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Job Type
Full Time -
Experience
6-8 year -
Salary
₪360,000 - ₪500,000 / Year -
Location
Tel Aviv, Israel -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Aartificial intelligence, Data science techniques, Deep Learning, Machine learning techniques, Python Programming, PyTorch, Scikit-learn, TensorFlow
Job Description
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 experience as an applied ML engineer, applying Deep Learning models and ML to solve problems.
- Experience building and managing data processing pipelines to generate features, dashboards, and analyses.
- Experience with Python, and with libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch, etc.).
- Experience in cloud computing and ML operations.
- Excellent problem solving skills, with the ability to navigate technical issues.
About the job
The Personalized Experience team focuses on providing Waze drivers with a personalized, contextual, and timely routing experience. The team is part of the Waze Data Science group.
Responsibilities
- Manage feature engineering, model evaluation and error analysis, data processing and pipelines, model tuning, monitoring and dashboards.
- Work with product managers, software developers and QA to define requirements, formulate success metrics, and lead experimentation.
- Use data to help products shape the future of Waze and drive innovation, provide insights on user behavior, and help Engineers and QA detect and solve problems.
- Work with GCP, Vertex AI, Python, Scikit-learn, TensorFlow, Airflow/Composer, Python, Looker.
Company Info.
GoogleGoogle LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.
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IndustryE-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
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No. of Employees139,995
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Location1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
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Website
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Jobs Posted
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