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Senior Software Engineer, AI Powered GRC Automation

Google

  • Seattle, WA
  • 30+ days ago
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    Skills

    • Adobe Acrobatunmatched
    • Algorithmsunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Artificial Intelligence (AI) Natural Languageunmatched
    • Automationunmatched
    • Autoscalingunmatched
    • Best Practicesunmatched
    • Business Growthunmatched
    • Cloud Computingunmatched
    • Code Reviewsunmatched
    • Computer Scienceunmatched
    • Customer/Client Researchunmatched
    • Data Analysisunmatched
    • Data Miningunmatched
    • Data Processingunmatched
    • Data Storageunmatched
    • Data Structuresunmatched
    • Data Warehousing Applicationsunmatched
    • Debugging Skillsunmatched
    • Develop and Maintain Customersunmatched
    • Distributed Computingunmatched
    • English Languageunmatched
    • Equal Employment Opportunity (EEO)unmatched
    • Geneticsunmatched
    • Go Programming Language (Golang)unmatched
    • Information Retrievalunmatched
    • Information/Data Security (InfoSec)unmatched
    • Internet Searchunmatched
    • Javaunmatched
    • Large-Scale Systemsunmatched
    • Leadershipunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Modeling Languagesunmatched
    • Natural Language Processing (NLP)unmatched
    • Network Designunmatched
    • Performance Analysisunmatched
    • Privacy Controlsunmatched
    • Problem Solving Skillsunmatched
    • Programming Languagesunmatched
    • Quality Engineeringunmatched
    • Recruiting/Staffing Agencyunmatched
    • Regulatory Requirementsunmatched
    • Reinforcement Learningunmatched
    • Riskunmatched
    • Risk Managementunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Stock Purchase Plansunmatched
    • Style Guideunmatched
    • Technical Leadershipunmatched
    • Testabilityunmatched
    • Training Data Setsunmatched
    • User Interface Designunmatched

    Description

    Senior Software Engineer, AI Powered GRC Automation _corporate_fare_ Google _place_ Sunnyvale, CA, USA; Kirkland, WA, USA; +5 more; +4 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants 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. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: + Health, dental, vision, life, disability insurance + Retirement Benefits: 401(k) with company match + Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment + Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance + Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks + Baby Bonding Leave: 18 weeks + Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA** . **Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 5 years of experience with software development in one or more general purpose programming languages, including Java, Golang. + 3 years 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. + 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). + Experience with generative AI, generative AI agents, natural language processing, or large language models. **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. + Experience in one or more of the following: development of consumer applications, data warehousing, analytics and reporting, data mining **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. We are looking for a creative and driven Software Engineer to help us build the next generation of Governance, Risk, and Compliance (GRC) solutions. Our team's mission is to leverage the power of AI and platform engineering to automate and scale critical functions like continuous controls monitoring (CCM), audit readiness, and risk management for Google's cloud and infrastructure. You will have the opportunity to work with advanced AI technologies, large-scale data systems, and collaborate with experts across security, compliance, and product teams to deliver transformational solutions. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . **Responsibilities** + 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). + Design and implement solutions in one or more specialized Machine Learning (ML) areas, leverage ML infrastructure, and demonstrate expertise in a chosen field. + Design, build, and maintain a scalable platform to support AI-driven Governance, Risk, and Compliance functions. + Develop and implement AI/ML models and algorithms to automate and scale Continuous Controls Monitoring (CCM), privacy control enforcement, audit processes, risk reporting, and other Governance, Risk, and Compliance workflows. + Assess data signal quality, and engineer pipelines to ingest and process datasets for training AI models and monitoring control performance. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

    Numbers & Facts

    LocationSeattle, WA
    IndustryOther/Not Classified
    Company Size10,000 employees or more
    Year Founded1998
    Websitehttps://goo.gle/4dbno6V

    Benefits

    Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria

    About Company

    Build for everyone

    Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

    It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

    So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

    Benefits

    We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

    Learn more about Google’s benefits on this site featuring Googlers’ experience.

    How we Hire

    Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to  build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

    Learn more about our hiring process.

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