Amazon.com Services LLC

Are you excited about developing generative AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. This role is for the AFT AI team which has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.We are looking for an Applied Scientist with expertise in computer vision. You will work alongside other CV scientists, engineers, product managers and various stakeholders to deploy vision models at scale across a diverse set of initiatives. If you are a self-motivated individual with a zeal for customer obsession and ownership, and are passionate about applying computer vision for real world problems - this is the team for you. Key job responsibilities- You will be part of a team of scientists and engineers and will work on scaling systems to production along side partner teams.- You will learn how to build robust solutions that operate at Amazon scale, and work with senior technical leaders to grow your skills.- You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. - You will design and implement scalable solutions and solve complex problems- You will mentor and coach junior software developers- You should be a great communicator and should be motivated to achieve results in a fast-paced, and at times ambiguous, environment- You should be a self-starter with a bias towards independent problem solving.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.Our team is the central machine learning and computer vision team supporting all of AFT. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.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 developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms- 1+ years of building models for business application experience ...

The goal of the Americas Account Compliance team is to implement effective controls to ensure regulatory compliance while continuously improving the customer experience. We are expanding our team and seeking a dynamic candidate to drive our AML and customer experience initiatives while maintaining an optimal SX as we grow.The AML and Account Compliance Program Manager will be responsible for overseeing the expansion and enhancement of the organization's anti-money laundering (AML) program and compliance program as the business grows and evolves. The role also includes oversight of controls for the INFORM Consumers Act (for US customers) as well as oversight of tax compliance and other seller experience initiatives for the Americas. This role involves developing and implementing AML-related risks and compliance requirements across new products, services, markets, and channels while also emphasizing on best in class customer experience. The manager will work closely with compliance, risk, operations, and technology teams to ensure the AML program keeps pace with evolving business needs and regulatory requirements.Key job responsibilities• Develop and execute a comprehensive strategy to extend the organization's AML compliance framework in alignment with business objectives and regulatory expectations• Collaborate with business leaders to understand emerging compliance risks and requirements associated with new initiatives and develop appropriate AML mitigations• Continuously develop and enhance the tax compliance and seller experience processes and controls for sellers in the Americas• Own the design and implementation of enhancements to AML customer due diligence, reporting capabilities, and overall SX• Oversee the development and deployment of new AML-related technologies, tools, and data sources• Establish AML policies, procedures, and training programs to support the expansion of the compliance framework• Manage AML-related projects, including resource planning, budgeting, and stakeholder communication• Provide strategic guidance and subject matter expertise to cross-functional teams on AML compliance matters• Report on the performance, initiatives, and ongoing enhancements of the AML program to senior management and the board of directorsAbout the teamHere at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Our 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. Our 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. We care about your career growth and strive to help each team member develop into a better-rounded professional.BASIC QUALIFICATIONS- 5+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience- Bachelor's degree or equivalent- Experience establishing successful partnerships with internal and external teams to execute tactical initiatives or equivalent- Experience in program requirements definition, together with data and metrics leveraging to drive improvements- Experience with AML and related technologies, data analytics, and automation ...

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an Area Manager. In this role, you will lead a team of hourly workforce and will be responsible for engaging your team during their shifts to maintain the highest levels of safety, quality, attendance, and performance. You will also play a key role in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location.Our Operation’s workflow has three major components: First mile - where the product is housed and ready for order; Middle mile - where the order is hauled to your area; and Last mile - when the product is delivered to the customer’s door. Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer.Key job responsibilities* Support, mentor, and motivate your hourly workforce* Manage safety, quality, productivity, and customer delivery promises* Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectives* Lift up to 49 pounds and frequently push, pull, squat, bend, and reach* Stand/walk for up to 12 hours during shifts* Work in an environment where the noise level varies and can be loud* Work in an environment that is subject to variable temperatures and weather (delivery stations include outside loading departments)* Continuously climb and descend stairs (applies to sites with stairs)Our fulfillment network launches new Operations sites every year, providing various opportunities for your professional growth. We hire Area Managers based on location preference and the business’ current openings.BASIC QUALIFICATIONS- 2+ years of employee and performance management experience- Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays ...

Amazon's Consumer Electronics Tech (CE Tech) organization is seeking an Applied Science Manager to lead, manage, and grow a team of talented Applied Scientists. This team leverages Artificial Intelligence (AI) including Generative AI (GenAI) and state of the art Machine Learning (ML) techniques to build the next-generation experiences for customers shopping on the Amazon website and the mobile app. Many of the initiatives we prioritize have broad, cross-category scope and impact, from developing innovating science solutions to improve personalized product attach recommendations, generating detail page content for Bundle ASINs, developing solutions for the evaluation and benchmarking of Large Language Models for a variety of use cases, etc. In 2024, we also launched the fastest growing and most used AI Assistant by Amazonians using Anthropic's Claude LLMs. As the AS manager, you will be leading an exciting and diverse portfolio of AS initiatives, and you will have strong influence on our prioritization. Key job responsibilitiesThis role has 3 main responsibilities: 1) Set the strategic vision for the Applied Science team in collaboration with key stakeholders, and drive the vision forward. This includes up-leveling the team's profile within the broader SVP org and identifying collaboration opportunities with other teams and execute on them, as well as contributing actively to annual planning, product roadmap prioritization, and maintaining a high bar on operational excellence, 2) Create mechanisms for the smooth functioning of your team, including mechanisms for auditing, sprint planning, and execution, 3) Hire & Develop your team, including creating appropriate scope of work for your team members to set them up for success.Your team will partner closely with Product Managers, Software Development Managers, and Software/ML engineers to envision, and bring to life features and experiences that delight Amazon shoppers WW. In addition, this team also invests in developing strong thought leadership with cross-organization influence, as well as publishing papers at prestigious internal and external AI / ML conferences. As the Applied Science Manager, you will be responsible for guiding your team in the creation and deployment of sophisticated algorithms and models that drive measurable improvements in customer satisfaction and business metrics. You will identify high-impact opportunities and translate complex business problems into actionable data science solutions. BASIC QUALIFICATIONS- 5+ years of scientists or machine learning engineers management experience- 6+ years of building machine learning models or developing algorithms for business application experience ...

Amazon Selling Partner Recruitment and Success is seeking a dynamic and motivated Account Representative for our Direct Sales new business development team. The Account Representative will be responsible for recruiting and launching new brands within the Softlines, Hardlines, Seller Growth, BBA or Consumables category. Key job responsibilitiesThis person will be the primary point of contact for those companies throughout the entire sales process. The Account Representative will be chartered with developing and managing a sales pipeline mix of both high value and transactional accounts while executing sales strategies to secure deals that will exceed aggressive account acquisition and output goals. Specifically, this individual will be responsible for identifying and building relationships with key influencers and decision-makers within the senior management and executive teams of prospective accounts, along with internal stakeholders and cross-functional teams to create and present compelling Amazon solutions that meet and exceed customer requirements.As an organization, Amazon’s North American Seller Services is uniquely highly influential by coordinating across Amazon customers, Amazon category teams and Amazon Sellers. We are a business development organization; we drive growth for over 2MM Amazon Sellers through business intelligence, cross-selling efforts and integrated Account Management. We are successful by focusing on aggressive growth for our Sellers’ businesses.A day in the life - Identify, qualify, acquire and grow seller commitment to Selling on Amazon programs. - Analyze customer data and make recommendations in order to maximize the potential of the assigned territory. Execute successfully on the plan recommended. - Implement and track metrics for recording the success and quality of the sellers in your territory. Use these metrics to guide your work and uncover hidden areas of opportunity. - Manage complex contract negotiations and serve as a liaison to the legal team. - Prospect and close business to achieve quarterly quota targets for both the quantity and quality of sellers recruited. - Understand and utilize the right tools to track all pertinent account information and sales progress as well as forecast and prioritize to achieve quarterly quota goals. - Develop a thorough understanding of the e-commerce and Softlines industry and competitive environment including knowledge of competitive product offerings. - Prioritize and complete additional projects while maintaining current book of business such as mentorship, competitive analysis, and sales analysis. - Prepare and deliver business reviews regarding progress and state of health for the respective territory. - Meet or exceed quarterly revenue targets and operational metrics. - Create and articulate compelling value propositions around the Selling on Amazon product. - Develop a clear understanding of the Selling on Amazon products along with the features and functionalities. - Assist internal partners to drive change, remove roadblocks and close business.About the teamSelling Partner Services (SPS) touches all selling partner brands, from the small business with a great idea, to the large global corporation. Our tools and services support growth and help sellers thrive with Amazon.BASIC QUALIFICATIONS- Bachelor's degree or equivalent, or 3+ years of sales or marketing work (like e-commerce, retail technology, SaaS) or equivalent experience ...

Join us in a historic endeavour to make Computer Vision accessible to the world with breakthrough research! The AWS AI Labs: Vision team has a world-leading team of researchers and academics, and we are looking for world-class colleagues to join us and make the AI revolution happen. Our team of scientists develops the algorithms and models that have powered AWS computer vision services such as Amazon Rekognition, Amazon Textract, and Amazon Lookout for Vision. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. AWS is the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems which will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. Our research themes include, but are not limited to: few-shot learning, transfer learning, unsupervised and semi-supervised methods active learning and semi-automated data annotation, large scale image and video recognition, face detection and recognition, document OCR and scene text recognition, document understanding, 3D scene and layout understanding, and localization and mapping. We are hiring for all our locations in the USA (Seattle, Pasadena, Bay Area) and Israel (Haifa and Tel Aviv). About Us Inclusive Team Culture Here at 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 Balance Our 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 Growth Our 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 and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. About the teamAbout AWSDiverse 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. This team is part of AWS Utility Computing: 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.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 Seller Services (www.amazonservices.com) is seeking a dynamic and motivated Account Executive for the Seller Growth sales development team. We are a fast-growing, e-commerce marketplace business focused on accelerating growth of US domestic 3P Selling Partners into medium and large scale businesses by providing bespoke strategic advice in order to develop their business on the Amazon store.This role will focus on building trust through win-win relationships with 3P Selling Partners to drive engagement and adoption of growth-driving programs. We help accelerate program adoption for key growth opportunities by coaching Sellers on the fundamental building blocks to develop their business long-term on Amazon.com consisting but not limited to Fulfillment by Amazon (FBA), Amazon Advertising, Amazon Brand Registry, etc.Key job responsibilitiesThis individual will work with internal stakeholders and cross-functional teams to create and present compelling Amazon solutions that meet and exceed customer requirements. You will be chartered with managing a strategic sales pipeline to deliver sales results and ensure Seller satisfaction. This individual will be responsible for building relationships with senior and executive level decision-makers to accelerate growth lever adoption.• Deliver the highest level of sales and customer service to our strategic sellers.• Retain and grow revenue from existing. • Utilize Sales CRM tools to track all pertinent account information and sales progress as well as forecast and prioritize to achieve quarterly quota goals.• Understand and learn about the e-commerce industry and competitive environment including knowledge of competitive product offerings.• This role currently requires a minimum of three days working from the assigned office a week and will require travel as needed. Beginning January 2, 2025, the expectation will be five days a week of in office presence with travel as needed.A day in the lifeAbout the teamOur team is dedicated to supporting new members thrive in their career. We have a broad mix of experience and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We strive for an open environment to expand on your strengths while isolating growth opportunities in order to drive longer term career success.BASIC QUALIFICATIONS- Experience positioning and selling innovative solutions to new and existing customers and market segments- Experience with Microsoft Office products and applications- Experience with sales CRM tools such as Salesforce or similar software- Bachelor's degree or equivalent ...

Amazon is looking for a talented Postdoctoral Scientist to join our Perfect Order Experience (POE), Trustworthy Shopping Experience (TSE) team for a one-year, full-time research position. Postdoctoral Scientists will drive data-driven innovations in decision optimization and causal inference.In this role, you will have the opportunity to:- Leverage advanced statistical techniques and machine learning models to extract valuable insights from historical data and comparable item information.- Tackle data scarcity challenges by developing innovative approaches to maximize the utility of available data sources.- Collaborate with cross-functional teams to develop and deploy production-ready solutions.- Participate in research activities, including publishing papers, attending conferences, and collaborating with academic institutions to advance the state-of-the-art in relevant fields. Key job responsibilitiesIn this role you will:• Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.• Publish your innovation in top-tier academic venues and hone your presentation skills.• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. About the teamWe are a Center of Excellence of building economic solutions to optimize the return of investment at the program level and at the decision level. We focus on projects that have the largest impact and greatest long term potential across the business. Our products are models, scalable services and actionable insights. We proactively identify and explore opportunities on behalf of our business partners.BASIC QUALIFICATIONSBasic qualifications include: - PhD in a relevant field, received within 2 years of starting the program- Proven publication record in Operation Research, Statistics, Machine Learning, Computer Science, Econ, or other related technical fields- Experience in quantitative research and foundation models- Proficiency in technologies relevant to the subfield ...

Are you excited about using decision (optimization) and data (ML) sciences to make multi-million dollar decisions more Data, Science and Analytics Driven? Are you interested in price optimization, promotion planning and what-if simulations to enable in-period promotion and long-term financial planning? Do you want to be a part of a multi disciplinary science team focuses on tackling some of the big business problems with within the Devices business at Amazon? Then this could be the role for you!The Amazon Devices & Services Demand Planning and Product Development (DEPD) team is seeking an outstanding scientist with strong analytical and communication skills to help with pricing optimization and promotion planning for the entire Amazon device family of products and services. Amazon Devices represents a highly complex space with 100+ products across several product categories that includes Echo, Kindle, Fire Tablets, Amazon TVs, Amazon Fire TV sticks, Ring, and other smart home devices for sale both online and in offline retailers globally.We develop scalable and robust state-of-the-art deterministic and stochastic optimization models and algorithms, and what-if scenario planning simulation tools with (linear and dynamic) price optimization and promotion planning. With better price optimization and promotion planning, we manage demand and drive down promotion and supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers globally.We are looking for an Applied Scientist with background in Operations Research, Optimization, Supply Chain, Industrial & Systems Engineering and/or Simulation.In this role, you will have an opportunity to both develop advanced scientific solutions, and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data, building, managing and improving optimization, simulation and HOTW decision models, building prototypes and products, and exploring conceptually new solutions, to working with partner teams for prod deployment that will be used primarily for Promotion Optimization and Scenario Planning Capabilities for in-period promotion, and long-term financial planning. You will collaborate closely with scientists, engineering peers as well as business stakeholders. You will be at the heart of a growing and exciting focus area for Amazon Devices and Services.You are an individual with outstanding analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems. You will be responsible for researching, prototyping, experimenting, analyzing prescriptive optimization models and developing smart automation solutions.Key job responsibilities- Research, design, prototype, experiment and implement advanced optimization algorithms and models to address challenging business problems by using modeling languages such as Python; participate in the production level deployment- Collaborate with cross-functional teams including product management, marketing, and operations to translate model insights into actionable business strategies- Develop and maintain optimization frameworks, libraries, and tools to enable scalable and efficient optimization and automation capabilities - Analyze optimization results, identify bottlenecks, and continuously improve the performance and accuracy of optimization models - Stay up-to-date on the latest academic research and industry best practices in optimization techniques and tools, and identify opportunities to apply new approaches- Create and track accuracy and performance metrics (both technical and business metrics)- Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders- Drive best practices on the team; mentor and guide junior members to achieve their career growth potentialA day in the lifeOur 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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.About the teamThe vision for Cognitive Science Team is to deliver science-enabled HOTW demand planning and shaping solutions for Devices Product Lines to support our partners’ decision making processes. We will accomplish our vision by (1) utilizing accelerated applied science with optimization, simulation, scenario planning, Machine Learning and Generative AI (in 2025), (2) performing rapid research & innovation, developing incremental products, and automating processes, (3) developing optimized price and promotion planning, (4) developing high confidence long-lead time marquee unit demand forecasts for Amazon Devices.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- Experience in optimization: linear, non-linear, mixed-integer, large-scale, network, robust, stochastic and/or dynamic ...

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 ...

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations re-imagine 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, unlocking our potential worldwide.The Amazon Business (AB) 3rd Party Supplier Sales Team is driving the next wave of growth for our Business Sellers (Enterprise & SMB). We relentlessly innovate with our Sellers across a broad spectrum of functions including: expanding selection, offering everyday low prices, improving our world-class delivery program, and providing exceptional convenience. We are disrupting the status quo by delivering new, efficient buying and selling solutions to individual proprietors, small-medium businesses, global organizations, and everything in between.Key job responsibilitiesAmazon Business is seeking a dynamic and motivated Sales Professional for our third-party supplier sales team. The Account Representative will be responsible for launching new accounts with brand owners, distributors, resellers, and independently owned businesses to list and sell products to business customers in the Amazon Business store. The ideal candidate will have experience in owning the complete sales cycle from pipeline development through closing the sale and post-close engagement.Our Sellers are our Customers, and we want you to bring a passion for their success to this role, with a focus on helping them launch effectively, steadily increase their business, and improve their experience selling with Amazon BusinessDevelop and execute a launch playbook for the scaled recruitment and growth of prioritized B2B selectionDevelop and manage launch plans in tandem with customer teams, category teams, OEMs/Brands, Distributors, Operations, Integration, Account Management, and Marketing teamsIdentify and build relationships with key influencers and decision makers within prospect targetsDrive seller performance improvements using targeted levers across selection, listing quality, pricing, and fulfillment. This in-office role can be based in one of the following locations: Seattle WA, Austin TX, Phoenix AZ.BASIC QUALIFICATIONS- 1+ years of professional or military experience- Knowledge of Microsoft Office products and applications- Experience prospecting, qualifying, and cold-calling companies ...

We are seeking a talented applied researcher to join the Whole Page Planning and Optimization (WPPO) Science team in Search. The latest data from Business Insider shows that almost 50% of online shoppers visit Amazon first. The Search WPPO Science team is responsible for developing reinforcement learning systems for the next generation Amazon shopping experience and delivering it to millions of customers. We believe that shopping on Amazon should be simple, delightful, and full of WOW moments for EVERYONE, whether you are technically savvy or new to online shopping.As an Applied Scientist, you will be working closely with a team of applied scientists and engineers to build systems that shape the future of Amazon's shopping experience by automatically generating relevant content and building a whole page experience that is coherent, dynamic, and interesting. You will improve ranking and optimization in our algorithm. You will participate in driving features from idea to deployment, and your work will directly impact millions of customers.You are going to love this job because you will:* Apply state-of-the-art Machine Learning (ML) algorithms, including Deep Learning and Reinforcement Learning, to improve hundreds of millions of customers’ shopping experience.* Have measurable business impact using A/B testing.* Work in a dynamic team that provides continuous opportunities for learning and growth.* Work with leaders in the field of machine learning.Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world's leading internet companies. We provide a highly customer-centric, team-oriented environment.A successful candidate will have a solid research background in machine learning and reinforcement learning algorithms, customer obsession, great communication skills, and the motivation to achieve results in a fast-paced environment.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 ...

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 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!SB ResponseModel team's role is to support the prediction of Click Through Rates, View Rates, and Conversion Rates for Sponsored Brands. Our goal is to enhance advertising efficiency, improve the shopper experience, and promote SB product recognition. We collaborate with different teams across the Amazon Ads to build scalable online and offline ML infrastructure systems to accelerate science innovations, facilitate business growth and promote technology innovation.As an Applied Scientist on this team, you will:- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- 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.- 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.Impact and Career GrowthYou 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.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 ...

Amazon Freight is seeking a highly skilled and motivated Freight Operations Associate to support the movement of freight shipments for our external customers. This is an exciting opportunity to join a rapidly growing team responsible for ensuring seamless freight movements across North America for our customers.The ideal candidate will have a background in transportation and logistics, with excellent data analysis and problem-solving skills. You will be responsible for communicating directly with external partners such as carriers and suppliers to resolve daily freight movement issues. This role requires the ability to quickly understand business impacts, pull and analyze data from multiple systems, and drive process improvements to eliminate root causes of defects.Key job responsibilities• Maintain constant, tactical communication with external freight partners (carriers, suppliers, and customers) and internal stakeholders (product, business intelligence, sales, and fulfillment centers)• Expertly pull data from various databases using tools like Excel, SQL, and Access to perform ad-hoc reporting and analysis• Publish performance metrics to help drive business results and identify areas for improvement• Systematically escalate issues or data variances to the appropriate teams and follow through on resolutions• Meet tight deadlines to address critical business needs while tracking and measuring your own activities• Demonstrate strong verbal and written communication skills to present findings and recommendationsBASIC QUALIFICATIONS- 1+ years of working with computers and Microsoft Office (including Outlook, Word, and Excel) experience- High school or equivalent diploma- Work 40 hours/week, and overtime as required- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays- Are 18 years of age or older ...

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.The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. As a Machine Learning or Computer Vision Research Scientist, you will help solve a variety of technical challenges and mentor other engineers. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.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- 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 ...

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an Area Manager. In this role, you will lead a team of hourly workforce and will be responsible for engaging your team during their shifts to maintain the highest levels of safety, quality, attendance, and performance. You will also play a key role in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location.Our Operation’s workflow has three major components: First mile - where the product is housed and ready for order; Middle mile - where the order is hauled to your area; and Last mile - when the product is delivered to the customer’s door. Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer. Key job responsibilities* Support, mentor, and motivate your hourly workforce* Manage safety, quality, productivity, and customer delivery promises* Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectives* Lift up to 49 pounds and frequently push, pull, squat, bend, and reach* Stand/walk for up to 12 hours during shifts* Work in an environment where the noise level varies and can be loud* Work in an environment that is subject to variable temperatures and weather (delivery stations include outside loading departments)* Continuously climb and descend stairs (applies to sites with stairs)Our fulfillment network launches new Operations sites every year, providing various opportunities for your professional growth. We hire Area Managers based on location preference and the business’ current openings.BASIC QUALIFICATIONS- 2+ years of employee and performance management experience- Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays ...

Have you ever wondered how Amazon predicts when your order will arrive and how we ensure that it actually arrives on at the promised date/time? Have you wondered where all those Amazon semi-trucks on the road are headed? Are you passionate about increasing efficiency and reducing carbon footprint? Does the idea of having worldwide impact on Amazon's logistics network including our planes, trucks, and vans sound exciting to you? If so, then we want to talk with you! At Amazon's Supply Chain Optimization Technologies (SCOT), we are tasked with optimizing the fulfilment on customer orders so that we fulfil all orders worldwide in the most intelligent manner while ensuring Amazon customers get their orders on time.Fulfillment Planning & Execution (FPX) Science team within SCOT- Fulfilment Optimization owns and operates OR/ML and simulation systems that continually optimize the distribution of tens of millions of products across Amazon’s warehouses in the most cost-effective manner, utilizing large scale optimization techniques and distributed computing in trying to reduce overall transportation costs while improving the customer experience. We are focused on saving hundreds of millions of dollars using Optimization, machine learning, and scalable distributed software on the cloud that automates and optimizes inventory and shipments to customers under the uncertainty of demand, pricing and supply.We’re looking for a passionate, results-oriented, and inventive scientist who can create and improve models for our outbound transportation planning systems. In addition, you will be working on design, development and evaluation of highly innovative models for solving complex business problems in the area of outbound transportation planning and execution systems. You will work closely with our product managers and software engineers to disambiguate complex supply chain problems and create optimization solutions to solve those problems at scale. You will directly impact our direct customers, and even play with big data and incredible scale in the background.Watch http://bit.ly/amazon-scot to get the big picture. Key job responsibilities* Design, development and evaluation of highly innovative optimization models for solving complex business problems. * Research and apply the latest optimization techniques and best practices from both academia and industry. * Think about customers and how to improve the customer delivery experience. * Use and analytical techniques to create scalable solutions for business problems. * Work closely with software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. * Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.A day in the lifeThis is a great role for someone who likes to learn new things. You will have the opportunity to learn all about how Amazon plans for and executes within it's logistics network including Fulfillment Centers, Sort Centers, Delivery Stations, and more. In this role, you will be a design and develop Optimization models with significant scope, impact, and high visibility. Your solutions will impact business segments worth many-billions-of-dollars and geographies spanning multiple countries and markets. From day one, you will be working with bar raising scientists, engineers, and designers. You will also collaborate with the broader science community in Amazon to broaden the horizon of your work. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.About the teamFulfillment Planning & Execution Science team contains a group of scientists with different technical backgrounds including Machine Learning and Operations Research, who will collaborate closely with you on your projects. Our team directly supports critical functional areas across Fulfillment Optimization and the research needs of the corresponding product and engineering teams. We tackle some of the most mathematically complex challenges in facility and transportation planning and execution to improve Amazon's operational efficiency worldwide and at a scale that is unique to Amazon. We often seek the opportunity of applying hybrid techniques in the space of Operations Research and Machine Learning to tackle some of our biggest technical challenges. We disambiguate complex supply chain problems and create ML and optimization solutions to solve those problems at scale.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 ...

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 ...

About Amazon HealthAmazon Health’s mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we (Health Storefront and Shared Tech) are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.Job summaryWe are seeking an exceptional Senior Applied Scientist to join a team of experts in the field of machine learning, and work together to break new ground in the world of healthcare to make personalized and empathetic care accessible, convenient, and cost-effective. We leverage and train state-of-the-art large-language-models (LLMs) and develop entirely new experiences to help customers find the right products and services to address their health needs. We work on machine learning problems for intent detection, dialogue systems, and information retrieval. You will work in a highly collaborative environment where you can pursue both near-term productization opportunities to make immediate, meaningful customer impacts while pursuing ambitious, long-term research. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. You will get the opportunity to pursue work that makes people's lives better and pushes the envelop of science.#everydaybetterKey job responsibilities- Translate product and CX requirements into science metrics and rigorous testing methodologies.- Invent and develop scalable methodologies to evaluate LLM outputs against metrics and guardrails.- Design and implement the best-in-class semantic retrieval system by creating high-quality knowledge base and optimizing embedding models and similarity measures.- Conduct tuning, training, and optimization of LLMs to achieve a compelling CX while reducing operational cost to be scalable.A day in the lifeIn a fast-paced innovation environment, you work closely with product, UX, and business teams to understand customer's challenges. You translate product and business requirements into science problems. You dive deep into challenging science problems, enabling entirely new ML and LLM-driven customer experiences. You identify hypothesis and conduct rapid prototyping to learn quickly. You develop and deploy models at scale to pursue productizations. You mentor junior science team members and help influence our org in scientific best practices.About the teamWe are the Health AI team at HST (Health Store and Technology). The team consists of exceptional ML Scientists with diverse background in healthcare, robotics, customer analytics, and communication. We are committed to building and deploying the most advanced scientific capabilities and solutions for the products and services at Amazon Health.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 ...

Are you interested in big data, machine learning, LLM, and product recommendations? If so, Amazon's Personalization team might be the right place for you. About our organization:We are part of Amazon’s Personalization organization, a high-performing group with a huge impact on hundreds of millions of customers, innovating at the intersection of customer experience, machine learning, and large-scale distributed systems. We run global experiments and our work has revolutionized e-commerce with features such as "Compare with similar items", "Keep shopping for ...", “Customers who bought this item also bought”, and, “Frequently bought together” among others.Amazon’s internal surveys regularly recognize us as one of the best organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continuous opportunity to learn and grow.About you:You are an Applied Scientist who loves big data and passionate about improving customer shopping experience by inventing and applying state-of-art technologies (e.g., LLM, Machine Learning, NLP, and Computer Vision) to build the next-generation product recommendation engine for Amazon. You have an entrepreneurial spirit, know how to deliver, are deeply technical and highly innovative. You work closely with software engineers to put algorithms into production. You also work in partnership with teams across Amazon to create enormous benefits for our customers. You will have an opportunity to make an enormous impact on the design, architecture, and implementation of cutting edge products used every day by people you know. Key job responsibilities- Use machine learning and analytical techniques to create scalable solutions for business problems- Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes- Design, development and evaluation of highly innovative models for predictive learning- Work closely with software engineering teams to drive model implementations and new feature creations- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation- Research and implement novel machine learning and statistical approaches- Mentor junior scientists; review their work and provide feedbackAbout the teamOur mission is to delight every Amazon customer with a personalized shopping experience. We achieve our mission through investments in large-scale machine learning and distributed system solutions with the purpose of delivering the future of shopping on Amazon. Our solutions help customers explore product categories, discover high quality products that meet their needs, and provide most relevant information to help customers make confident shopping decisions. We are seeking an Applied Scientist to make step function improvements in creating a delightful shopping experience.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 programming in Java, C++, Python or related language ...