software engineer

software engineer i

software engineer ii

sr software engineer, ai and backend Jobs in Seattle

sr software engineer, ai and backend

sr software engineer ai and backend

Uber

<div><b>About the Role</b>
<br>
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We are seeking a talented and experienced Sr Software Engineer to join our Threat Defense and Response team and help drive the next generation of AI-powered cyber defense capabilities. This role will focus on advancing our ability to identify, research, investigate, and respond to evolving threats across cyber defense.<br>
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As cyber threats grow in speed and sophistication, this role will be instrumental in architecting and scaling security solutions that combine advanced engineering with AI. You will collaborate with cross-functional engineering, ML, and security teams, build automation that amplifies human defenders, and shape Uber's cyber defense strategy.<br>
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<b>What the Candidate Will Need / Bonus Points</b>
- What the Candidate Will Do -<br>
<ul><li>
Design and develop scalable, reliable, and high-performance software platform and services for Uber's cyber defense
</li><li>Drive development of AI agents that support cyber defense workflows including threat intelligence, hunting, research, and more.</li><li>
Collaborate with cross-functional cybersecurity experts to translate requirements into automated, production-ready capabilities.</li><li>
Collaborate with cross-functional software engineering teams to build end-to-end cyber defense solutions.</li><li>
Contribute to strategy by defining what good&quot; looks like across cyber defense domains and guiding the team toward measurable outcomes.</li><li>
Deliver high-quality, secure code and mentor junior engineers in engineering best practices.</li></ul><br>
- Basic Qualifications -<br>
<ul><li>
Bachelor's degree in Computer Science, Engineering, Cybersecurity, or a related technical field</li><li>
5+ years of experience in software engineering, with a focus on building and scaling systems</li><li>
Proficiency in at least one of the following programming languages: C++, Java, Go, or Python</li><li>
Strong experience in backend software architecture design</li><li>
Experience in building and evaluating AI agents/agentic workflows end-to-end</li><li>
Hands-on experience with cloud environments (AWS, GCP, or Azure) and containerized platforms (Docker, Kubernetes)</li></ul><br>
- Preferred Qualifications -<br>
<ul><li>
Master's or PhD degree in Computer Science, Engineering, Cybersecurity, or a related field
</li><li>Experience with AI/ML technologies and frameworks and incorporating them into production systems</li><li>
Knowledge of cybersecurity concepts, principles, tools, and best practices. Hands-on experience in a cybersecurity domain (e.g. threat intelligence, threat hunting, threat modeling, vulnerability management, detection engineering, incident response) would be a plus</li><li>
Proven track record of leading complex software projects from inception to delivery</li><li>
Strong problem-solving skills and a passion for innovation</li></ul><br>
<br>
<br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Sr Software Engineer, AI and Backend

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you passionate about solving big problems from ground-up? Do you enjoy building new state-of-the-art products at internet scale? Come lead the innovation in this startup team, vertical ad products. This is a green field problem without a known answer or a pattern to follow.<br>
<br>
We have ambitious vision to simplify full funnel advertising solutions, at scale, with specialized agentic AI-powered models and diversify the demand to strategic verticals including finserv, autos, locals.. etc.<br>
<br>
We are looking for a Sr Software Development Engineer to help us evolve the tools, services and frameworks we provide. We seek that rare combination of a solid coding background, a proven track record of applying technologies at scale, and a willingness to challenge the status quo and raise the bar on every service and feature we build.<br>
<br>
Key job responsibilities<br>
Deliver Results and Bias for action matter. Own, build, develop and lead the technical components of a business critical initiative to design, develop, launch and maintain advertising solution(s) and service(s) that enables advertisers with simplified AI-powered advertising offerings.<br>
<br>
We are looking for a someone excited about this technical strategy of engineering and science teams by working closely with a Principal Engineer and Scientists.<br>
<br>
You will also help mentor SDEs.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr Software Dev Engineer, Amazon Advertising

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
About Sponsored Products and Brands: The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading 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.
<br>
<br>
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.<br>
<br>
#GenAI<br>
<br>
Key job responsibilities<br>
Key job responsibilities<br>
<ul><li>Design and develop net new conversational ad experiences on the Search page</li><li>Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem</li><li>Pioneer new approaches to conversational AI and natural language interactions in advertising</li><li>Shape the future of how businesses connect with customers through advertising</li><li>Create scalable systems to deliver explicitly personalized ad experiences</li></ul>
What we're looking for:<br>
<ul><li>Passionate about Generative AI, Large Language Models, and their real-world applications</li><li>Strong software engineering skills</li><li>Creative problem-solver who thrives in ambiguity and loves tackling complex challenges</li><li>Track record of delivering innovative solutions that drive business impact</li><li>Enthusiasm for staying current with the rapidly evolving AI landscape</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience developing and deploying Agentic AI solutions</li><li>Experience developing and deploying Gen AI applications</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Dev Engineer II, Sponsored Products and Brands

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
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.
<br>
<br>
Key job responsibilities<br>
<ul><li>Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure &amp; reusable architecture, delivering low latency and secure advertiser experiences</li><li>Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale.</li><li>Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem
</li><li>Pioneer new approaches to conversational AI and natural language interactions in advertising
</li><li>Shape the future of how businesses connect with customers through AI-powered advertising</li><li>Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences</li></ul><br>
What we're looking for:
<br>
<ul><li>Passionate about Generative AI, Large Language Models, and their real-world applications
</li><li>Strong software engineering skills with experience in distributed systems and cloud technologies
</li><li>Creative problem-solver who thrives in ambiguity and loves tackling complex challenges
</li><li>Track record of delivering innovative solutions that drive business impact
</li><li>Enthusiasm for staying current with the rapidly evolving AI landscape</li></ul><br>
A day in the life<br>
As a Software Development Engineer on the Sponsored Products and Brands Guidance Integrations (SPB-GI) team, you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are:<br>
<ul><li>Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.</li><li>Team obsessed: You help the team achieve results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results.</li><li>Humbitious: You&rsquo;re ambitious, yet humble. You recognize that there&rsquo;s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team.</li><li>Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you&rsquo;re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers</li><li>Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges</li></ul><br>
About the team<br>
We're looking for a brilliant Software Development Engineer to spearhead our Sponsored Products and Brands Guidance Integrations (SPB-GI) team. The team owns the foundational infrastructure for SPB agentic experiences, providing a unified entry point for internal and external agentic applications. We design and maintain scalable APIs and orchestration layers that allow agents to reliably connect with first-party and partner systems. Our responsibilities include building durable agent-to-agent communication protocols for discovery, negotiation, and task handoff; lifecycle management for agent sessions; and state management frameworks that allow agents to persist context across multi-step workflows. The team delivers streaming and event-driven integration pipelines to support real-time customizations and integrations with 1P experiences. We also own the infrastructure governance layers including standardized access-control frameworks, data masking and retention policies, rate-limiting, audit logging, and safety guardrails that ensure predictable, compliant agent behavior across environments. To support scale, the team invests in observability platforms for debugging agent-to-agent and agent-to-service interactions, performance optimization of orchestration layers, and telemetry-driven insights. We also extend the platform to external developers and partners by exposing systems safely to empower partners to create new agentic experiences while inheriting all governance, security, and scaling guarantees of the platform. These agentic experiences include personalized insights, guidance, holistically accounting for an advertiser's product catalog, performance metrics, and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertiser's experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser, updating individual widgets with recommendations or filtering capabilities that are most applicable, 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights.<br>
<br>
Why join us?
<br>
<ul><li>Be part of a team that's defining the future of AI in advertising
</li><li>Work on projects with massive scale and impact, reaching millions of businesses and consumers
</li><li>Collaborate with world-class AI researchers and engineers
</li><li>Access to AI technologies and resources<br>
</li></ul></div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer, Sponsored Products and Brands

Adaptive6

<div>
 Adaptive6 is the industry's first Cloud Cost Governance platform, helping enterprises maximize cloud efficiency by optimizing their infrastructure. The platform continuously scans multi-cloud, PaaS, and Infrastructure-as-Code environments, uncovering hundreds of hidden inefficiencies that are typically overlooked. Inspired by cybersecurity methodologies, it accelerates remediation with AI-driven code fixes and proactively prevents waste before deployment through shift-left cost policies.
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 <br/>
 With rapid adoption among Fortune 500 companies, we are expanding our world-class team to meet growing demand.
 <br/>
 <br/>
 We are looking for our next
 <strong>
  Sales Engineer
 </strong>
 &mdash;a dynamic, customer-focused professional who thrives at the intersection of technology and business. This is a high-impact role where you&rsquo;ll help shape the customer journey, showcase the power of our solutions, and influence the growth of our business. In this position, you will:
 <br/>
 <br/>
 <ul>
  <li>
   Partner with Account Executives to drive technical discovery, demos, and POCs.
  </li>
  <li>
   Translate complex customer requirements into product solutions.
  </li>
  <li>
   Act as a trusted advisor to prospects and customers throughout the sales cycle.
  </li>
  <li>
   Provide technical feedback to product and engineering teams.
   <br/>
   <br/>
  </li>
 </ul>
 Requirements:
 <br/>
 <br/>
 <ul>
  <li>
   3+ years of experience as Sales/Pre-Sales/Solutions Engineer in SaaS or enterprise software.
  </li>
  <li>
   Strong technical background (cloud infrastructure, DevOps, or security).
  </li>
  <li>
   Excellent presentation and communication skills in English.
  </li>
  <li>
   Ability to build trust with both technical and business stakeholders.
  </li>
 </ul>
</div>


Sales Engineer (Remote)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Amazon Quick Suite is a generative AI&ndash;powered business intelligence platform that helps organizations turn data into action, fast. It brings together analytics, visualization, and workflow automation with an intuitive natural language interface, so employees can ask questions, explore data, and build interactive dashboards simply by describing what they need. By securely connecting to diverse data sources and leveraging large language models (LLMs) and AI agents to summarize, generate, and automate work, Quick Suite makes it easier for teams across the business to make smarter decisions and move from insight to impact in a fraction of the time.<br>
<br>
On the Quick Actions team, we build and evolve the core action platform that underpins how Amazon Quick Suite gets real work done and serves as part of the backbone for our agentic AI experiences. Our services sit at the heart of the product, providing a consistent, secure way for LLMs and AI agents to configure and invoke actions across first-party, third-party, and customer-built systems. We power tool calling and action orchestration for Quick chat, dashboards, automations, and multi-agent workflows, enabling seamless integration with tools like Jira, Asana, Slack, Outlook, Teams, SharePoint, Salesforce, and custom HTTP or MCP services, so that when intelligent agents plan, reason, and execute work on behalf of users, everything &ldquo;just works.&rdquo; As a Software Development Engineer on the Quick Actions team, you will design, build, and optimize high-scale distributed services that ensure performance, scalability, and reliability for hundreds of actions. Your work will directly shape how businesses leverage generative AI, LLMs, and autonomous workflows to streamline operations and make data-driven decisions, while you partner closely with product and other engineering teams to expand our action and remote-agent ecosystem.</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior SDE, Amazon Quick Suite, Amazon Quick Suite

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is transforming advertising through generative AI technologies. We help millions of customers discover products and engage with brands across Amazon.com and beyond. Our team combines human creativity with artificial intelligence to reinvent the entire advertising lifecycle&mdash;from ad creation and optimization to performance analysis and customer insights.<br>
<br>
We develop responsible AI technologies that balance advertiser needs, enhance shopping experiences, and strengthen the marketplace. Our team values innovation and tackles complex challenges that push the boundaries of what's possible with AI.<br>
<br>
Join us in shaping the future of advertising.<br>
<br>
Key job responsibilities<br>
This role will redesign how ads create personalized, relevant shopping experiences with customer value at the forefront. Key responsibilities include:<br>
<br>
<ul><li>Design and develop solutions using GenAI, deep learning, multi-objective optimization and/or reinforcement learning to transform ad retrieval, auctions, whole-page relevance, and shopping experiences.</li><li>Partner with scientists, engineers, and product managers to build scalable, production-ready science solutions.</li><li>Apply industry advances in GenAI, Large Language Models (LLMs), and related fields to create innovative prototypes and concepts.</li><li>Improve the team's scientific and technical capabilities by implementing algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor junior scientists and engineers to build a high-performing, collaborative team.</li></ul><br>
A day in the life<br>
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science.<br>
<br>
About the team<br>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Demonstrated expertise in Generative AI technologies, including foundation models, LLMs, and model customization for specific business applications</li><li>Hands-on experience building ads ranking, retrieval, recommendation, or personalization systems that operate at web scale</li><li>Technical proficiency in advanced AI approaches such as multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF)</li><li>Track record of designing and implementing online experimentation frameworks, including A/B testing methodologies and performance metrics for advertising or e-commerce</li><li>Proven ability to translate complex technical concepts into clear explanations for diverse audiences, from engineers to executives</li><li>Deep knowledge of computational advertising fundamentals, including auction mechanisms, advertising economics, and advertiser success metrics</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Sponsored Products and Brands, Off-Search

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