Senior Research Engineer, Foundational Machine Learning, Google Research
- Sydney, NSW
- Permanent
- Full-time
- PhD in Computer Science, a related technical field, or equivalent practical experience.
- 7 years of experience in Machine Learning (ML), ML Efficiency, or a related field.
- Experience with programming languages (e.g., Python or C/C++).
- Experience contributing to research communities including publishing in forums (e.g., ICML, ICLR, NeurIPS, or related).
- Experience in theoretical and empirical research and solving research problems.
- Have a passion for deep/machine learning, computational statistics, and applied mathematics
- Be self-directed and can drive new research ideas from problem abstraction, designing solution, experimentation, to productionisation in a rapidly shifting landscape
- Possess outstanding technical leadership and communication skills to conduct multi-team cross-team collaborations
- Work on radically new ML systems and model architectures that can improve capability of large foundational models and/or improve training, inference cost of such large models.
- Develop fundamentally novel optimization algorithms to improve training and generalization of large models.
- Work on fundamental advances to make inference with foundational models more efficient and flexible including knowledge adoption and distillation techniques
- Advance novel RL and similar techniques to make the models more safe, robust, and reliable.