Help us maintain the quality of jobs posted on PowerToFly. Let us know if this job is closed.
Job Type
Full Time
Job Details
At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information. 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++)
- Experience in theoretical and empirical research and abstracting and solving impactful research problems
- Ability to take initiative and drive new 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
- Abstract out key problems in the above mentioned areas, design elegant and deep solutions for these problems through theoretical and/or empirical insights, and build out prototypes/demos to showcase effectiveness of the designed solution.
- Lead and collaborate with research teams located across the globe.
- Drive and grow collaborations with product teams to land product innovations.
- Amplify impact and influence the research ecosystem through publications and scientific dissemination.
About the Company
Google Inc.
Mountain View, CA, United States
Build for everyone Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university... Read more