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1 week agoin-house

Senior Software Engineer, AI/ML Merchant Shopping

Google / Software Development
Mountain View, California, United StatesUSD174,000 - USD252,000 / YEAROn-site
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AI Summary

The engineer will write and test code while collaborating with peers through design and code reviews to ensure high-quality software standards. They will also triage and resolve system issues while designing specialized machine learning solutions to support commerce experiences.

Candidates must have at least 5 years of software development experience, including 3 years of experience with machine learning infrastructure. A bachelor's degree or equivalent practical experience is required, with a preference for advanced degrees in computer science.

Job Details
Job Type: FULL TIME
Visa Sponsorship: No
Salary: USD174,000 - USD252,000 / YEAR
Education: bachelor degree, postgraduate degree
Work Arrangement: On-site
Experience Level: 5 - 10 years
Hours: 40 hrs/week
Language: English
Benefits
BonusEquityHealth Insurance
Key Skills
Software DevelopmentC++Machine LearningML InfrastructureModel DeploymentModel EvaluationData ProcessingData StructuresAlgorithmsSystem DesignDistributed ComputingInformation RetrievalNatural Language ProcessingDebuggingTechnical Leadership
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Minimum 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 testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • Experience with C++, Flume and some ML systems HCI, Data Mining, etc.).

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 5 years of experience with data structures and algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.

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.

People shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today’s digital world.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

  • Write and test product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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.
  • Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
About Google

Google develops innovative products and services that empower individuals and businesses worldwide, fostering opportunities through creativity, collaboration, and cutting-edge technology.

Software Development
304,067 employees
Mountain View, CA
Most staff in USA
$26M raised
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