Software Engineer III, AI/ML, Platforms and Devices

Google LLC
  • Mountain View, CA
    3 days ago

    Job Description

    Software Engineer III, AI/ML, Platforms and Devices

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    corporate_fareGoogleplaceMountain View, CA, USA

    bar_chartMid

    Mid

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

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    Minimum qualifications:

    • Bachelor's degree or equivalent practical experience.

    • 2 years of experience programming in Python or C++.

    • 1 year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

    • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

    Preferred qualifications:

    • Masters degree or PhD in Computer Science, or a related technical field.

    • 2 years of experience with data structures and algorithms.

    • Experience with Android development.

    • Experience developing accessible technologies.

    About the job

    Googles 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. Were 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. The Platforms and Devices team encompasses Googles various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our users interaction with computing faster and more seamless, building innovative experiences for our users around the world.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

    US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

    Learn more about benefits at Google.

    Responsibilities

    • Write 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.

    • Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.

    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 an 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 Googles 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.

    Numbers & Facts

    LocationMountain View, CA

    Skills

    • Algorithmsunmatched
    • Androidunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Natural Languageunmatched
    • Best Practicesunmatched
    • Business Growthunmatched
    • C++ Programming Languageunmatched
    • Code Reviewsunmatched
    • Computer Scienceunmatched
    • Customer/Client Researchunmatched
    • Data Modelingunmatched
    • Data Processingunmatched
    • Data Storageunmatched
    • Data Structuresunmatched
    • Debugging Skillsunmatched
    • Distributed Computingunmatched
    • Documentationunmatched
    • English Languageunmatched
    • Equal Employment Opportunity (EEO)unmatched
    • Geneticsunmatched
    • Information Retrievalunmatched
    • Information/Data Security (InfoSec)unmatched
    • Internet Searchunmatched
    • Large-Scale Systemsunmatched
    • Leadershipunmatched
    • Natural Language Processing (NLP)unmatched
    • Network Designunmatched
    • Product Programsunmatched
    • Python Programming/Scripting Languageunmatched
    • Recruiting/Staffing Agencyunmatched
    • Regulatory Requirementsunmatched
    • Reinforcement Learningunmatched
    • Software Engineeringunmatched
    • Stock Purchase Plansunmatched
    • Style Guideunmatched
    • Testabilityunmatched
    • User Interface Designunmatched

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