Foundational ML Research Scientist — Large Models & …, City of Sydney

Minimum qualifications
- PhD in Computer Science, a related technical field, or equivalent practical experience
- 2 years of experience in Machine Learning (ML), ML Efficiency, ML Optimization, or a related field.
- Experience contributing to research communities including publishing in forums (e.g., ICML, ICLR, NeurIPS, or related)
- Experience with programming languages (e.g., Python or C/C++) Preferred qualifications:
- Experience in theoretical and empirical research and abstracting and solving impactful research problems
- Ability to take initiative and drive recent research ideas from problem abstraction, designing solution, experimentation, to productionization in a rapidly shifting landscape
- Excellent technical leadership and communication skills to conduct multi-team, cross-function collaborations
- Passion for deep/machine learning, computational statistics, and applied mathematics About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sh Apply on Kit Job: kitjobau.com/job/3r3ao7