New York

Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions—including sponsored, display, video, and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place. Amazon’s video ads program is fast growing segment of our business, and offers opportunities for advertisers to show case their brand and product via video. Our Streaming TV advertising program includes opportunities within premium content and live events, providing unparalleled measurement. Amazon Advertising is seeking an Account Manager to support our Mid-Market team within our Large Customer Sales organization. This is an exciting opportunity to support our rapidly growing Streaming TV business, reporting to the Senior Manager, Account Management. This role will be focused on activating and growing net-new business. As the primary account owner of net-new business post-launch, ideal candidates will over-index on ownership and an ability to automate whenever possible. Candidates should excel at leveraging Amazon strategies and performance insights to drive revenue growth through upsells and renewals.Key job responsibilities* Sales Account Manager generates advertising revenue through upselling post-launch through performance insights and strategies* Automate through client education of self-service tools and existing, relevant auto-pitches and automated content* Intake of converted pipeline and full ownership of sales calls post-launch, delivering superior customer service.* Earning Trust while influencing buying decisions.* Map account strategies, aligning resources and uncovering which of our video products best serve the advertiser’s needs.* Establishes credible relationships with agencies and advertiser decision makers* Prepares and delivers customized sales presentations to clients.BASIC QUALIFICATIONS- 5+ years relevant experience in a client facing role including but not limited to digital marketing, analytics etc. - Experience in Omni-channel marketing, display, over-the-top (OTT), or search marketing - Adept at solving problems that span business and technology - Influence process improvement that scales broadly; inventing and simplifying within existing processes ...

Amazon Ads operates at the intersection of eCommerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of devices. If you’re interested in joining a rapidly growing organization working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.We’re looking for a results oriented Account Manager who is passionate about partnering with our advertisers, educating them and helping to solve ambiguous business problems, mitigating risks before they become roadblocks. As an Account Manager, you manage and deliver against complex advertiser goals and problems to drive revenue and achieve revenue targets. You nurture customer relationships and create revenue opportunities from the advertisers you own. You’ll not only dive deep into data to understand trends, but also communicate the “why” behind results and make actionable recommendations to internal and external stakeholders. Additionally, you’ll be able to leverage Amazon’s proprietary data to provide strategic and personalized recommendations, influencing both your internal team and your external customer to facilitate them reaching their business goals. This role is highly collaborative, working with Creative, Senior Sales, Product, and Retail partners and will drive process improvement to gain efficiency and foster collaboration. The Account Manager’s strategic digital expertise and influence is considered critical to unlocking greater value and impact for our advertisers.Key job responsibilities- Become a knowledgeable partner on Amazon Advertising solutions- Develop annual brand and media strategies for growth based on overall advertiser goals/objectives- Develop campaign strategies and audience targeting recommendations per brand and product line- Evaluate KPIs and optimize campaign performance using a data driven approach- Perform in-depth data analysis to deliver actionable insights & recommendations that influence short term / long term digital media strategy- Educate advertisers on performance metrics, insights, and how to achieve greater results on Amazon- Work cross-functionally with sales and other Amazon partners to drive incremental revenue and increase advertiser satisfactionBASIC QUALIFICATIONS- 5+ years relevant experience in a client facing role including but not limited to digital marketing, analytics etc.- Experience in Omni-channel marketing, display, over-the-top (OTT), or search marketing- Adept at solving problems that span business and technology- Influence process improvement that scales broadly; inventing and simplifying within existing processes ...

We know that the key to growth is a high-performing sales team. That’s why we’re seeking a qualified Sales Development Representative (SDR) to find and screen potential customers who could benefit from our products and services. As the first line of communication with a prospect, the ideal SDR has a strong understanding of the sales process and excels at researching leads, starting new relationships, and setting up sales closers for success. The SDR should be a quick learner who has strong communication skills and an ability to showcase our offerings in a compelling way. Every potential customer is an opportunity for boosting top-line revenue growth, customer acquisition levels, and profitability.Objectives of this role:- Represent the company’s products and services, using comprehensive knowledge as well as consumer research to explain how our solutions meet customer needs.- Generate leads and build relationships by nurturing warm prospects and finding potential new sales opportunities.- Manage and maintain a pipeline of interested prospects and engage sales executives in next steps- Identify best practices for refining the company’s lead-generation playbook.Key job responsibilities- Client and Industry Knowledge: Clients are at the heart of everything we do. As the first point of contact for future Enterprise clients, you will be building rapport through strategic outreach and a well-rounded client and industry knowledge. Researching clients and staying informed on industry trends will be key to your success. The SDR will build a strategy document, per merchant, to present to the BD that will inform the approach to take with the merchant.- Growth and Development: Our team has an aversion to complacency. We are always looking to improve both individually and as a team. Being open to and implementing feedback will be critical success factors in this role. As you become more comfortable in the role, you will help evolve our demand generation strategy and tactics.- Begin the Relationship: Through lead-generation activities and cold-calling, you will prospect, educate, qualify, and develop sales-ready leads and opportunities. The SDR will prospect at the highest levels of the organization, to reach the buyers, and must effectively sell into Enterprises to drive C-Suite engagement; the SDR will explain Buy with Prime’s vision, pinpoint opportunities, and generate interest.- Sales: Understand current and future demand. Enable, educate, and directly support the sales force to best position this practice with Buy with Prime clients and win new business. Lead client conversations with VP level and above, presenting Buy with Prime’s perspective on innovation and experience topics, and ask exploratory questions to better understand client needs.- Collaborate with Team Members: You will collaborate with your team and Sales Executives to pursue opportunities, recommend appropriate follow-up actions, and schedule qualified meetings. Communicating via Zoom and Slack is critical to maintaining a high level of collaboration and clear communication within the team. The SDR will communicate trends to Sales Ops and Sales Enablement, provide feedback on effectiveness of current collateral, and recommend a path forward to generate more upfront interest. The SDR will work with UX to build out mock-ups that can be leveraged during the first couple of calls to generate interest.- Internal Relationship Building: The SDR will work internally to influence other organizations to leverage champions that already exist. The SDR will sell the solution in way that strategically positions our products to meet the customer paint points and/or future needs. - Ultimately, the SDR will focus on building strong relationships by thoroughly researching the company and executives, demonstrating a clear understanding of their business challenges, speaking their language by focusing on high-level impacts like ROI, and presenting solutions that align with their strategic priorities, all while maintaining a confident and professional demeanor; essentially, position themselves as a trusted advisor.About the teamAmazon ‘Buy with Prime’ helps merchants grow their ecommerce website by offering Prime shopping benefits—including fast, free delivery and a trusted checkout—as well as Reviews from Amazon, and more. By integrating ‘Buy with Prime’ services, merchants can attract and convert Prime members and other shoppers on their sites, rely on the world’s largest fulfillment network to streamline order fulfillment and inventory management, and let Amazon handle the payment, processing, storage, picking, packing, and shipping of orders—and customer service and returns as well.The Buy with Prime (BwP)/MCF team’s mission is to help merchants grow their businesses beyond Amazon.com by externalizing the best of Amazon’s supply chain and direct to consumer (DTC) services. BASIC QUALIFICATIONS- 5+ years of experience identifying, developing and closing new enterprise business merchants.- Experience generating partnerships, identifying, and developing strategic plans to expand enterprise client base to include cultivating high value enterprise clients.- Experience structuring and negotiating complex agreements and leading cross-functional groups to orchestrate and successfully complete deals.- Experience leading client conversations with VP level and above.- Experience with sales CRM tools such as Salesforce or similar software. ...

Do you want to take on one of the most important engineering challenges shaping the future of movies, television, and digital video? Do you want to define the next generation of how and what Amazon customers are watching?Prime Video (PV) is a premium streaming service that offers customers the greatest choices in what to watch, and how to watch it. PV delivers movies and TV shows instantly to TVs, tablets, game consoles and PCs worldwide. This is a young and evolving business within Amazon where creativity and drive can have a lasting impact on the way video is enjoyed worldwide. You will be encouraged to see the big picture, be creative, and positively impact millions of customers. We’re building the future of streaming - yes, it’s challenging, but it’s also a lot of fun!The Prime Video (PV) Search Engineering team is looking for a Software Development Engineer with a strong technical background, experience in building large-scale machine learning models in a production environment, a passion for search technologies, information retrieval problems, and digital entertainment.Key job responsibilitiesYou will join a team of passionate engineers and product owners who innovate and develop new ways to search for video content across Prime Video's expanding catalog. You will work with a team that is developing new customer facing AWS-based software platforms using the leverage the latest technologies including large language models and machine learning models. You will work with applied scientists to build ML-based solutions for ranking search results from multiple sources. You will learn how to work with (1) high volumes of data (2) use known models or optimized models (3) set up ML training infrastructure and (4) test and validate your changes in production worldwide. Finally, you will partner with senior leaders across the organization in developing a strategic vision for Prime Video, while also mentoring and developing a team of enthusiastic engineers.To accomplish this, you will be expected to have an established background in building scalable systems, excellent people and program management skills, great communication skills, and a motivation to achieve results in a fast-paced environment. You should have experience developing and working with ML models, understanding their limitations and best practices. You should be comfortable working with large data sets and be able to quickly adapt to changing requirements. You should be somebody who enjoys working on complex system software, is customer-centric, and feels strongly about connecting customer problems through underlying scalable software that raises the bar on customer and operational goals. Experience with building web services-based applications, especially at massive scale, will be helpful.A day in the life* Collaborate with Applied Scientists to bring cutting-edge machine learning solutions to Production* Learn and use AWS technologies* Learn and introduce new ways to use machine learning in our services* Discuss and design new product features* Implement code and tests for a service* Ensure operational readiness of a service* Resolve impending issues before customers notice them* Analyzing and processing large datasetsAbout the teamPV-Search Engineering has been formed to build a video-focused search infrastructure. Our vision is to make Prime Video applications the first choice for anyone to find, discover, and engage with any movie or TV show. Our team is working on improving the search results using state-of-the-art LLMs that can comprehend customer intent and provide meaningful responses to queries such as "movies where animals talk". As a team, we are working with a number of machine learning models that will be productinalized and continuously trained. Our space needs to handle challenges with latency, IMR, models training and benchmarking. 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- Experience programming with at least one software programming language- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design- Experience in building large-scale machine-learning infrastructure and validating it in production ...

As a member of the Application Security Automation team, you will help provide automated security testing (SAST/DAST) solutions for all of Amazon. Our team’s goal is to empower both development and security teams with accurate security detections at the highest standards of quality in order to identify and eliminate risk across Amazon’s application portfolio. You will be responsible for performing security assessments and delivering new security detection rules to enhance our existing testing capabilities. This role will routinely challenge your technical background and critical thinking. You will be expected to collaborate with our team’s stakeholders in a fast-paced environment across many technology stacks and services to deliver scalable solutions.Key job responsibilities- Develop, curate, and improve application security detections (static and dynamic) to identify vulnerabilities at scale- Evaluate and recommend new security testing tools- Perform static and dynamic application security assessments to ensure the highest quality standard for our detection rule sets- Risk assessment and Threat Modeling- Develop, enhance, and interpret security standards and guidance- Demonstrate and promote security best practices, drive improvements of Amazon’s overall security architectureAbout the teamDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why Amazon Security At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.BASIC QUALIFICATIONS- 3+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience- Bachelor's degree in computer science or equivalent- Knowledge of networking protocols such as HTTP, DNS and TCP/IP ...

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.Key job responsibilities• Deliver accurate weekly reporting on pipeline and customer spend adoption, including account status updates and insights learned during deployment.• Provide strategic account engagement that helps customers implement solutions that solve industry-specific procurement challenges.• Drive and accelerate spend adoption by advising customers on best practices for using Amazon Business solutions.• Focus on automating service needs for customers, while working with Product and Technical teams to develop solutions that will increase solution adoption.•Relay market needs and requirements back to internal Amazon teams, including Product, Technical, and Category Management teams.About the teamThe Amazon Business Nonprofit team is committed to helping charitable organizations and faith-based institutions to advance their missions and save time and money by purchasing supplies through an Amazon Business account.Account Representatives are responsible for initiating and developing strong relationships with the most impactful nonprofit customers in our communities. They balance their time discovering and onboarding net new business customers, in addition to expanding and enhancing the Amazon Business footprint with existing customers. The candidate will collaborate closely with customers to understand their procurement requirements and challenges, and then coordinate with internal Amazon teams to determine the best solution.BASIC QUALIFICATIONS- BA/BS degree or equivalent work experience required- 5+ years of B2B and/or Enterprise sales experience- Demonstrated track record of owning the sales life cycle including identifying, developing, negotiating, and closing opportunities across a wide spectrum of customer engagement levels- Demonstrated track record of positioning and selling solutions to new and existing customers and market segments ...

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.Key job responsibilities• Deliver accurate weekly reporting on pipeline and customer spend adoption, including account status updates and insights learned during deployment.• Provide strategic account engagement that helps customers implement solutions that solve industry-specific procurement challenges.• Drive and accelerate spend adoption by advising customers on best practices for using Amazon Business solutions.• Focus on automating service needs for customers, while working with Product and Technical teams to develop solutions that will increase solution adoption.•Relay market needs and requirements back to internal Amazon teams, including Product, Technical, and Category Management teams.About the teamThe Amazon Business Nonprofit team is committed to helping charitable organizations and faith-based institutions to advance their missions and save time and money by purchasing supplies through an Amazon Business account.Account Representatives are responsible for initiating and developing strong relationships with the most impactful nonprofit customers in our communities. They balance their time discovering and onboarding net new business customers, in addition to expanding and enhancing the Amazon Business footprint with existing customers. The candidate will collaborate closely with customers to understand their procurement requirements and challenges, and then coordinate with internal Amazon teams to determine the best solution.BASIC QUALIFICATIONS- BA/BS degree or equivalent work experience required- 5+ years of B2B and/or Enterprise sales experience- Demonstrated track record of owning the sales life cycle including identifying, developing, negotiating, and closing opportunities across a wide spectrum of customer engagement levels- Demonstrated track record of positioning and selling solutions to new and existing customers and market segments ...

Are you ready to rediscover your passion for building trusted relationships and redefine what it means to drive innovation at scale? As a Senior Account Manager on Amazon Autos, you will have the opportunity to re-connect with your entrepreneurial spirit while navigating complex challenges alongside some of the brightest minds in the industry.Amazon Autos is embarking on a exciting journey to revolutionize the vehicle discovery and shopping experience that connects customers with their new vehicle of choice. You will work directly with dealers to resolve issues, ideate scalable solutions, build client-relationships and support the onboarding of net-new dealers to our platform. You should be comfortable managing multiple workflows in a fast-paced environment and actively participate in continuous improvement initiatives. Above all, you should demonstrate a high level of ownership and the ability to thrive in ambiguity. The ideal candidate for this role will have at least five years automotive experience, either at a cooperate level or in a dealership (as a General Manager, Sales Managers or in Finance). If you're ready to take on a challenging, yet rewarding, role in a start-up-like environment, we encourage you to apply for this Senior Account Manager position on the Amazon Autos team.Key job responsibilities• Effectively and clearly communicate in person and through written mediums. • Leverage their past experience in the automotive industry to bring to light new ways of thinking and look around corners. • Highly proficient in an ambiguous environment and willing to roll up their sleeves to get the job done.• Comfortable moving quickly, without constant direction, and have a proven ability to leverage data and/or the information available to make informed decisions.• Approach problems with a ‘scaling mindset’ where they think beyond a one-time solve, to ensure standardization across the account management team. • Keen attention to detail, as they manage multiple dealerships at one time, to appropriately manage intricacies at the individual level. A day in the lifeAs a Senior Account Manager, you will be based in our office (working in a hybrid capacity) and will travel to meet with dealers (up to 15%) across multiple metro locations. You will working cross-functionally with internal teams and partner with GM/VP-level dealer contacts to: a) onboard new dealers, b) resolve escalations and defects, and c) strategize growth opportunities – all while advocating for dealers with integrity.About the teamAmazon Autos is a rapidly growing team, within the Amazon Advertisements organization. This team specifically focuses on dealer facing interactions including 1) new dealership onboarding, 2) issue resolution and 3) dealership development. Our Account Managers function both tactically and strategically to root cause defects and implement scalable solutions. BASIC QUALIFICATIONS- Bachelor’s degree- 5+ years’ experience in account management, sales, marketing, or customer service delivery in related industries like retail, telecom, automotive, or technology.- E-commerce experience preferred- Strong organizational skills including prioritizing, scheduling, time management, and meeting deadlines.- Demonstrated ability in learning tools and processes, effectively utilizing them for service delivery.- Strong service mindset and ability to use metrics to measure service levels.- Strong written and verbal communication skills. ...

Amazon's Next Generation Developer Experience (NGDE) Organization is looking for world class scientists and engineers to join its team to work on AI4Code, LLM, and natural language processing. This group is entrusted with developing core algorithms/capabilities for Amazon Q Developer. At NGDE's science team you will invent, implement, and deploy state of the art AI algorithms and systems for developers. You will build prototypes and explore conceptually new large scale AI solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.About the teamAWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Amazon Next Generation Developer Experience (NGDE) Organization is looking for world class scientists and engineers to join its team working on AI4Code, LLM, and natural language processing. This group is entrusted with developing core algorithms/capabilities for Amazon Q Developer. At NGDE you will invent, implement, and deploy state of the art AI algorithms and systems for developers. You will build prototypes and explore conceptually new large scale AI solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.About the teamAWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Amazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The sheer growth of the business and the company's mission "to be Earth’s most customer-centric company” makes the customer fulfillment business bigger and more complex with each passing year.The EU SC Science Optimization team is looking for an exceptionally talented Scientist to tackle complex and ambiguous optimization and forecasting problems for our EU/NA fulfillment network.The team owns the optimization of our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with Supply Chain Optimization Technology (SCOT) teams, who own the systems and the inputs we rely on to plan our networks, the worldwide scientific community, and with our internal EU stakeholders within Supply Chain, Transportation, Store and Finance.We are looking for an experienced candidate having a well-rounded-technical/science background, with a particular expertise in stochastic optimization and probabilistic forecasting, as well as a history of delivering complex scientific projects end-to-end, and is comfortable in developing long term scientific solutions while ensuring the continuous delivery of incremental model improvements and results in an ever-changing operational environment.As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic optimization. You will partner with other tech and science teams, operations, finance to identify opportunities to improve our processes in order to drive efficiency improvements in our Fulfillment Center network flows.This role requires a self-starter aptitude for independent initiative and the ability to influence partner scientific and operational teams so to drive innovation in supply chain planning and execution. You are passionate, results-oriented, and inventive scientist who obsesses over the quality of your solutions and their fast and scalable implementation to address and anticipate customer needs.Key job responsibilitiesBuild state-of-the art, robust and scalable Stochastic Optimization and Probabilistic Forecasting algorithms to drive optimal planning under uncertainty and execution in Amazon end-to-end supply chainDesign and engineer algorithms using Cloud-based state-of-the art software development techniquesThink multiple steps ahead and develop for long term solutions while continuously delivering incremental improvements to existing onesPrototype fast, ensure early adoption via pilots, integrate feedback into the models, and iterateOperationalize (i.e. deliver) your science solutions by closely partnering with internal customers, understand their needs/blockers and influence their roadmapLead complex analysis and clearly communicate results and recommendations to leadershipAct as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industryBASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- 3+ years of building models for business application experience- 2+ years experience with Stochastic Optimization techniques (e.g. Stochastic Linear Programming, Stochastic Dynamic Programming) and ML for Probabilistic Forecasting- Sharp analytical abilities, excellent written and verbal communication skills- Ability to handle ambiguity and fast-paced environment ...

We're looking for an experienced Applied Scientist with exceptional technical, analytical, and innovative capabilities to research, design, and create elegant machine learning solutions. Your solutions will help our advertisers with multi-media and multi-lingual advertising offerings, leveraging Generative AI, Deep Neural Networks, Natural Language Processing (NLP), and Computer Vision (CV). You will build ML models that localize multi-media advertising contents, including text, images and videos. You will also identify opportunities to leverage ML beyond localization, including, international expansion and global advertising. Your work will directly impact our customers in the form of products and services used directly by our advertisers as well as our third-party integrators.Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!The Advertiser Growth Engine (AGE) team owns and builds services and applications across Amazon World-Wide Advertising that make advertising across countries/languages as easy as flipping a switch. We are focused on: (1) expanding Amazon Ads advertiser base, and (2) eliminating localization, operational, and marketplace knowledge gap barriers for Advertisers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth globally.Key job responsibilitiesAs an Applied Scientist on this team, you will:- Build and deliver end-to-end machine learning solutions; build ML models and perform data analysis to deliver scalable solutions to business problems.- Work closely with senior leaders across science, engineering, and product disciplines to drive the team's roadmap and establish business requirements. - Perform hands-on analysis and modeling with enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.- Run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Research new innovate machine learning approaches.BASIC QUALIFICATIONS- 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

We are seeking a motivated and experienced Senior Applied Scientist with expertise in Machine Learning (ML), Artificial Intelligence (AI), Big Data, and Service Oriented Architecture. You should have a deep understanding of the digital advertising business and scaled marketing across communication channels. In this role, you will collaborate with a cross-functional team of talented scientists and engineers to innovate, iterate, and solve real-world marketing problems with cutting-edge AWS technologies. You will lead in-depth analyses of the key problems faced by Amazon Ads customers and the challenges faced by marketing teams in meeting customer needs at scale. To address these problems, you will build innovative large-scale ML/AI solutions such as bespoke omni-channel recommender systems, and specialized LLM-powered assistants for customers and marketers. You will independently drive research and prototyping to deliver functional proofs of concept (POCs), and then partner with engineers to inform the technology roadmap and deploy successful POCs as scalable batch and real-time applications in production.Key job responsibilities• Define and execute a research and development plan that enables data-driven marketing decisions and delivers inspiring customer experiences• Evaluate, evolve, and invent scientific techniques to effectively address customer needs and business problems• Establish and drive science prototyping best practices to ensure coherence and integrity of data feeding into production ML/AI solutions• Collaborate with colleagues across science and engineering disciplines for rapid prototyping at scale• Partner with engineering teams to solve complex technical problems, define system-level requirements, develop implementation plans, and guide the adaptation of techniques to meet production needs• Partner with product managers and stakeholders to define forward-looking product visions and prospective business use-cases• Drive and lead of culture of data-driven innovation within and outside across Amazon Ads Marketing organization• Influence organizational vision across Ads Marketing organizationAbout the teamThe Marketing Decisions Science team provides AI/ML products to enable Amazon Ads Marketing to deliver relevant and compelling guidance, education, and inspiration to prospective and active advertisers across marketing channels. We own the product, technology, and deployment roadmap for AI/ML products across Amazon Ads Marketing. We analyze the needs, experiences, and behaviors of Amazon advertisers at petabytes scale, to deliver the right marketing communications to the right advertiser at the right time. Our products enable applications and synergies across Ads organization, spanning marketing, product, and sales use cases.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Experience with popular Generative AI (Gen-AI) methods, such as supervised funetuning, reinforcement learning from human feedback (RLHF), direct preference optimization (DPO) ...

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.This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our cross-functional team focuses on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leading-edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi-turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields.We are seeking a science leader for our team within the Sponsored Products & Brands organization. You'll be working with talented scientists, engineers, and product managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and ads recommendation systems. Using a combination of generative AI and online experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon properties while enhancing the experience of hundreds of millions of Amazon shoppers worldwide. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilities - Serve as a tech lead for defining the science roadmap for multiple projects in the conversational ad experiences space powered by LLMs- Build POCs, optimize and deploy models into production, run experiments, perform deep dives on experiment data to gather actionable learnings and communicate them to senior leadership- Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production- Work closely with product managers to contribute to our mission, and proactively identify opportunities where cutting edge science can help improve customer experience - Research new machine learning approaches to drive continued scientific innovation- Be a member of the Amazon-wide machine learning community, participating in internal and external meetups, hackathons and conferences- Help attract and recruit technical talent, mentor scientists and engineers in the teamBASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.Interested in Machine Learning (ML) and Artificial Intelligence (AI)? Do you want to join the team that is building AI/ML features that will disrupt the industry? Do you enjoy dealing with ambiguity and working on hard problems in a fast-paced environment?Our team is leading the AI features of Amazon Connect. We are a team of scientists and AI/ML engineers working on multiple AI/ML projects, using state-of-the-art science and engineering practices to solve hard problems for our customers in the space of contact center operations, management and optimization.Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is a publicly available service based on ten years of development building the tools Amazon itself uses to provide its award-winning customer service. With Amazon Connect, businesses can create their own cloud-based contact centers and begin taking calls in minutes. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them. We are looking for a Senior Applied Scientist (Machine Learning) with a strong academic background and industry experience in the areas of stochastic modeling, queueing theory, anomaly detection and optimization.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- 4+ years of building machine learning models or developing algorithms for business application experience- Knowledge of programming languages such as C/C++, Python, Java or Perl- Deep knowledge stochastic analysis, queueing theory and optimization. ...

The Artificial General Intelligence (AGI) team is looking for a Senior Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for Amazon, working with other acclaimed engineers and world-famous scientists.Key job responsibilitiesJoin us to work as an integral part of a team that has diverse experience with GenAI models in this space. We work on these areas:- Scaling laws- Hardware-informed efficient model architecture, low-precision training- Optimization methods, learning objectives, curriculum design- Deep learning theories on efficient hyperparameter search and self-supervised learning- Reasoning, self-reflection, interactive learning, data synthesis- Distributed training methods and solutionsAbout the teamThe AGI team has a mission to push the envelope in LLMs and multimodal systems, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- PhD, or Master's degree and 5+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience with neural deep learning methods and machine learning- Experience programming in Java, C++, Python or related language- Experience with deep learning frameworks such as Pytorch and JAX. ...

The Automated Reasoning Group is looking for an Applied Scientist with experience in building scalable formal reasoning solutions that delight customers. You will be part of a world-class team building the next generation of tools and services by combining Automated Reasoning and Generative AI.AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things.You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills, are self-driven and own the delivery of high quality results in a fast-paced environment.Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/As a Senior Applied Scientist in AWS AI, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will:* Define and implement new formal reasoning applications that employ scalable and efficient approaches to solve complex problems using Automated Reasoning and Generative AI technologies.* Apply software engineering best practices to ensure a high standard of quality for all team deliverables* Work in an agile, startup-like development environment, where you are always working on the most important stuff* Deliver high-quality scientific artifacts* Work with the team to lower the barrier of adoption for interactive theorem provers* Work with the team to help drive business decisionsLearn and Be Curious. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.Key job responsibilitiesLead the design and implement scalable systems for formal reasoning and automated theorem proving.Collaborate closely with internal and external users to understand their requirements for formal verification and automated reasoning.Enhance and extend the capabilities of formal reasoning systems to meet application-specific demands.Proactively identify and explore new opportunities for deploying and leveraging formal reasoning solutions across various domains.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- M.S. or Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field- At least 6 years of industrial/academic experience in interactive theorem proving, LLMs, and/or automated reasoning.- At least 6 years of experience with programming languages such as Rust, Python, C/C++ and open-source technologies and open-source technologies- At least 6 years of experience in design and analysis of algorithms and data structures ...

AWS AI/ML is looking for world class scientists and engineers to join its group working on deploying reinforcement (RL) and machine learning (ML) methods in real-world applications, studying, and building new approaches. Our vision is to advance the state-of-the-art in RL/ML especially as applicability of RL methods has not translated quite well to real world scenarios as they are known to be expensive to train, sample inefficient, sensitive to hyper-parameter settings, and lacking transferability to new tasks. Our team’s mission is to study these problems and make RL/ML approaches more robust and reliable. Building these solutions requires a solid foundation in machine learning and reinforcement learning technologies.We are seeking a Senior Applied Scientist for the team. This is a role that combines science knowledge (around machine learning and reinforcement learning), technical strength, and product focus. It will be your job to develop novel ML/RL systems and algorithms while working with the engineering team to integrate them into different projects. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.About the teamInclusive Team CultureAt AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded scientist and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Lead the development of cutting-edge AI models to power Amazon's eCommerce ontology - the authoritative source of product knowledge driving exceptional customer experiences. Applied Scientists in this role solve problems related to product classification, attribute extraction, ontology modeling, data integration and enrichment, and scalable knowledge services. It's challenging due to the vast scale, heterogeneous data sources, and evolving domains, but exciting for pushing boundaries in ML, NLP, and knowledge representation research.If you're passionate about driving innovation at scale, we want to hear from you!Key job responsibilities- Lead the research and development of novel AI solutions to enrich and curate Amazon's product ontology (Product Knowledge) at scale- Develop scalable data processing pipelines and architectures to ingest, transform, and enrich product data from various sources (seller listings, customer reviews, etc.)- Collaborate with engineers to design and implement robust services- Work closely with product managers, stakeholders, and subject matter experts to identify opportunities for innovation and drive the roadmap for Product Knowledge- Mentor and upskill junior scientists and engineers, fostering a culture of continuous learning and knowledge sharing- Communicate complex technical concepts and research findings effectively to diverse audiences, including leadership, cross-functional teams, and the wider scientific community- Stay up-to-date with the latest advancements in machine learning, natural language processing, knowledge representation, and related fields, and identify opportunities to apply them to Product KnowledgeA day in the lifeThe Amazon product ontology is a structured knowledge base representing product types, attributes, classes, and relationships. It standardizes product data, enabling enhanced customer experiences through improved search and recommendations, streamlined selling processes, and internal data enrichment across Amazon's eCommerce ecosystem.You will work with following stakeholders:- Product Managers represent customer experiences and selling partner experiences- Category Leaders (e.g., apparel, electronics) provide domain knowledge and guidance as subject matter experts- Engineers build and maintain data pipelines and services in production- Ontologists design data models and define guidelines - Other Applied Scientists collaborate on research and innovationAbout the teamThe Product Knowledge team at Amazon is dedicated to creating the industry-standard eCommerce product and services ontology. Our diverse team of applied scientists, engineers, ontologists and subject matter experts build a comprehensive ontology enabling exceptional customer and selling partner experiences through high-quality, contextual product knowledge at scale.BASIC QUALIFICATIONS- 4+ years of applied research experience- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!Basic qualifications:* PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience* 3+ years of experience in building machine learning models for business application* Experience programming in Java, C++, Python or related languagePreferred qualifications:* Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.* Published research work in academic conferences or industry circles.* Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.* Technical leadership in machine learning.* Effective verbal and written communication skills with non-technical and technical audiences.* Experience working with real-world data sets and building scalable models from big data.* Thinks strategically, but stays on top of tactical execution.* Exhibits excellent business judgment; balances business, product, and technology very well.* Experience in computational advertising.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Key job responsibilitiesAs a Senior Applied Scientist on this team, you will:* Be the technical leader in Machine Learning; lead efforts within this team and across other teams.* Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.* Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.* Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.* Run A/B experiments, gather data, and perform statistical analysis.* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.* Research new and innovative machine learning approaches.* Recruit Applied Scientists to the team and provide mentorship.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...