Google

Software Engineer, Magic Eye

Google$207K — $301K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or a related field, or equivalent experience
  • 8 years of experience in developing data products, data pipelines, or analytics frameworks.
  • Experience in data analysis and strategic execution is highly preferred.

Responsibilities

  • Build and maintain analytics and storage pipelines for user behavior insights.
  • Develop scalable growth frameworks and data capabilities to enhance product adoption.
  • Apply advanced machine learning and statistical techniques on large datasets for insight extraction.
  • Manage large-scale data storage and maintain data pipelines for responsible access.
  • Collaborate with data scientists, product managers, and central organizations for integrated data solutions.

Benefits

  • 20% bonus target equity options
  • Comprehensive health and wellness benefits
  • Retirement plans with company matching
  • Generous paid time off and parental leave
  • Access to professional development resources and training opportunities.
Full Job Description
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X 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.

Minimum qualifications:
  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
  • 8 years of experience in building and shipping technical data products, data pipelines, or large-scale analytics frameworks.

Preferred qualifications:
  • Relevant experience developing and executing data analysis and strategic skills.


About the job

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Magic Eye aims to make Google better at user-focused, data-informed decision making in order to help the company deliver better products. The Magic Eye team integrates data from across Google's consumer products to create a unified cross-product view of our users' activity in the products, their accounts, and the devices they use. The data generated by Magic Eye is used to answer Google's most important questions and powers many of the strategies pursued by Google at the company-level.

The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) 20% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • As a Software Engineer on the Magic Eye team, you will build and maintain analytics and storage pipelines that give valuable insight into short and long-term user behaviors across Google's ecosystem. The primary focus of your role will be:
  • Data Engineering and Analytics Pipeline: Build scalable growth frameworks, data capabilities, and features to strengthen product adoption and understand user interactions.
  • Advanced Analytical Methods: Apply and evaluate advanced machine learning and statistical techniques to analyze massive datasets, extracting actionable insights.
  • Data Warehouse and Infrastructure: Be responsible for the large-scale storage of cross-product data, maintaining data pipelines, and establishing common definitions for responsible access.
  • Cross-Functional Collaboration: Partner closely with data scientists, product managers, and central organizations to align data architectures and develop valuable company-wide insights.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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