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272 jobs found
09.11.2025
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Google Data Scientist Research PhD Early Career Start United States, California, Mountain View
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Description:Minimum qualifications:
Preferred qualifications:
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
- 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.
Preferred qualifications:
- Experience with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
- Experience with statistical programming languages, controlled experimentation, causal inference, and statistical data analysis (e.g., linear models, multivariate analysis, stochastic models, sampling methods, etc.)
- Applied experience with machine learning on large datasets
- Ability to start full-time role in 2026.
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09.11.2025
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Google Open Career Opportunities GFiber United States, California, Mountain View
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Description:
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
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09.11.2025
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Google Software Engineer Photos Early Career United States, California, Sunnyvale
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Description:
Minimum qualifications:
Preferred qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 3 years of experience testing, maintaining, or launching software products.
- 1 year of experience with software design and architecture.
- 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
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.
- Experience developing accessible technologies.
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09.11.2025
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Google Design Verification Engineer PhD Early Career United States, California
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Description:
Minimum qualifications:
Preferred qualifications:
- Bachelor's degree or equivalent practical experience.
- 4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or a related field.
Preferred qualifications:
- Master's degree in a relevant field.
- Experience with SQL, building dashboards, data collection and transformation, visualization, or experience in a scripting/programming language (e.g., Python).
- Experience with machine learning.
- Ability to influence cross-functionally at various organizational levels.
- Excellent written and verbal communication and presentation skills.
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09.11.2025
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Google Software Engineer Site Reliability Engineering Early Career United States, California, Sunnyvale
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Description:
Minimum qualifications:
Preferred qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
Preferred qualifications:
- 8 years of experience managing cross-functional or cross-team projects.
- Knowledge of AI model training, testing, evaluation, and tuning processes.
- Knowledge of Key Performance Indicators for AI products.
- Understanding of ML/AI principles and their distinctions from traditional software development.
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09.11.2025
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Google Silicon RTL Design Engineer PhD Early Career United States, Washington, Seattle
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Description:
Minimum qualifications:
Preferred qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience programming in C++, Java or Python.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and 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.
- Experience developing accessible technologies.
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09.11.2025
G
Google Open Career Opportunities Verily Life Sciences United States, California, South San Francisco
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Description:
Apply to this job on the Verily Life Sciences career site at .
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.Expand
Share
Description:Minimum qualifications:
Preferred qualifications:
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
- 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.
Preferred qualifications:
- Experience with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
- Experience with statistical programming languages, controlled experimentation, causal inference, and statistical data analysis (e.g., linear models, multivariate analysis, stochastic models, sampling methods, etc.)
- Applied experience with machine learning on large datasets
- Ability to start full-time role in 2026.
Expand
These jobs might be a good fit
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