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Software Dev Engineer II, Conversational Ad Experiences

Amazon

  • SEATTLE, WA
  • 30+ days ago
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    Skills

    • Advertisingunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Natural Languageunmatched
    • Artificial Intelligence (AI) Programming Languagesunmatched
    • Business Operationsunmatched
    • C++ Programming Languageunmatched
    • Code Reviewsunmatched
    • Coding Standardsunmatched
    • Communication Skillsunmatched
    • Computer Scienceunmatched
    • Corporate Policiesunmatched
    • Cross-Functionalunmatched
    • Customer Relationsunmatched
    • Customer Support/Serviceunmatched
    • Customer/Client Researchunmatched
    • Data Managementunmatched
    • Data Processingunmatched
    • Design Patterns Programming Methodologiesunmatched
    • Design Servicesunmatched
    • Distributed Applicationsunmatched
    • Distributed Computingunmatched
    • Ecosystemsunmatched
    • Embedded Softwareunmatched
    • Engineeringunmatched
    • Federal Laws and Regulationsunmatched
    • Javaunmatched
    • Mathematicsunmatched
    • Microsoft C# (C Sharp)unmatched
    • Modeling Languagesunmatched
    • Multithreaded Programmingunmatched
    • Object Oriented Design (OOD)unmatched
    • Performance Analysisunmatched
    • Perl Programming Languageunmatched
    • Problem Solving Skillsunmatched
    • Product Engineeringunmatched
    • Product Programsunmatched
    • Programming Languagesunmatched
    • Retailunmatched
    • Revenue Growthunmatched
    • Software Developmentunmatched
    • Software Development Lifecycle (SDLC)unmatched
    • Software Engineeringunmatched
    • Source Code/Configuration Management (SCM)unmatched
    • State Laws and Regulationsunmatched
    • Systems Scalabilityunmatched
    • Testingunmatched

    Description

    Description The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. We are looking for a software dev engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB helps merchants, retail vendors, and brand owners grow incremental sales of their products on Amazon through native product advertising. The CAX team focuses on sponsored conversational shopping experiences powered by large language models (LLMs). The team is working on multiple 'industry first' projects which are ambiguous and challenging, but they offer the opportunity to have a significant impact on both our shoppers and business. As an engineer on the team, you will drive major product and engineering initiatives, build large-scale, low-latency distributed systems, build ML infrastructure and data processing pipelines. You will partner with our science team to implement LLM models in production, and also contribute to LLMOps. You will be responsible for designing, building, and operating key pieces of customer facing functionality impacting hundreds of millions of Amazon shoppers worldwide. Key job responsibilities Key job responsibilities - Design and develop net new conversational ad experiences on the Search page - Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem - Pioneer new approaches to conversational AI and natural language interactions in advertising - Shape the future of how businesses connect with customers through advertising - Create scalable systems to deliver explicitly personalized ad experiences What we're looking for: - Passionate about Generative AI, Large Language Models, and their real-world applications - Strong software engineering skills - Creative problem-solver who thrives in ambiguity and loves tackling complex challenges - Track record of delivering innovative solutions that drive business impact - Enthusiasm for staying current with the rapidly evolving AI landscape Basic Qualifications - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Palo Alto - 165,200.00 - 223,600.00 USD annually USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually

    Numbers & Facts

    LocationSEATTLE, WA
    IndustryOther/Not Classified
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

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