Research Scientist, Google Research, Genai, Experiences

Google Google · Big Tech · Mountain View, CA +3

Research Scientist role focused on designing, implementing, and evaluating advanced ML models, with a focus on human preferences and behavior. The role involves architecting systems for model training and serving, performing statistical analyses, publishing research, and collaborating to integrate ML models into products. Requires a PhD and experience in ML, NLP, or computer vision, with a publication record.

What you'd actually do

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

Skills

Required

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

Nice to have

  • 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 and applied ML skills (e.g., Large Language Models (LLMs), Natural Language Processing (NLP)).
  • Experience with quantitative research or investigative abilities for data analysis.
  • Experience with Google infrastructure such as flume.

What the JD emphasized

  • PhD degree in Computer Science, a related field, or equivalent practical experience.
  • One of more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
  • Experience with jax/pytorch, Python, and building/launching ML models and applied ML skills (e.g., Large Language Models (LLMs), Natural Language Processing (NLP)).

Other signals

  • design, implement, and evaluate advanced ML models
  • architect and maintain systems for model training and high-performance serving
  • publish original research
  • integrate ML models driving measurable improvements