Amazon.com Services LLC

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 Selling Partner Recruitment and Success is seeking a dynamic and motivated Account Representative for our Indigenous Recruitment Pilot. This position is chartered with developing and managing a sales pipeline mix of high value accounts while executing sales and account management strategies to deliver results that will exceed aggressive output goals. Specifically, this individual will be responsible for identifying and building relationships with key influencers and decision-makers within the senior management teams of existing accounts, along with internal stakeholders and cross-functional teams to create and present compelling Amazon solutions that meet and exceed customer requirements. Ideal candidates must possess 5+ years of successful sales experience, preferably in e-commerce, finance, retail technology, logistics, or software industries. Demonstrated success in exceeding sales targets using a consultative, solutions-focused approach is required. Experience selling nascent products/services into new markets is valuable. Candidates must have excellent communication and presentation skills, comprehensive experience using Excel and MS Office applications, an ability to thrive in an ambiguous environment, and passion for continuous improvement through collaboration and teamwork.As an Indigenous Sales Representative you will have the exciting opportunity to help drive the growth and shape the future of an emerging market. Your responsibilities will include driving revenue, adoption, and market penetration and scaling Indigenous owned businesses. Ideal candidates must possess 5+ years of successful enterprise class sales experience, preferably in e-commerce, finance, retail technology, logistics or software industries. Demonstrated success in exceeding sales targets using a consultative, solutions-focused approach is required. The candidate should also be a self-starter who is prepared to develop and execute against annual and quarterly revenue targets.Key job responsibilities- Identify, qualify, acquire and grow minority-owned businesses selling on Amazon.- Implement and track metrics for recording the success and quality of the Sellers in your vertical/territory. Use these metrics to guide your work and uncover hidden areas of opportunity.- Understand and utilize Salesforce.com CRM tools to track all pertinent account information and sales progress as well as forecast and prioritize to achieve quarterly quota goals.- 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.- Manage numerous opportunities concurrently and strategically.- Create and articulate compelling value propositions around the Selling on Amazon product.- Engage with merchants to understand their needs and gauge fit with the Amazon Services product set.- 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.- Drive revenue and market share in a defined territory or industry vertical. - Meet or exceed quarterly revenue targets. - Create & articulate compelling value propositions around third party sales - Accelerate customer adoptionA 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 Indigenous owned businesses 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.BASIC QUALIFICATIONS- 7+ years of B2B or enterprise sales with a focus on hunting new business experience- Experience positioning and selling innovative solutions to new and existing customers and market segments- Experience identifying, developing, negotiating, and closing opportunities across a wide spectrum of customer engagement levels- Experience proactively growing customer relationships within an account while expanding their understanding of the customer's business- Experience with sales CRM tools such as Salesforce or similar software- Experience with Microsoft Office products and applications- Bachelor's degree or equivalent- Demonstrated success and track record of exceeding sales targets using a consultative, solutions-focused approach- Excellent communication, both written and verbal, along with presentation skills, both externally to prospective clients and internally to upper management- Ability to work with all levels of a Seller's organization- Ability to prioritize work in a complex, fast-paced environment- Demonstrated ability to work independently- Ability to effectively communicate progress and objectives to upper management- Strong problem-solving passion and service orientation- An ability to thrive in an ambiguous environment and a passion for continuous improvement through collaboration and teamwork- Highly analytical with passion for data ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.This role is a 6 month co-op from July - December 2025. The Supply Chain team is seeking Spring 2025 Co-Op's with interest in supply chain purchasing, logistics, planning, procurement, and process improvement/data analyst. The successful candidate for this position will have a high sense of urgency, the ability to work cross functionally, and the desire to improve the outcome for our customers.Key job responsibilities• Developing an understanding of our Supply Chain and Systems and Tools processes and identify targets for improvement in transactional and operations efficiencies• Supporting the execution of supply chain cost/lead time, safety stock, procurement, planning, warehousing/logistics, and/or new product introduction programs, including the exploration of opportunities across multiple Amazon business units• Leading projects to automate our cross-functional processes between Supply Chain, Finance, Operations, Deployment, and Engineering• Developing processes and mechanisms related to expanding capacity and programs in our Robotics Operations Center of Excellence• Developing efficient and accurate metrics and mechanisms for measuring and reporting supply chain performance. Support the introduction of new software/tools/dashboards• Actively support and foster a culture of inclusionA day in the lifeThe Supply Chain Co-Op works within the Supply Chain organization to support the development of business processes for the Supply Chain Planning, Strategic Sourcing, Logistics, and Systems and Tools teams. The Co-Op should have a good understanding of supply chain, operations, finance, and general business practices.About the teamThe Amazon Robotics Operations and Supply Chain organization sources and manufactures a portfolio of robotics technology and is responsible for getting the right materials to the right place at the right time to support our network of global fulfillment and transportation solutions. It’s an operation that works cross-functionally with teams across Amazon globally, and is driven by data and metrics. BASIC QUALIFICATIONS* Currently pursuing a Bachelor’s or Master’s in field of Operations, Supply Chain Management, Engineering Management, Industrial Engineering, or related field* Currently enrolled in college/university and must have at least one semester/term/quarter of school left to complete after the end of the co-op* May 2026 graduation date or later* Must be eligible and available for a full-time (40h / week) co-op from July - December 2025 ...

Amazon is a pioneering, dynamic, and energetic company that thrives on unique and peculiar ways. We take pride in our single-minded obsession over customer satisfaction and our ability to maintain a curious and vibrant culture no matter how large the company grows. We endeavor to build our legacy as Earth’s most customer-centric company and to continue to cultivate and nourish our innovative environment through our mission to hire the best. If you are a financial accounting professional who consistently exceeds expectations, who dares to make bold decisions, and whose ears perk up at the prospect of a challenge, then Amazon is a place where your career can flourish.When working at Amazon, your ability to make a difference and take ownership of your career begins on day one. You can expect a collaborative, team-driven environment that encourages employees to learn, be curious, and have a bias for action. Part of this propensity for continuous learning shows itself in Amazon’s strong encouragement of movement and growth within the Accounting department and within the company as a whole. We aim to hire and develop those who will raise the bar over the course of their career at Amazon (and not just in their first position). Amazon’s accounting group offers opportunities at the Accounting Manager level in Legal Entity & Intercompany, Accounting Policy & Reporting, Operations and Capital, Transportation, Payments & Merchant Services, Retail Operations, Digital, and AWS Accounting.Key job responsibilities• Supporting various aspects of our accounting and reporting process.• End-to-end process ownership to support finance and business partners.• Understand internal control design concepts sufficient to assess the effectiveness of controls in their area and to design new processes and controls for emerging and growing business activities.• Execute judgments to keep projects moving and ensure the right decisions are reached to close the books each month.• Escalating risks and issues as necessary to leadership.• Strong sense of ownership.• Ability to identify process improvement and automation opportunities to drive positive change across the organization.• Lead delivery of accounting tasks and projects.• Enhance partnerships between Accounting and various business and IT groups.Research, conclude and memorialize technical accounting position papers.BASIC QUALIFICATIONS- Bachelor's degree in accounting or related field- 5+ years of finance or a related analytical field experience ...

If you are excited about applying your science and engineering skills in business problems in the space of risk measurement, quantification, and mitigation, we invite you to consider this Applied Scientist opportunity within Amazon B2B Payment and Lending (ABPL).ABPL is seeking an Applied Scientist who combines their scientific and technical expertise with business intuition to build flexible, performant, and global solutions for complex financial and risk problems. You will develop and deploy production models to enhance our product features & processes that will delight our customers.Key job responsibilities- Apply advanced machine learning, deep learning and other analytical/scientific techniques to enable and improve Credit Management decisions- Source and assess various structured and unstructured data and leverage automated modeling framework to streamline data evaluation and integration- Spearhead leader to research and adopt State-of-the-Art AI/ML techniques and define the roadmap to revolutionize underwriting models leveraging adaptive modelling methods, Large Language Models(LLM), etc.- Bar-raising the design and implementation of production model pipelines(real time and batch) , lead design and code reviews to insist on high bar of engineering excellence and ensure high performance of the models- Collaborate effectively with Credit Strategy, Operations, Product, data and engineering teams. You will be advising and educating the leadership and stakeholders of the models and strategic decision making.- Understand business and product strategies, goals and objectives. Make recommendations for new techniques/strategies to improve customer outcomes.A day in the lifeAs an Applied Scientist, you will design and build systems that support financial products. You will work closely with business partners, software and data engineers to build and deploy scalable solutions that deliver exceptional value for our customers. You will utilize intellectual and technical capabilities, problem solving and analytical skills, and excellent communication to deliver customer value. You will partner with product and operations management to launch new, or improve existing, financial products within Amazon.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building machine learning models or developing algorithms for business application experience- Experience in solving business problems through machine learning, data mining and statistical algorithms- Experience programming in Java, C++, Python or related language- Experience in patents or publications at top-tier peer-reviewed conferences or journals ...

This is a unique opportunity for a postdoc to work on research projects that investigate state of the art NLP, IR, and LLM approaches for understanding retail products and their pricing. This will include working with billion-scale datasets and investigating how the world knowledge captured by LLMs reflects real world prices, and investigating more advanced prompting and reasoning techniques to construct large knowledge graphs that are specialized for various pricing use cases such as probabilistic price estimation, as well as error detection and correction.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 teamThe retail pricing science team is a centralized diverse team of STEM scientists that develop statistical, ML, RL, optimization and economic models that drive pricing for products sold by Amazon worldwide, as well as monitoring of prices and experimentations in pricing. The team has a dual focus on competitiveness and long term financial optimality.BASIC QUALIFICATIONSBasic qualifications include: - PhD in a relevant field, received within 2 years of starting the program- Proven publication record in Operation Research, Management Science, Statistics, Machine Learning, Computer Science, Econ, or other related technical fields- Experience in data science and quantitative research- Proficiency in technologies relevant to the subfield ...

Join us in the evolution of Amazon’s Seller business! The Seller Growth Science 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 growth strategy and drive 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 growth 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 ...

The Private Brands team is looking for an Applied Scientist to join the team in building science solutions at scale. Our team applies Optimization, Machine Learning, Statistics, Causal Inference, and Econometrics/Economics to derive actionable insights. We are an interdisciplinary team of Scientists, Engineers, and Economists and primary focus on building optimization and machine learning solutions in supply chain domain with specific focus on Amazon private brand products.Key job responsibilitiesYou will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable optimization solutions and ML models.This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and economists. As a scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.We are particularly interested in candidates with experience in predictive and machine learning models and working with distributed systems. Academic and/or practical background in Machine Learning are particularly relevant for this position. Familiarity and experience in applying Operations Research techniques to supply chain problems is a plus.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building models for business application experience- Experience in building machine learning models for business application- Experience programming in Java, C++, Python or related language- Experience implementing algorithms using both toolkits and self-developed code- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon’s Last Mile Team is looking for a passionate individual with strong optimization and analytical skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world. Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)’s success and the sustainable growth of Amazon. Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. Key job responsibilitiesCandidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. 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. As an applied scientist, you will also help coach/mentor junior scientists in the team.BASIC QUALIFICATIONS- 1+ years of programming in Java, C++, Python or related language experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience building machine learning models or developing algorithms for business application- 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 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-related technologies, data analytics, and automation ...

Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com. WWR&R is an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing groundbreaking products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future – we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon – Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth’s most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! Key job responsibilities* Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models.* Use SQL to query and analyze the data.* Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. * Use machine learning and analytical techniques to create scalable solutions for business problems.* Research and implement novel machine learning and statistical approaches.* Mentor interns.* Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.A day in the lifeIf 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! Benefits:Amazon 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 Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://amazon.jobs/en/internal/benefits/us-benefits-and-stock About the teamWhen a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple modalities spanning from: textual, categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models.BASIC 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 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- Experience with popular deep learning frameworks such as MxNet and Tensor Flow ...

Amazon is looking for talented Postdoctoral Scientists to join the Decision Science & Technology team within Amazon RME for a one-year, full-time research position.The host team is developing novel approaches to Anomaly Detection within our Fulfillment Centers. These algorithms are used to detect issues with our equipment before they progress into breakdowns or impact business operations. A variety of data are collected on the equipment, which must be monitored using powerful and scalable solutions.The postdoc is expected to develop novel algorithms based on Machine Learning that captures and diagnoses these anomalies. Experience with transfer learning and deep learning would be valuable to produce adaptable and scalable solutions.Key job responsibilities• 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.• Be comfortable with a fast-paced work with a lot of unknowns and hands-on engagement.BASIC QUALIFICATIONS• PhD in a relevant field, received within 2 years of starting the program• Proven publication record in Statistics or Machine Learning* Experience with at least one of Anomaly Detection, Transfer Learning, or Deep Learning ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. 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!We are looking for an accomplished and visionary machine learning expert to lead the Applied Science strategy for our Media Planning Science program. In this role, you will work closely with business leaders, stakeholders, and cross-functional teams to drive program success through ML-driven solutions. You will shape the applied science roadmap, promote a culture of data-driven decision-making, and deliver significant business impact using advanced data techniques and cutting-edge applied science methodologies.Key job responsibilitiesAs an Applied Scientist on this team, you will:- Serve as the technical leader in Machine Learning, guiding efforts within the team and collaborating with other teams.- Conduct hands-on analysis and modeling of large-scale data to generate insights that boost traffic monetization and merchandise sales while maintaining a positive shopper experience.- Lead end-to-end Machine Learning projects that involve high levels of ambiguity, scale, and complexity.- Build, experiment, optimize, and deploy machine learning models, collaborating with software engineers to bring your models into production.- Run A/B experiments, gather data, and perform statistical analysis to validate your models.- Develop scalable and automated processes for large-scale data analysis, model development, validation, and serving.- Explore and research innovative machine learning approaches to push the boundaries of what’s possible.About the teamThe Media Planning Science team builds and deploys models that provide insights and recommendations for media planning. Our mission is to assist advertisers in activating plans that align with their goals. Our insights and recommendations leverage heuristic and machine learning models to simplify the complex tasks of forecasting, outcome prediction, budget planning, optimized audience selection and measurements for media planners. We integrate our insights into user interfaces and programmatic integrations via APIs, ensuring reliable data, timely delivery, and optimal advertising outcomes for our advertisers. 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 ...

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud?Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems?Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a talented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day.Key job responsibilitiesUse machine learning and statistical techniques to create scalable risk management systemsLearning and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trendsDesign, development and evaluation of highly innovative models for risk managementWorking closely with software engineering teams to drive real-time model implementations and new feature creationsWorking closely with operations staff to optimize risk management operations,Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationTracking general business activity and providing clear, compelling management reporting on a regular basisResearch and implement novel machine learning and statistical approachesBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building models for business application 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 ...

Do you want to use your expertise in translating innovative science into impactful products to improve the lives and work of over a million people worldwide? If you do, People eXperience Technology Central Science (PXTCS) would love to talk to you about how to make that a reality. PXTCS is an interdisciplinary team that uses economics, behavioral science, statistics, and machine learning to identify products, mechanisms, and process improvements that both improve Amazonian’s wellbeing and their ability to deliver value for Amazon’s customers. We work with HR teams across Amazon to make Amazon PXT the most scientific human resources organization in the world.As an applied scientist on our team, you will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, define the science vision and translate it into specific plans for applied scientists, as well as engineering and product teams. You will partner with scientists, economists, and engineers on the design, development, testing, and deployment of scalable ML and econometric models. This is a unique, high visibility opportunity for someone who wants to have impact, dive deep into large-scale solutions, enable measurable actions on the employee experience, and work closely with scientists and economists. This role combines science leadership, organizational ability, and technical strength. Key job responsibilitiesAs an Applied Scientist, ML Applications, you will:• Design, develop, and evaluate innovative machine learning solutions to solve diverse challenges and opportunities for Amazon customers• Advance the team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.• Partner with the engineering team to deploy your models in production.• Partner with scientists from across PXTCS to solve complex problems and use your team’s expertise to accelerate their ability get their work into production.• Work directly with Amazonians from across the company to understand their business problems and help define and implement scalable ML solutions to solve them.BASIC QUALIFICATIONS- Master's Degree in machine learning, recommender systems, statistics, computer science, operations research, or other highly relevant field- Three or more years’ experience applying ML to solve complex problems for large-scale applications- One or more years of experience specifically with deep learning (e.g., CNN, RNN, LSTM)- Experience in using Python or other programming languages ...

Are you looking to apply your mobile development skills to problems on a global scale while impacting millions of users on a daily basis? Are you interested in developing science-driven technology that will help Amazon deliver packages worldwide efficiently and quickly?Amazon Flex is the system that collaborates with crowd-sourced and third-party delivery partners to complete deliveries for many of Amazon's programs. Our mobile application works in concert with our advanced logistics systems and predictive analytics. These technologies allow delivery partners to on-board, schedule delivery times in advance or on demand, and be guided through their deliveries with in-app mapping, navigation, and much more. Our ability to engage with, support and provide a world-class experience to both customers and our delivery partners has become more critical as we continue to expand the number of active delivery partners and target faster deliveries to our customers.Key job responsibilitiesAs an engineer on our team, you will own software in all phases of the software life-cycle from architecture and design through deployment and release. You will help create scale-able, global applications. You will also build applications to manage automated scheduling and engagement to meet capacity needs. You will learn about Amazon’s logistics network, interact with other teams to build optimized systems, and have autonomy to deliver software which impacts multiple delivery provider programs.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language- Experience building complex software systems that have been successfully delivered to customers- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at the Global Reliability Maintenance Engineering (RME) Central Team. We are a smart team of doers who work passionately to apply cutting edge advances in mechatronics and robotics, to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet.The Amazon Technologies Portfolio (ATP) Team supports a suite of advanced robotics and mechatronics technologies deployed globally to fulfill and ship customer orders. The team is responsible for the lifecycle management of these products, distributed across five major categories: Robotic Work Cells, Pack Automation, Sortation Automation, Amazon Fulfillment Technologies, and Specialty Automation Technologies. In this role, you will work with a wide number of stakeholder teams, to maximize the performance, availability and quality of the technologies in the team’s portfolio. To accomplish so you will drive strategic partnerships with key stakeholders including Operations, field RME, Mechatronics and Sustainable Packaging (MSP), Process Engineering, Supply Chain, World-Wide Design and other RME Central Teams. Your will deliver robust lifecycle management approaches, that are scalable, reduce manual work and overall reduce the cost of ownership of these products. You will deliver this through the use of statistics and data analytics, structured problem solving (5-why’s, 8D, FMEA), implementation of global support mechanisms, system performance monitoring tools, identification and dissemination of best practices. In this role, you will develop and implement standard operating procedures, performance metrics, and feedback mechanisms to enable the maintenance programs for these assets to effectively scaleKey job responsibilitiesPartner with product development and support teams, and site level RME teams, to maximize the performance of advanced robotics and mechatronics systems.Develop and implement standard operating procedures, performance metrics, and feedback mechanisms for your team’s technologies. Develop metrics and proactive monitoring tools to measure the reliability and performance of advanced robotics systems as well as measure success of support mechanisms.Build an effective working relationship with key stakeholders and engineering leaders supporting Amazon OperationsIdentify, analyze and resolve reliability, availability and maintainability issues across the product suite.Partner with leaders and engineers in the MSP organization to deliver new and innovative products to the customer fulfillment network.Travel up to 25% of the time, to capture voice-of-the-customer and anecdotes first hand, and generate buy-in for initiatives.Write effective narratives and present them to Sr. Managers and Directors. This role requires experience developing and executing/delivering product and technical roadmaps in the field of automation and robotics. You should have experience working directly with automation and robotics engineering teams.BASIC QUALIFICATIONS• BS in Engineering (Mechanical, Electrical, Industrial, or related field) • Knowledge and/or working experience with statistical analysis tools, data visualization, and program management• 5+ years’ experience working with engineering teams. • Experience leading disciplined technical problem-solving. Demonstrated experience with 8D, 5-Why, Fishbone, and FMEA, among others.• Experience with written and oral communications skills for technical and non-technical audiences, with the ability to discuss complex technical issues with both technical and non-technical teams• Ability to manage multiple high-priority tasks simultaneously through delegation. ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.This role is a 6 month co op to join AR full time (40 hours/week) from January thru June 2025. Amazon Robotics Co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.The Manufacturing Engineer Co-op will be responsible for delivering and supporting operations and production projects by partnering with Amazon Robotics Tech Ops Engineering process owners and other cross-functional team members. This Co-op will be responsible for: - Creating mechanisms, processes, and/or documentation to improve material approval process or production floor operations - Gather, analyze and document functional/technical requirements for new projects, enhancements to existing solutions and production issues reported by end users - Drive resolutions within supply chain network and address manufacturability, production or design issues - Propose design changes that will enhance product manufacturability and testability - Qualify supplier production processes based on dimensional data, control plans, PFMEAs - Design and implement into production manufacturing tools and fixturesA day in the lifeIf 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!BASIC QUALIFICATIONS- Are enrolled in a co-op program at your university- Are 18 years of age or older ...

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 ...

Enabling Amazon’s explosive growth requires top talent in our Finance Technology (FinTech) organization. FinTech is seeking an Oracle Applications Developer to be a part of Amazon's FinTech Payments team.Our team operates Oracle ERP and custom software platforms that are among the largest in the world by volume and complexity, and a successful candidate will be able to dive deep and execute technical and functional assignments with their team. As a developer, you will drive architectural and design choices, invent new features, optimize programs and build a scalable, performance-driven solutions in Oracle EBS R12 and outside ERP applications. We have a team culture that encourages innovation and we expect developers to take a high level of ownership, technical architecture and project delivery. Position Responsibilities: Design, build and extend applications. Design and develop solutions and support multiple applications within the Oracle e-business suite and open source technologies as required. Develop technical specifications. Configure standard applications. Modify standard forms and reports. Develop new forms and reports. Develop interfaces in and out of the e-business suite. End user support for multiple applications in multiple geographies. Oversee and lead the efforts of Junior Developers. Support high critical production issues as part of team on call. This may include support during outside of normal business hours.BASIC QUALIFICATIONS - Master’s degree or foreign equivalent in Computer Science, Engineering, Math, or a related field and two years of experience in the job offered or as a Systems Analyst, Software Engineer or Developer, or a related occupation. - Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Math or a related field and five years of experience in the job offered or related occupation as equivalent to the Master’s degree and two years of experience. - One year of experience must involve: developing solutions for Oracle’s e-business suite; experience with Oracle’s development tools including SQL and PLSQL, reports, forms, BI publisher, Workflow Build and JDeveloper; - Experience with at least one of the following e-business suite applications: accounts Receivable, Accounts Payable, Procurement, iProcurement, iExpense, General Ledger, Inventory, or Fixed Assets; and experience engaging Oracle Support to research and resolve issues. ...