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Job Type
Full Time -
Experience
2-4 year -
Salary
$120,000 - $190,000 / Year -
Location
Mountain View, CA, USA -
Job Function
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Industry
Cloud computing -
Qualification
Key Skills
Algorithms, Design, Flax Programming Language, Java Programming, Python Programming, Software Development, SQL
Job Description
Job summaryShape the future of Prime Video Playback Analytics by applying your data science skills to our ocean of playback telemetry to deliver new insights into data quality and performance.Playback Analytics manages the telemetry from hundreds of device types and millions of Prime Video customers worldwide generating trillions of events. Our data pipelines are amongst the largest in the world of video and our team delivers real-time data and tooling for a diverse group of internal customers.Our data is used to monitor and improve the quality of playback in real-time, feed anomaly detection systems, support customer troubleshooting and provide a range of automated reports supporting dozens of business units within Prime.This role will own the science behind new data quality tooling to measure and report on the integrity of our data across hundreds of dimensions and lead the design of solutions that surface automated insights into the data for our customers.Key job responsibilitiesYou will design and implement code in Python (or R, Minimum qualifications:•Bachelor’s degree or equivalent practical experience.•2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.•2 years of experience with data structures or algorithms.Preferred qualifications:•Master's degree or PhD in Computer Science or related technical fields.•Experience developing accessible technologies.About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.Project Starline from Google combines advances in hardware and software to enable friends, families and co-workers to feel together, even when they’re cities (or countries) apart. Imagine looking through a magic window, and through that window, you see another person, life-size and in three-dimensions. As part of the Project Starline team, you'll work with researchers and engineers in a fast-paced product-oriented environment. Our teams collaborate closely with Google Workspace and Research teams. Your contributions will have an impact on the future of communications with Google products. You will apply technology to solve that really important problem that we often want to be together and we can’t.Responsibilities•Write product or system development code.•Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.•Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).•Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.•Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.• etc) to solve ambiguous and complex business problems where you will shape the direction of our data quality and insights tool chains.•You will work with software development engineers and data engineers to turn your concepts into fully production ready solutions operating at scale.•You will analyze our data using a range of statistical or ML based approaches and explore the problem domain to evaluate possible approaches that yield the most accurate and actionable outputs.•You will lead our data science projects from concept to completion, including data gathering, experimentation, stakeholder management, technical documentation writing, testing and implementation.•You obsess over data quality, understand the impact of flawed data to our business and are able to combine mathematical, statistical, probabilistic and where appropriate, ML approaches to our problem domain.A day in the lifeGaining a deep understanding of our data you will initially explore, experiment and deliver data science solutions that help quantify and surface actionable data quality issues. Solving our problems requires analysis of the syntax, semantics and sequences of telemetry and experimentation is core to success. For problems where you have identified the path forwards, you will be writing the critical path code that powers the end to end solution in collaboration with software development engineers as needed. Your contributions will shape the next generation of our data insights solutions.About the teamPlayback Analytics comprises multiple teams that own the data platform, the streaming metrics computation engine, a range of published datasets consumed by diverse business units and the customer facing tooling for accessing petabytes of data in a readily consumable format. We support a range of customers such as playback engineers looking at diagnostic telemetry, partner teams working on algorithms for improving playback performance and operators monitoring live international sports events. We have recently completed a ground up re-architecture of our telemetry systems which sets the foundation for the new insights we can deliver as we move up the information pyramid.BASIC QUALIFICATIONS•Bachelor's Degree•3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)•2 years working as a Data ScientistPREFERRED ine Le QUALIFICATIONS•Familiarity with video telemetry is helpful but not required•Ability to independently solve problems in ambiguous domains•Experience with comparative statistical methodology•Machine Learning experience may be useful but is not a requirement
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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GoogleBangalore, Karnataka, India; Gurgaon, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India
2-4 year
Measurement Analyst, gCare, Go-To-Market
GoogleBoulder, CO, USA; Chicago, IL, USA; Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA
6-8 year
AI Strategic Cloud Engineer, Google Cloud
GoogleBangalore, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India
4-6 year
AI Engagement Manager, Google Cloud Consulting
GoogleBangalore, Karnataka, India; Gurgaon, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India
10-12 year
Customer Engineer, Data Analytics, Google Cloud
GoogleChicago, IL, USA; Dallas, TX, USA; New York, NY, USA; Reston, VA, USA
6-8 year
Machine Learning Technical Consultant, Google Public Sector
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA; Reston, VA, USA
10-12 year
Partner Technology Manager, Data Analytics and AI
GoogleAustin, TX, USA; New York, NY, USA; Seattle, WA, USA; Sunnyvale, CA, USA
8-10 year
People Analytics Researcher, Hiring Selection and Assessment
GoogleAtlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA
2-4 year
Program Manager, Small/Medium Business, Google Workspace
GoogleAtlanta, GA, USA; Austin, TX, USA; New York, NY, USA; San Francisco, CA, USA
6-8 year
Manager, AI Policy, Government Affairs and Public Policy
GoogleMountain View, CA, USA; San Francisco, CA, USA; Washington D.C., DC, USA
6-8 year
Technical Program Manager III, Conversational AI, Google Cloud
GoogleToronto, ON, Canada; Waterloo, ON, Canada
6-8 year
Technical Program Manager III, Conversational AI, Google Cloud
GoogleNew York, NY, USA; Cambridge, MA, USA
6-8 year
Customer Engineer, AI/ML, Gaming, Google Cloud
GoogleAddison, TX, USA; Austin, TX, USA; New York, NY, USA; San Francisco, CA, USA
2-4 year
Staff Software Engineer, Machine Learning, Google Pixel Watch
GoogleMountain View, CA, USA; San Diego, CA, USA
8-10 year
Marketing Data Scientist
GoogleNew York, NY, USA; San Francisco, CA, USA; Chicago, IL, USA; Ann Arbor, MI, USA
4-6 year
Principal, Generative AI, Trust and Safety
GoogleHyderabad, Telangana, India; Bangalore, Karnataka, India
10-12 year
AI/ML Field Solutions Architect
GoogleBangalore, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India
4-6 year
Image Processing Machine Learning Engineer
GoogleNew Taipei, Banqiao District, New Taipei City, Taiwan
2-4 year
Data Solution Engineer, Google Cloud
GoogleAtlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
4-6 year
AI Engineer, Professional Services, Google Cloud
GoogleAustin, TX, USA; Chicago, IL, USA; Dallas, TX, USA; Kansas City, MO, USA; Los Angeles, CA, USA; New York, NY, USA; Reston, VA, USA; San Francisco, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
4-6 year
Software Engineer, Early Career, Campus
GoogleCambridge, MA, USA; Durham, NC, USA; Mountain View, CA, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; San Bruno, CA, USA; Seattle, WA, USA
0-2 year
Associate Commercial Counsel, AI Research
GoogleAtlanta, GA, USA; Chicago, IL, USA; Los Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA; Seattle, WA, USA; Washington D.C., DC, USA
4-6 year
Sales Engineer, Machine Learning, Google Cloud
GoogleAtlanta, GA, USA; New York, NY, USA; Salt Lake City, UT, USA; San Diego, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA; Tennessee, USA
0-2 year
Senior Staff Data Scientist
GoogleLos Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; San Diego, CA, USA; Sunnyvale, CA, USA
12-14 year
Software Engineer III, Computer Vision/Infrastructure, AR
GoogleLos Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA; United States
0-2 year
Data Scientist, Ads Marketing Analytics
GoogleChicago, IL, USA; Los Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; Redwood City, CA, USA; San Francisco, CA, USA
2-4 year
Cloud Engineer, AI/ML
GoogleBangalore, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India; Pune, Maharashtra, India
4-6 year
Technical Program Manager III, Generative AI, Search
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA; Sunnyvale, CA, USA
6-8 year
Data Analytics Apprenticeship, March or June 2024 Start
GoogleBangalore, Karnataka, India; Gurgaon, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India
0-2 year
Open Source Lead, Staff Software Engineer, Quantum AI
GoogleGoleta, CA, USA; Los Angeles, CA, USA; Mountain View, CA, USA; Seattle, WA, USA
6-8 year
Research Scientist, Machine Learning, Computational Photography
GoogleHaifa, Israel; Tel Aviv, Israel
4-6 year
Machine Learning Software Engineer, Silicon
GoogleMountain View, CA, USA; San Diego, CA, USA
12-14 year
Product Manager, AI Imagery, Google Research
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA
4-6 year
Group Product Manager, AI/ML, Qwiklabs, Google Cloud
GoogleCambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA
10-12 year
Business Data Scientist, Natural Language Specialist
GoogleMountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA
2-4 year
Business Data Scientist, Ads Marketing Analytics
GoogleMountain View, CA, USA; New York, NY, USA; Redwood City, CA, USA; San Francisco, CA, USA
2-4 year
Compliance Business Analytics Manager, Trust and Safety, YouTube
GoogleMountain View, CA, USA; Seattle, WA, USA
6-8 year
Staff Software Engineer, High Performance Computing, Google Cloud
GoogleSunnyvale, CA, USA
8-10 year
Customer Engineer, Business Intelligence, Google Cloud
GoogleBeijing, China; Shanghai, China; Shenzhen, Guangdong Province, China
8-10 year
Partner Engineer Specialist, Machine Learning and Artificial Intelligence
GoogleSingapore
10-12 year
Technical Program Manager, Evals (Mountain View or New York)
Google DeepMindMountain View, CA, USA
4-6 year