- We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
- Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Design new data, environments, and learning algorithms for training and evaluating Gemini models
Perform controlled experiments and communicate results
Collaborate with others to land proven improvements for Gemini
Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
Minimum qualifications
PhD degree in Computer Science, a related field, or equivalent practical experience.
Dissertation research in natural language processing, machine learning, computer vision, speech processing or other relevant area
4 years of experience with research agendas across multiple teams or projects.
One or more first-author publications on topics related to algorithms or data in conferences, journals, or public repositories (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).
Preferred qualifications
Expertise in algorithms and the results of ML engineer agents
Track record of execution and impact in a fast-paced research or engineering environment
PhD degree in Computer Science, a related field, or equivalent practical experience.
Dissertation research in natural language processing, machine learning, computer vision, speech processing or other relevant area
4 years of experience with research agendas across multiple teams or projects.
One or more first-author publications on topics related to algorithms or data in conferences, journals, or public repositories (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).
