Software Engineer, Data Acquisition

Software Engineer, Data Acquisition Location: San Jose, CA, USA

Experience Level: Mid

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Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience coding in C++ and Python.
• 2 years of experience with algorithms.
• 2 years of experience with distributed processing.
• 2 years of experience with Flume.

Preferred Qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with data analytics.
• 2 years of experience with machine learning algorithms.

About the Job Google'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.

Looking for applicants who are passionate about working in the area of data acquisition and ML ready training data to power all Google's product lines and models.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US Salary: $147,000 - $211,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Improve the crawl scheduling infrastructure.
• Develop signals towards understanding the web and customer's data interest to enable intelligent crawl decisions and web data targeting.
• Improve the quality of acquired data by improving data relevance and fighting low-quality content (e.g., spam).

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.

Alphabet

Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Locations: San Jose, CA, USA

Experience Level: Mid - Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within the relevant area.