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senior applied scientist, off-search, sponsored products and brands Jobs in New York

senior applied scientist, off-search, sponsored products and brands

software development engineer sponsored products

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.<br>
<br>
Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products team owns Sponsored Products APIs and delivers products and features that drive performance at scale.<br>
<br>
We're looking for innovative and customer-obsessed professionals who can help us take our products to the next level. We embrace leaders with a startup mentality - those who seek a disruptive yet clear mission and purpose, have an unambiguous owner mindset, and are relentlessly obsessed with making connections with customers.<br>
<br>
As a software engineer you will be responsible for designing highly scalable APIs and implementing controls to help our partners scale. You will have a direct impact on our customers by putting our vast amount of data to work by deploying advanced analytics and machine learning algorithms to automate advertisers marketing strategies, increase sales for advertisers. You will build robust predicting services and recommendation engines for solutions that handle massive throughput under tight latency constraints including optimization of runtime machine learning models.<br>
<br>
We&rsquo;re a fast-growing team with a very high focus from business to grow, so there&rsquo;s lot of opportunities. No chance of getting bored here.<br>
<br>
About the team<br>
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.</p><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><li>Experience with AI/ML technologies</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></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 Development Engineer, Sponsored Products

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are looking for a Software Development Engineer to help build and scale the infrastructure powering our agentic autonomous campaigns. In this role, you will design and implement core components of the agent execution engine, evaluation pipelines, and model tuning infrastructure that enable agents to reason, plan, and act across complex advertiser workflows. You will work closely with senior engineers and applied scientists to translate research prototypes into robust, high-performance production systems. You will need to dive deep into new technologies&mdash;such as LLM deployment frameworks, reinforcement learning infrastructure, and multi-step reasoning orchestration&mdash;and quickly apply them to solve real customer problems. You will own well-defined but often ambiguous technical problems, ensuring your solutions are scalable, reliable, and directly contribute to advertiser-facing products. This role is highly impactful: your contributions will form the backbone of the systems that deliver personalized, context-aware guidance to millions of advertisers. You will collaborate across science, product, and platform teams, and your work will focus on building resilient, observable, and maintainable systems that accelerate innovation in agent-based AI.<br>
<br>
Key job responsibilities<br>
<ul><li>Implement core services and APIs for agent orchestration, tool invocation, and state management.</li><li>Build scalable, reusable data and tool registry</li><li>Build components of evaluation pipelines (offline/online) for measuring reasoning quality, advertiser outcomes, and safety guardrails.</li><li>Develop infrastructure to support fine-tuning and reinforcement learning pipelines, collaborating with scientists to productionize workflows.</li><li>Ensure performance, scalability, observability, and maintainability through strong engineering practices.</li><li>Participate in system design, code reviews, and team architecture discussions.</li><li>Continuously learn and apply new techniques in agentic frameworks, distributed systems, and cloud-native development.</li></ul><br>
About the team<br>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest 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.<br>
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>
The Autonomous Campaigns team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon&rsquo;s retail ecosystem.<br>
Our vision is to build a highly personalized, context-aware campaign creation and management system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities&mdash;from high-level product guidance down to granular keyword recommendations&mdash;and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.</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><li>Experience with AI/ML technologies</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></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 Development Engineer II, Sponsored Products Autonomous Campaigns

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art 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>
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.<br>
<br>
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!<br>
<br>
Key job responsibilities<br>
This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to:<br>
<br>
<ul><li>Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.</li><li>Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.</li><li>Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.</li><li>Contribute to the enhancement of team&rsquo;s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious 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.<br>
<br>
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building models for business application 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><li>Experience developing and deploying models in real-world production environments.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.</li><li>Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.</li><li>Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).</li><li>Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.</li><li>Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.</li><li>Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance 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 $136,000/year in our lowest geographic market up to $223,400/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>

Applied Scientist, Off-Search Relevance, Sponsored Products

Macmillan Publishers

<p></p><div><p>Macmillan is seeking a strategic, data and results driven Manager, Retail Media Advertising to join the Performance Marketing &amp; Audience Development team within the Consumer Insights, Marketing &amp; Analytics (CIMA) department. Reporting to the Senior Director, Performance Marketing &amp; Audience Development, this key role is an exciting opportunity to shape how readers discover Macmillan titles, driving measurable growth through innovative retail media strategy.</p>
<p>
The Performance Marketing &amp; Audience Development team leads Macmillan&rsquo;s corporate performance marketing and digital advertising strategy across paid social, digital and retail media, with goals of lifting campaign ROI, establishing key lines of revenue generation through conversion-focused tactics, and scaling first party data efforts to develop meaningful targets. This team works closely with all eight publishers, providing strategic guidance on campaign execution, optimization, and innovation.</p>
<p>
The Manager, Retail Media Advertising will own the strategy, execution, and optimization of backlist focused retail media campaigns with a primary focus on Amazon advertising platforms, driving performance and growth through data-driven decision-making, cross-functional collaboration, and deep expertise in Amazon&rsquo;s suite of retail media tools and capabilities. They will also serve as the main in-house expert on Amazon marketing, advising on best practices, establishing KPIs, and guiding publisher marketing teams on strategic enhancements to their frontlist campaigns.</p>
<p>
The ideal candidate blends strategic thinking with data fluency, thrives on translating insights into high-performing retail media campaigns, and is passionate about driving sales, discovery, and connecting readers to their new favorite book.</p>
<p><b>
What you&rsquo;ll do:</b></p>
<ul>
<li>Lead the strategy, execution, and optimization of backlist focused retail media advertising campaigns, primarily leveraging Amazon Sponsored Products, Sponsored Brands, Sponsored Display, and DSP</li>
<li>Manage campaign planning for backlist initiatives, aligning media spend with revenue goals and collaborating closely with publisher marketing teams to identify priority titles and opportunities</li>
<li>Partner with the Manager, Metadata &amp; Retail Media Optimization to synchronize paid and organic strategies, ensuring product detail pages are fully optimized in tandem with campaign launches</li>
<li>Train and advise publisher marketing teams on best practices to achieve target ROAS; advise on frontlist campaign optimization and title selection</li>
<li>Collaborate with the Manager, Author, Brand &amp; Backlist Marketing Strategy to develop and manage Amazon Brand Storefronts, Brand Story modules, and related assets to enhance brand presence and drive shopper engagement across campaigns</li>
<li>Manage day-to-day relationships with Amazon Advertising representatives, agency partners, and internal stakeholders to ensure smooth campaign execution, comprehensive reporting, and timely implementation of optimization recommendations for frontlist and backlist efforts</li>
<li>Leverage AI and automation features&mdash;including campaign recommendations, budget optimization algorithms, dynamic bidding, and predictive targeting&mdash;to improve campaign efficiency and outcomes</li>
<li>Evaluate new ad formats, placements, and audience segments; share learnings and best practices to inform frontlist campaign strategies</li>
<li>Utilize Amazon DSP and custom audience targeting, including first-party data, lookalikes, and interest-based segments, to run both prospecting and retargeting/conversion campaigns</li>
<li>Track key performance indicators and analyze campaign data, producing actionable insights and recommendations to inform future media investment and title prioritization</li>
<li>Guide the development of dashboards and reporting tools that enable real-time campaign performance transparency, audience behavior analysis, and revenue growth drivers</li>
<li>Stay informed of retail media trends, platform enhancements, and algorithm changes to maintain a competitive advantage and continually refine strategy</li>
</ul>
<p><b>What you&rsquo;ll bring:</b></p>
<ul>
<li>5+ years of experience in digital retail media advertising, ideally in book publishing or a similar consumer product, with hands-on experience booking and managing Amazon Ads campaigns</li>
<li>Proven success in campaign planning, execution, and optimization with a strong data-driven approach to decision-making; ability to manage multiple campaigns and priorities in a fast-paced environment</li>
<li>Strong command of Amazon&rsquo;s retail media ecosystem and advertising products, including Sponsored Products, Sponsored Brands, Sponsored Display, Sponsored TV, on-device ads, DSP, Brand Stores, and A+ content and metadata best-practices</li>
<li>Familiarity with AI-powered advertising tools and automation features within Amazon Ads platforms</li>
<li>Experience working cross-functionally to align campaign objectives with business goals; A proactive, solutions-oriented mindset and desire to collaborate in a team-first setting</li>
<li>Excellent communication and stakeholder management skills, with the ability to translate complex data into clear, actionable recommendations</li>
<li>Excellent organizational skills with a strong attention to detail and ability to manage multiple tasks and timelines</li>
<li>Eagerness to learn new tools and stay current with emerging trends in retail media, consumer insights, and AI</li>
<li>Strong analytical skills and comfort working with performance metrics, analytics/business intelligence tools (Power BI preferred, but LookStudio or Tableau experience also relevant), P&amp;Ls, and dashboards</li>
<li>Proficiency in Microsoft Office and Google Workspace</li>
</ul>
<p>This role will have an annual salary of $70k-$75k.</p>
<p>
Macmillan Publishers is the U.S. trade company that is part of the Holtzbrinck Publishing Group, a large family-owned group of media companies headquartered in Stuttgart, Germany. Holtzbrinck Publishing Group's publishing companies include prominent imprints around the world that publish a broad range of award-winning books for children and adults in all categories and formats.</p>
<p>
U.S. publishers include Celadon Books, Farrar, Straus and Giroux, Flatiron Books, Henry Holt &amp; Company, Macmillan Audio, Macmillan Children&rsquo;s Publishing Group, The St. Martin's Publishing Group, and Tor Publishing Group. In the UK, Australia, India, and South Africa, companies in the Holtzbrinck Publishing Group publish under the Pan Macmillan name. The German publishing company, Holtzbrinck Deutsche Buchverlage, includes among its imprints S. Fischer, Kiepenheuer &amp; Witsch, Rowohlt, and Droemer Knaur.</p>
<p>
Macmillan is proud to be an equal opportunity employer consistently striving to foster a culture where everyone belongs. We welcome applicants of all backgrounds and identities. Qualified applicants are evaluated without regard to race, color, religion, age, ethnicity, national origin, sex, sexual orientation, gender identity or expression, disability status, physical ability, neurodiversity, genetic information, protected veteran status, family and economic status and background or any other characteristic protected by federal, state, or local law. We prohibit discrimination of any kind and will provide reasonable accommodations to qualified individuals with disabilities in accordance with applicable law.</p><p></p><p>
Equal Opportunity Employer<br>
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.</p></div>

Manager, Retail Media Advertising

<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>PhD, or Master's degree and 6+ years of applied research experience</li><li>3+ years of building machine learning models for business application 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, Off-Search, Sponsored Products and Brands

Intuit

<div><p>Category Software Engineering</p>
<p>Location New York, New York
</p><p>Job ID 18463</p></div>
<br><div><div><p>Company Overview</p>
<div><p>Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.</p>
</div></div><div><p>Job Overview</p>
<p>We&rsquo;re hiring a<b>Software Engineer</b> who can make an immediate impact on our <b>PEGA</b>-based systems while having the curiosity and drive to evolve into a <b>full-stack engineer</b>. This role is ideal for someone who thrives in structured, process-heavy environments today but wants to broaden their horizons across our engineering stack over time.</p><p></p><p><br>
In the short term, you&rsquo;ll own delivery of critical PEGA features and integrations. In the longer term, you&rsquo;ll be encouraged and supported to grow into adjacent technologies &mdash; from modern web frameworks to backend and cloud services.</p><p><b><br>
Responsibilities</b></p><ul><li>
Design, develop, and maintain robust PEGA applications and components.</li><li>
Integrate PEGA with internal APIs, data systems, and third-party platforms.</li><li>
Ensure application performance, reliability, and compliance with enterprise standards.</li><li>
Contribute to technical design discussions and influence broader architectural decisions.</li><li>
Learn and contribute to other areas of our stack &mdash; <b>Java, React, APIs, or cloud-native services</b> &mdash; as part of your career growth.</li></ul><p><b><br>
Qualifications</b></p><ul><li>
Hands-on experience with PEGA (8.x+) development.</li><li>
Solid knowledge of PEGA rules, case management, flows, integrations, and debugging.</li><li>
Ability to collaborate with cross-functional teams in agile environments.</li><li>
Good foundation in software engineering principles (data structures, design patterns, and testing).</li><li>
Good communication, adaptability, and problem-solving mindset.</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
</p><p>New York $57.50- 78.00</p></div></div><p></p>

Software Engineer – PEGA (Full-Stack Growth Path)

Neon

<div>
 <strong>
  About Neon
  <br/>
  <br/>
 </strong>
 Neon is a global payments and e-commerce platform designed to help game publishers earn more money and independence from app stores. We believe commerce should be open and transparent: clear decisions, actionable insights, and aligned incentives. Founded by payments, fintech and gaming veterans, Neon focuses on product and partnership excellence: we share the playbook, co-pilot decisions, and abstract away risk and complexity for our customers. We&rsquo;re replacing old-school, black-box relics with clear, modern, and developer-centric infrastructure.
 <br/>
 <br/>
 As an early team member, you&rsquo;ll have the opportunity to shape and scale Neon&rsquo;s product and culture, making a direct impact on our growth and success. You&rsquo;ll join a collaborative, diverse team from world-class companies like Apple, Affirm, Unity, and Visa, backed by renowned VC's including Thrive, a16z, Griffin Gaming, Ribbit, and Renegade. If you want to build disruptive technology, challenge the status quo, and help game creators thrive on their own terms, read on.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Neon is seeking a Software Engineer who will help lead the development of one of our key work streams. As a design-minded engineer, you&rsquo;ll bring ideas to life on a blank canvas, turning concepts into functional, beautiful products. You&rsquo;ll be involved in the full stack of the technology, working hands-on to build and scale a core product that accelerates financial independence for game creators.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and maintain both front‑end and back‑end components of the product
  </li>
  <li>
   Collaborate closely with product leaders, designers, and fellow engineers to define, design, and ship new features
  </li>
  <li>
   Ensure features are scalable, performant, secure, and user-friendly
  </li>
  <li>
   Write clean, maintainable, and efficient code, participate in code reviews, maintain documentation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Look For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1+ year(s) software engineering experience
  </li>
  <li>
   Full-stack background, with strong focuses on React and TypeScript
  </li>
  <li>
   Excited about learning new things and flexing across the stack as the team evolves alongside you
  </li>
  <li>
   Highly productive, able to take ownership of key initiatives and deliver results
  </li>
  <li>
   Able to work from our offices in San Francisco or New York City
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join Neon. Shape the Future of Gaming.
  <br/>
  <br/>
 </strong>
 Compensation Range: $105K - $160K
 <br/>
 <br/>
</div>


Software Engineer

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