
• Natural Language Processing (NLP)
• Computer Vision
• Python Programming
• Deep Learning
• Large Language Models (LLMs)
• Statistical Analysis
• Data Analysis
• Model Architecture
• Scientific Publication