New York

Amazon Advertising 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 Senior Account Manager’s strategic digital expertise and influence is considered critical to unlocking greater value and impact for our advertisers.Responsibilities - Become a knowledgeable partner and leader on Amazon Advertising solutions - Deliver the highest level of sales and customer service to our clients. - Retain and grow revenue from existing advertisers. - Drive deals to closure in a new business environment. - Develop annual media strategies for growth based on overall advertiser goals and objectives - Develop campaign strategies and audience engagement recommendations - Evaluate success metrics and drive campaign performance using data - Perform in-depth data analysis to form and deliver actionable recommendations for both short- and long-term advertising strategy - Educate advertisers on performance metrics, insights, and how to drive greater results - Work cross-functionally with Senior Sales and other Amazon partners to drive incremental revenue and increase advertiser satisfaction- Travel up to 25%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 Web Services (AWS) offers a complete set of cloud services that enable all companies, from startups to enterprises, to run virtually everything in the cloud, including mobile applications, big data analytics, AI/ML platforms, and microservices/serverless infrastructures. Startups, which are now primarily born-in-the-cloud, represent a critically important and growing subset of customers to AWS. Startups have unique needs, priorities, and growth trajectories that distinguish them from traditional businesses and require different engagement strategies and sales motions from sellers to effectively acquire, grow, and retain them long-term on the AWS platform.As AWS continues to rapidly grow, we seek an NYC Startup Account Manager to help drive the growth of high-potential early, mid, and late stage startups. Your responsibilities will include driving revenue and user adoption, migrations, and ensuring new startups select AWS as their primary cloud provider. You will align closely with counterparts in business development, marketing, solution architecture and partner teams to lead execution of coordinated go-to-market strategies and sales plays. You will also work closely with business development teams who are driving strategic support, global co-programming, and portfolio engagement to help drive top-of-funnel customer acquisition and accelerate seller cycles in the field.You will be at the heart of latest trends like artificial intelligence (AI), machine learning (ML), serverless and IoT. Your customers leverage state-of-the-art technologies on AWS to innovate and become the next disrupters, like today’s AirBnB, Slack, DoorDash, and Lyft. You are passionate about startups, a self-starter with a strong entrepreneurial spirit who is prepared to work in a fast-paced, often ambiguous environment, execute against ambitious goals, and consistently embrace the Amazon Culture.Key job responsibilities- Ensure customer success with early, mid and late stage startups- Drive revenue and market share in a defined territory or industry vertical- Accelerate customer adoption through well-developed sales engagements and successful GTM Strategy- Meet or exceed quarterly revenue and goal targets- Develop and execute against a comprehensive account/territory plan- Create & articulate compelling value propositions around AWS services- Accelerate customer adoption by engaging Founders, CxO, Board of Directors and VC influencers- Work with partners to extend reach & drive adoption- Develop long-term strategic relationships with key accounts- Ensure customer satisfaction- Expect moderate travelAbout the teamDiverse Experiences Amazon 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 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.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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here 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- 5+ years of full sales cycle, technology sales or equivalent business development, sales engineering/consulting or equivalent experience- Bachelor's degree or equivalent- Experience driving new business in greenfield accounts at the C-suite level or equivalent ...

Amazon Advertising 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 Senior 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 and leader on Amazon Advertising solutions- Deliver the highest level of sales and customer service to our clients.- Retain and grow revenue from existing advertisers.- Drive deals to closure in a new business environment.- Develop annual media strategies for growth based on overall advertiser goals and objectives- Develop campaign strategies and audience engagement recommendations- Evaluate success metrics and drive campaign performance using data- Perform in-depth data analysis to form and deliver actionable recommendations for both short- and long-term advertising strategy- Educate advertisers on performance metrics, insights, and how to drive greater results- Work cross-functionally with Senior 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 ...

Prime Video (PV) brings together the world’s best creators with the most passionate communities in a way that no other entertainment brand can. Not only are we a one-stop hub for distinctive, critically-acclaimed and award-winning original programming including TV series such as The Boys, The Marvelous Mrs. Maisel and Jack Ryan and movies like Air, Saltburn, The Idea of You, and Road House, but we offer a multi-dimensional experience that allows subscribers to fully immerse themselves in their fandom: to read the book, to listen to the soundtrack, to buy the costume, to replay live sports in real time, and more. And that breadth and connection to the Amazon family of brands, along with the support of a passionate and diverse global team, makes Prime Video a company where creators and makers of all kinds can build their future.As the Ads Product Strategist on the Prime Video Marketplace team, you will play a key role in shaping the advertising experience and monetization capabilities of third party Marketplace content. You will be responsible for defining Marketplace business objectives, authoring policies and feature proposals, driving adoption of solutions across Amazon product roadmaps, and maximizing the value of our technology investments. This role is complex, strategic and inherently cross-functional. You must have an understanding of ad-supported video distribution and the needs of customers and publishers alike in order to define business requirements and align solution pathways across partnership, legal, product and engineering teams. You will represent the Marketplace advertising vision as you innovate with stakeholders, navigate complex decisions, influence leadership and advocate for technology solutions.Throughout your work, you will need to demonstrate strategic and long-term thinking as well as strong cross-functional leadership, stakeholder management, and communication skills to effectively drive Marketplace advertising initiatives and deliver tangible business results.Key job responsibilities- Define and drive ad monetization objectives for third party channels- Organize and prioritize business requirements for operational planning and investment cycles - Translate deal requirements for engineering teams to align roadmaps against critical launches- Evaluate and communicate progress against key metrics, goals and financial results - Inform strategy, policy and operational procedures to drive product adoption and scale advertising capabilities globally- Author strategy briefs and incubate initiatives to drive innovation against long-term business strategiesA day in the lifeAs a Marketplace Ads Product Strategist, you will represent the business vision across the variety of product and engineering teams that support Marketplace experiences. You will spend your time evaluating streaming and distribution services, engaging with customers to understand their needs, and collaborating with stakeholders to advance business objectives. About the teamThe Product and Growth Strategy team is a newly organized team in Prime Video focused on driving customer outcomes for our Marketplace business lines: third party subscription channels, rent and buy titles, and live streaming TV. The team's mission is to evangelize the Marketplace business strategy and vision across stakeholder organization and maximize the value of our technology investments across our video Marketplace.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 5+ years of product or program management, product marketing, business development or technology experience- Experience with product cycles of 6+ months- Experience owning/driving roadmap strategy and definition- Experience with video distribution and ad monetization mechanisms- Experience managing programs across cross functional teams- Experience influencing internal and external stakeholders- Experience interpreting data and making business recommendations ...

Amazon Adapt is a program designed to offer coverage solutions for business gaps which may occur due to extended leave (parental, medical) and unexpected account transitions. Amazon Adapt deploys highly skilled, hyper-agile talent that ensures customers can continue to invest in their partnerships with Amazon Advertising, uninterrupted. The program ensures that the high bar for customer service, strategic partnership, and revenue attainment is maintained during these coverage gaps. As a member of the Amazon Adapt team, you will have the opportunity to work on a range of client businesses. This enables Adapt team members to experience high-velocity exposure to teams across the organization and to clients across different verticals. From day 1, Adapt team members must use their experience to earn trust with multiple stakeholders and take command of a new leadership role within a team. As a member of the Adapt team you will use your experience and vast knowledge in an array of work scenarios that affect internal stakeholders and clients. Adapt team members are decisive, knowledgeable, and use high judgement. The Adapt role will give you a chance to Learn and be Curious and the autonomy to own projects that will help you advance your career at Amazon. The Adapt team prioritizes flexibility, and hires for both 40 and 30 hour work weeks. If you are ready to make an immediate impact, embrace change, and accelerate your career at Amazon, come join us!Key job responsibilities- You deliver revenue while managing complex advertiser goals and problems to drive revenue- You grow existing client revenues that may expand regionally- Become an expert on Amazon solutions and adapt recommendations based on advertiser needs- You are able to solve ambiguous problems and identify and mitigate risks before they become roadblocks- You leverage your mastery of media and communications to develop annual brand plans and campaign media plans- You create and/or identify new insights based on multiple first-party and third-party research - You educate customers based on customized insights- You provide in-depth data analysis to develop actionable insights and recommendations for future campaigns- This is a client facing role and requires up to 20% domestic travel as needed or 1x per month on average. Global travel may be required up to 2 times annually.A day in the lifeAs an Sales Account Manager on the Adapt team, you will work with internal and external customers to create and execute advertising strategies while driving incremental revenue. You will rotate across teams and verticals to cover open books of business due to leaves of absence and use your experience and vast knowledge in an array of work scenarios to drive value for internal stakeholders and clients. You will consult the client to define goals and work backwards to develop a curated advertising strategy to achieve it. You use complex, data-driven insights to enrich advertisers' understanding of their campaigns, objectives and even business. Internally you work closely with Sales, Creative, Product, and other internal partner teams to drive advertiser success.About the teamAdapt Rapid Response is a scaled business solution, providing short-term support via a task-based assignment queue. ARR's primary function is to protect all unassigned revenue due to declined dedicated Adapt support for leave of absence (LOA) in Adapt’s established locales, preventing the randomization of the core teams due to attrition or unexpected business growth. Additionally, the team can be further optimized by pivoting to high priority needs (tentpoles, seasonality shifts) or accelerate business with time-bound initiatives (pitch sprints), as ARR is not tied to specific accounts. While the ARR service model is a limited coverage solution, removing high complexity activities, we are a strategically focused team and we hold a high standard for the quality of work we deliver.Business proficient Spanish is desired.BASIC QUALIFICATIONS• Bachelors’ degree in Economics, Marketing, Advertising, Statistics, Engineering or Business• Significant experience in a client facing role including but not limited to digital marketing, analytics etc.• Experience in display or search marketing• Adept at solving problems that span business and technology• Influence process improvement that scales broadly; inventing and simplifying within existing processes• Excellent organizational, relationship-building, and communication (written and verbal) skills• Programmatic strategy and implementation experience• Proven track record of delivering results (including revenue targets) and significantly contributing to advertiser revenue growth ...

This role is open to NY and Los Angeles. Amazon Advertising exists at the intersection of marketing and ecommerce and offers advertisers a rich array of innovative advertising solutions across Amazon owned properties as well as third party properties Amazon operates. We believe that advertising, when done well, can greatly enhance the value of the customer experience and generate a positive return on investment for our advertising partners. We are looking for a highly skilled and motivated Associate Principal in our Analytics & Insights Group (AP, A&I) to help scale our growing advertising business. The A&I team is a group of customer-facing data and marketing scientists within Amazon Ads. We work directly with the largest Amazon Ads customers, helping them leverage Amazon’s unique data signals in the form of insights so that they can run more effective Advertising campaigns. In this role, you will work with leadership from our Ads customers and our internal sales teams to: 1) Set marketing strategy to drive performance on and off the Amazon store using Amazon Ads as an input; 2) Design and analyze success metrics for marketing campaigns; 3) Create insight driven learning agendas to achieve customer goals; 4) Communicate recommendations to executive leadership in a clear and compelling fashion. Key job responsibilitiesYou will: · Use Amazon’s data and your understanding of our advertising customers’ business to provide guidance to C-suite marketing leaders through business reviews and frequent in-person presentations to regularly iterate on and articulate a brand’s strategy. · Present findings and insights in a consultative way to the customer and collaborate with relevant internal teams in order to provide a complete solution. · Be able to deal with ambiguity in order to decipher complex problems, select an ideal solution from a wide array of analytic techniques and concepts and translate into actionable requirements for your team. · Have the ability to collaborate, work cross-functionally and communicate effectively across multiple business functions and geographies. · Create and deliver bespoke analyses and insights for some of the world’s largest advertisers to drive growth across advertiser KPIs and help them grow their businesses. · Demonstrate deep analytical ability, and develop great expertise in Amazon’s proprietary metrics, working to constantly evolve how we analyze and communicate data driven insights to our advertisers. · Educate other teams on Amazon media offerings and keep them engaged by delivering learning sessions, writing training documentation and whitepapers for internal and external use.A day in the lifeCheck out this post from a current team member explaining a day in the life on the A&I team: https://www.linkedin.com/feed/update/urn:li:activity:7227708010918227968/ BASIC QUALIFICATIONS- 7+ years of external or internal customer facing, complex and large scale project management experience- 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience- Bachelor's degree- 7+ Years of Consulting/ Advisory experience ...

AWS AI is looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML). As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon’s heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding.We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI.About the teamDiverse 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.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.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 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Help AWS Build the Future!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'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 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

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.The Sponsored Brands Advertiser Control team is a versatile environment, with a wide variety of challenges. We guide advertisers to make informed decisions by sharing insights and forecasts. We help advertisers deliver effective campaigns automatically by optimizing bids and targets on behalf of them. We enable advertisers to achieve brand advertising goals with maximum efficiency. We look at mega size data from both retail and advertising space, and coming up with ML and DL based science solutions through multiple products. In this role you will: - Research and build innovative machine learning and deep learning models utilizing the latest technologies such as LLM to provide personalized targeting, real-time forecasting and simplify campaign creation and management- Develop optimization solutions to automate bidding , targeting and budgeting on behalf of advertisers - Perform hands-on big data analysis and modeling to develop insights that increase advertiser monetization and merchandise sales without compromising shopper experience. - Design and 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. - Write production code to bring models into production. - Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production. - Work with scientists and economists to model the interaction between organic sales and sponsored content and to further evolve Amazon's marketplace.Why you love this opportunity Amazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering a collection of self-service performance 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 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 fundamentally 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. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us BASIC QUALIFICATIONS- PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience- 5+ years of building models for business application experience- Experience programming in Java, C++, Python or related language ...

Amazon is investing heavily in building a world class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses for 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.We are seeking a technical leader for our Supply Science team. This team is within the Sponsored Product team, and works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. The team operates with the dual objective of enhancing the experience of Amazon shoppers and enabling the monetization of our online and mobile page properties. Our work spans ML and Data science across predictive modeling, reinforcement learning (Bandits), adaptive experimentation, causal inference, data engineering.Key job responsibilitiesSearch Supply and Experiences, within Sponsored Products, is seeking an Applied Scientist to join a fast growing team with the mandate of creating new ads experience that elevates the shopping experience for our hundreds of millions customers worldwide. We are looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model– and leveraging this knowledge to help turn the flywheel of the business.As an Applied Scientist on this team you will:--Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.--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.--Work closely with software engineers to assist in productionizing your ML models.--Research new machine learning approaches.A day in the lifeThe successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the direction is a must.About the teamWe are a customer-obsessed team of engineers, technologists, product leaders, and scientists. We are focused on continuous exploration of contexts and creatives where advertising delivers value to customers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on AmazonBASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. 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.The Search Ranking and Interleaving (R&I) team within the Marketplace Intelligence org in SP is responsible for determining which ads to show in Amazon search, where to place them, how many ads to place, and to which customers. This helps shoppers discover new products while helping advertisers put their products in front of the right customers, aligning shoppers’, advertisers’, and Amazon’s interests. To do this, we apply a broad range of machine learning, causal inference, and optimization techniques to continuously explore, learn, and optimize the ranking and allocation of ads on the search page. We are an interdisciplinary team with a focus on customer obsession and inventing and simplifying. Our primary focus is on improving the SP experience in search by gaining a deep understanding of shopper pain points and developing new innovative solutions to address them.We are looking for an Applied Scientist to join the Search Ranking team in MI. The team is responsible for improving the quality of ads shown to users (e.g., relevance, personalized and contextualized ranking to improve shopper experience and business metrics) via online experimentation, ML modeling, simulation, and online feedback. As an Applied Scientist on this team, you will identify big opportunities for the team to make a direct impact on customers and the search experience. You will work closely with with search and retail partner teams, software engineers and product managers to build scalable real-time ML solutions. You will have the opportunity to design, run, and analyze A/B experiments that improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact while broadening your technical skillset. Key job responsibilities- Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions.- Develop efficient algorithms for multi-objective optimization using deep learning methods to find operating points for the ad marketplace then evolve them- Research new and innovative machine learning approaches.BASIC QUALIFICATIONS- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

About Amazon Advertising:Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers of all types 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 mobile devices. 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.About our team:Our team, CreativeX optimizations, is responsible for tailoring the visual experience of ads to each context in real time. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), reinforced learning (RL), Computer Vision, and related methods.Key job responsibilitiesWe are looking for talented Applied Scientists who are adept at a variety of skills, especially with reinforcement learning and recommendations, and familiarity with LLMs, latent diffusion, or related foundational models that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring cutting edge research to raise the bar within the team.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Join us in the evolution of Amazon’s Seller business! The Selling Partner Recruitment and Success organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.We are looking for an Applied Scientist II to lead us to identify data-driven insight and opportunities to improve our SP recruitment strategy and drive new seller success. As a successful applied scientist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user and builder of statistical models and put them in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).Key job responsibilitiesAs an Applied Scientist on the team, you will:- Identify opportunities to improve SP recruitment and development process and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL).- Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps.- Lead and execute roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers.- Work with our engineering partners and draw upon your experience to meet latency and other system constraints.- Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver.- Be responsible for communicating our science innovations to the broader internal & external scientific community.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Are you passionate about innovating and delivering shopping experiences that empower every Amazon customer based on their unique shopping intent? Are you looking for new challenges and solving hard problems while using top-notch LLM and GenAI techniques? Join us and you'll help millions of customers to make informed purchase decisions from a multi-billion product selection!Key job responsibilitiesYou’ll be utilizing your Generative AI, time series and predictive modeling skills, and creative problem-solving skills to drive new projects from ideation to implementation. You will lead efforts in foundational models to develop new approaches to Personalization, and provide opportunities for scientists and engineers to invent and implement scalable ML recommendations supporting new Customer Experiences. Your science expertise will be leveraged to research and deliver often novel solutions to existing problems, explore emerging problems spaces, and create or organize knowledge around them. You’ll publish papers and file patents. And you’ll work closely with engineers to put your ideas into production. You will participate in the Amazon ML community by authoring scientific papers and submitting them to ML conferences. About the teamThe Discover Innovation team is dedicated to assisting customers in fulfilling their shopping objectives and empowering other Amazon teams by leveraging our deep understanding of customer intent. Our team’s mission is to delight customers by helping them discover the right content at the right time, tailoring the shopping experience to the customer’s intent and unique shopping objectives. We are a team of dedicated Scientists, Engineers, and Designers working together to deliver new, personalized shopping experiences. In tailoring the shopping experience to each customer’s intent, we envision operating seamlessly across Amazon as a talented personal shopping assistant — a partner that is trusted, knowledgeable, and understands your unique preferences. BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

The Think Forward Lab team at Deep Science for Systems & Services (DS3), AWS AI/ML is looking for world class scientists and engineers to join its group working on deployment of autonomous agents. Agents with full autonomy need to be trustworthy and verifiable. The team develops AI systems that exhibit autonomous proficiency across a wide range of domains, demonstrating competency in many (complex) tasks previously performed by human knowledge workers. Such agents sense, plan, and act effectively in interactive and previously unseen environments. To accomplish this goal we are seeking scientists with expertise in large language models, user alignment, neuro-symbolic AI, synthetic data generation and agentic environments. This is a role that combines science knowledge, technical strength, and product focus. It will be your job to develop novel generative AI-based agentic systems and algorithms while working with the engineering team to integrate them into different projects in the AWS AI portfolio of services. 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.Key job responsibilitiesYou will be a hands on contributor to science at Amazon. You will help raise the scientific bar by mentoring, educating, and publishing in your field. You will help build the scientific roadmap for agents, neuro-symbolic AI and LLMs. You will be a technical leader in your domain. You will be a strong mentor and lead for your team. About the teamThe DS3 org encompasses scientists who work closely with different AWS AI/ML product services, innovating on the behalf of our customers customers. About AWS Diverse Experiences AWS 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 applyingAWS 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.Why 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- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

The Think Forward Lab team at Deep Science for Systems & Services (DS3), AWS AI/ML is looking for world class scientists and engineers to join its group working on deployment of autonomous agents. Agents with full autonomy need to be trustworthy and verifiable. The team develops AI systems that exhibit autonomous proficiency across a wide range of domains, demonstrating competency in many (complex) tasks previously performed by human knowledge workers. Such agents sense, plan, and act effectively in interactive and previously unseen environments. To accomplish this goal we are seeking scientists with expertise in large language models, user alignment, neuro-symbolic AI, synthetic data generation and agentic environments. This is a role that combines science knowledge, technical strength, and product focus. It will be your job to develop novel generative AI-based agentic systems and algorithms while working with the engineering team to integrate them into different projects in the AWS AI portfolio of services. 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.Key job responsibilitiesYou will be a hands on contributor to science at Amazon. You will help raise the scientific bar by mentoring, educating, and publishing in your field. You will help build the scientific roadmap for agents, neuro-symbolic AI and LLMs. You will be a technical leader in your domain. You will be a strong mentor and lead for your team. About the teamThe DS3 org encompasses scientists who work closely with different AWS AI/ML product services, innovating on the behalf of our customers customers. About AWS Diverse Experiences AWS 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 applyingAWS 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.Why 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- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

About Amazon Advertising:Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers of all types 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 mobile devices. 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.About our team:SPB Brand Identity Team is on a mission to make Amazon the best in class destination for all brand needs. Our team builds a centralized brand identity datastore responsible for creating brands, mapping advertisers, products, and ads to brands. This enables our advertisers and customers to tell engaging brand stories through mappings generated and delivered by our team. We also enables customer-brand engagement enhancement through a UI allowing advertisers to self-manage and correct any mappings. Together these mappings are used by dozens of internal teams to generate measurement reports, brand intelligence, similar brands (i.e. substitutes), shopper/brand signals, etc. About this Role:We are looking for a passionate, talented Applied Scientist in the field of Natural Language Processing (NLP), Large Language Model (LLM), Ads Recommender Systems, Data Mining and Feature Engineering, and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware Brand Understanding. A successful candidate will have strong machine learning background and a desire to push the boundary of one or more of the above areas. The ideal candidate is expected to leading the effort of building key ML features, contribute to the collaborative and innovative spirit within the team, and bring cutting-edge applied research to raise the bar within the team.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

About Amazon Advertising:Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers of all types 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 mobile devices. 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.About our team:Our team, CreativeX optimizations, is responsible for tailoring the visual experience of ads to each context in real time. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), reinforced learning (RL), Computer Vision, and related methods.Key job responsibilitiesWe are looking for talented Applied Scientists who are adept at a variety of skills, especially with reinforcement learning and recommendations, and familiarity with LLMs, latent diffusion, or related foundational models that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring cutting edge research to raise the bar within the team.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

AWS Marketplace is looking for world class scientists to join its AWS Marketplace (MP) in its journey to evolve AI based customer experiences. This group is entrusted with developing core natural language processing, generative AI, deep learning and machine learning algorithms for AWS, with a focus on code development, broadly defined. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. As a senior Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.You take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve. You drive mindful discussions with customers, engineers, and scientist peers. You bring perspective and provide context for current technology choices, and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome.About the teamDiverse ExperiencesAWS 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 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. Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices.BASIC QUALIFICATIONS- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language ...

The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of their ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.As an Applied Scientist on the team, you will lead measurement solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers.Key job responsibilities- Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems- Disambiguate problems to propose clear evaluation frameworks and success criteria- Work autonomously and write high quality technical documents- Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production- Partner closely with other scientists to deliver large, multi-faceted technical projects- Share and publish works with the broader scientific community through meetings and conferences- Communicate clearly to both technical and non-technical audiences- Contribute new ideas that shape the direction of the team's work- Mentor more junior scientists and participate in the hiring processAbout the teamWe are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.Team Video: https://youtu.be/zD_6Lzw8raEBASIC QUALIFICATIONS- 2+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience building machine learning models or developing algorithms for business application ...