Industry Architect Education Research Public Sector jobs at Google
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications:
5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Ability to clearly explain stats or domain knowledge to people not familiar with the subject matter or who lack a quantitative background.
Ability to collaborate cross-functionally and work effectively within a distributed team.
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in C++, C, or Python.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical field.
5 years of experience with data structures/algorithms.
1 year of experience in a technical leadership role.
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products.
5 years of experience with Computer Vision (image classification and processing, object detection, visual search), video generation, or signal processing.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
3 years of experience with software design and architecture.
Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures/algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
PhD in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Applied Mathematics, Operations Research, Economics ) or another discipline involving experimental design and quantitative analysis of data.
1 year of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Experience in one or more of the following areas: Coding (e.g., C/C++, Python, Java), Databases and querying (e.g., SQL, MySQL, MapReduce, Hadoop), Statistical analysis (e.g., R, Stata, SPSS, SAS), or Hypothesis testing.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
PhD in Physics, Quantum Information Science, or a related discipline.
Experience with developing and applying new problem-solving and numerical methods for quantum phenomena.
Three or more scientific publications in the areas of quantum computing, simulation, or many-body physics.
Preferred qualifications:
Experience developing a research program on quantum systems (e.g., many-body systems, quantum chemistry, open systems).
Experience with quantum error correction, fault tolerance, and error mitigation.
Experience with programming languages (e.g., Python, C++) and large-scale classical simulation of quantum phenomena.
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