Amazon.com Services LLC

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 these questions 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 in ways we can't even image yet. We invent new improvements every day. This role is a 6 month co-op to join AR full time (40 hours/week) from January to June 2025. Amazon Robotics co-op opportunities will be based in the Greater Boston Area, in our two state-of-the-art facilities in Westborough and North Reading, MA. Both campuses provide a unique opportunity for interns to have direct access to robotics testing labs and manufacturing facilities. In this role you will work closely with simulation engineers building virtual robotic worlds. You will bring these worlds to life while applying technologies such as Unity and Blender. You will be responsible for creating levels and art assets (2D and 3D) for a real-time graphics application. If this sounds exciting to you, please read on and apply! Current projects underway in hardware and software include autonomous movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more.Responsibilities of the Technical Artist co-op may include:- Liaising between heads of programming and design teams- Researching and developing technical tools for a project- Setting up workflows of art production- Supporting artists and engineers in the 3D art pipeline- Assisting in asset performance and validation- Solving complex technical issues during development- Deciding on what software and tools are required for Digital Twin production- Developing and maintaining resources and pipelines along with programmers- Maintaining technical documentationBASIC QUALIFICATIONS- Enrolled in a degree program in Computer Science, Visual Effects, Graphic Art, Animation, or related field with at least one semester of school left after completion of co-op.- Must be eligible and available for a full-time (40h / week) 6-month co-op between January to June 2025- Substance Designer or substance painter- Experience with Maya, Houdini or Blender- Experience with Real-Time Photoreal shaders in any Game Engine- Good Understanding of PBR and MDL (Material Definition Language) ...

The CATALST NLP Services team within the Selling Partner Services (SPS) Core Services organization is responsible for simplifying multi-lingual experiences for our customers. We build and leverage various AI services to eliminate language barriers at scale through Machine Translation for Amazon Customers and Sellers WW across 30+ programs within SPS and customers outside of SPS. We leverage state-of-the-art NLP solutions including Large Language Models, Machine Translation, Language Detection, and OCR to provide a full suite of content analysis capabilities. Our customers include Selling Partners, Buyers, Amazon Associates, Amazon Investigators, and various Science teams.In this role, you will be a key owner within our cross-disciplinary team that includes Product Managers, Software Engineers, and Applied Scientists and execute on our 3 Year Plan. You will pioneer new technologies in NLP, machine translation, and machine learning. You will have ownership of the end-to-end development of solutions to complex problems from design to implementation and you will play an integral role in strategic decision-making. You will also work closely with other stakeholders such as engineers, operations teams and product owners to build ML pipelines, platforms and solutions that solve business problems.Key job responsibilities* Participate in the design, development, evaluation, deployment and updating of automated and scalable machine learning models, with a focus on machine translation* Develop and/or apply statistics, NLP and machine learning experiments and methodologies to different applications* Work closely with Scientists and Software Engineers on experimentations, evaluation and implementation* Work closely with business partners to understand the goals and develop solutions to achieve such goalsBASIC 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 building machine learning models or developing algorithms for business application ...

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.BASIC QUALIFICATIONS- Bachelor's degree or equivalent, or 3+ years of sales or marketing work (like e-commerce, retail technology, SaaS) or equivalent experience ...

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 ...

Unlock the Future with Amazon Science!Calling all visionary minds passionate about the transformative power of machine learning! Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality. Join our team of visionary scientists and embark on a journey to revolutionize the field by harnessing the power of cutting-edge techniques in bayesian optimization, time series, multi-armed bandits and more. At Amazon, we don't just talk about innovation – we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models.Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Reinforcement Learning and Optimization within Machine Learning. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on developing novel RL algorithms and applying them to complex, real-world challenges.The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.A day in the life- Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.- Design, development and evaluation of highly innovative ML models for solving complex business problems.- Research and apply the latest ML 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. BASIC QUALIFICATIONS- Are enrolled in a PhD- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience programming in Java, C++, Python or related language- Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling ...

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 ...

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 & internship 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 3 month internship from May - August 2025. The Supply Chain team is seeking Summer 2025 Interns 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 Intern 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 Intern 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 internship* Dec 2025 graduation date or later* Must be eligible and available for a full-time (40h / week) internship from May - August 2025 ...

Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities. The Ad Response Prediction team in Sponsored Products organization build advanced deep-learning models, large-scale machine-learning pipelines, and real-time serving infra to match shoppers’ intent to relevant ads on all devices, for all contexts and in all marketplaces. Through precise estimation of shoppers’ interaction with ads and their long-term value, we aim to drive optimal ads allocation and pricing, and help to deliver a relevant, engaging and delightful ads experience to Amazon shoppers. As the business and the complexity of various new initiatives we take continues to grow, we are looking for talented Applied Scientists to join the team. Key job responsibilitiesAs a Applied Scientist II, you will:* Conduct hands-on data analysis, build large-scale machine-learning models and pipelines * Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production* Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving * Provide technical leadership, research new machine learning approaches to drive continued scientific innovation* Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and ConferencesBASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon's Search Science and AI team creates ML algorithms that connect customers around the world with products that delight them. We harness cutting-edge ML at Amazon's scale to make the customer experience easier and smoother. Our impact is large. For example, if your innovations save even 1 minute per customer per year, then for every 100 million customers, you save approximately 190 years of human effort.Key job responsibilitiesYou will build search ranking systems that work for thousands of product types, billions of queries, and hundreds of millions of customers spread around the world. As an Applied Scientist you will find the next set of big improvements to ranking, leverage large datasets to understand the complexities of customer behavior, and get your hands dirty by building ML models that work at Amazon scale. In addition to typical topics in ranking, we are particularly interested in exploration techniques and reinforcement learning.A day in the lifeOur primary focus is improving search ranking systems. On a day-to-day this means building ML models, analyzing data from your recent A/B tests, and guiding teams on best practices. You will also find yourself in meetings with business and tech leaders at Amazon communicating your next big initiative.About the teamWe are a team consisting of ML scientists and software engineers. Our interests and activities span machine learning for better ranking, statistics for better decision making, and infrastructure to make it all happen at scale and efficiently.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 passionate about driving growth and solving real-world logistics challenges? Join our team as an Account Manager II for Amazon Global Logistics, where you'll play a crucial role in expanding our Multi-Channel Distribution (MCD) product. You'll leverage your sales acumen and data-driven approach to identify new opportunities, streamline inefficiencies, and provide exceptional logistics support for our sellers.Key job responsibilities- Recruit and manage a diverse portfolio of Fulfilled by Amazon (FBA) sellers for MCD- Consult with sellers to understand their supply chain needs through solutions-based selling- Develop and execute pipeline management plans to meet or exceed sales targets- Gather and synthesize customer feedback to drive product improvements and innovation- Collaborate with cross-functional teams to align product strategy with business objectivesA day in the lifeAs an Account Manager II, you'll start your day by reviewing your seller portfolio and identifying key opportunities for growth. You'll engage in consultative conversations with sellers, understanding their unique challenges and proposing tailored MCD solutions. Throughout the day, you'll analyze data to inform your strategy, collaborate with the product team on improvements, and prepare for sales review meetings. Your role will be dynamic, requiring you to balance relationship management, strategic thinking, and operational execution.About the teamOur U.S. Account Management Team within Global Logistics is dedicated to scaling our global supply chain program for FBA sellers. Formed in 2020, we work closely with sellers to provide onboarding support, operational insights, and guidance on new and existing logistics products and services. Our mission is to help organizations lower total storage and distribution costs while staying in-stock across channels to increase sales. We're committed to delivering a logistics experience that sellers love and driving continuous innovation in the field.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 3+ years of experience in sales, account management, or customer-facing roles- 3+ years of program or project management experience.- Proven track record of meeting or exceeding sales targets- Experience with CRM systems and data analysis tools- Strong proficiency in Microsoft Office Suite, particularly Excel ...

Do you have a passion for data? Are you matriculating in a Master’s or PhD program? Amazon is looking for driven data science students with strong modeling skills who are comfortable owning and executing data. To be successful in this internship, you will need the ability to develop, automate, and run analytical models for our systems. During this internship, you will build tools and support structures needed to analyze and dive deep into data to resolve systems errors and changes. You will have the ability to present your findings to our business partners and help drive improvements.Previous applicants demonstrated the aptitude to manage medium-scale modeling projects, identified requirements, and built methodology/tools that were statistically grounded.For more information on the Amazon Science community please visit https://www.amazon.scienceBASIC QUALIFICATIONS- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)- Experience in data science, machine learning or data mining- Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data- Must be actively enrolled in a Master's or PhD program ...

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 Responsibilities and Job Elements: - 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 ...

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 ...

Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day. We optimize product placements using a combination of machine learning and natural language processing (NLP) algorithms operating in low latency, high-volume systems. We are highly motivated, collaborative and fun-loving, with entrepreneurial drive and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.As an Applied Scientist III, you will take ownership of the technical roadmap and delivery of real-time, scalable machine learning models influencing ad selection, relevance and ranking models. You will work with other Applied Scientists and Machine Learning Engineers to experiment and innovate quickly with a diverse set of models, features and techniques in a high-volume, low-latency environment. Our workflows scan billions of documents, with milliseconds of latency budget while ensuring high relevance of retrieved items. So the level of quality and reliability is critically important.As a Applied Scientist III on this team, you will: - Build machine learning models that can scale to our run-time requirements. - 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. - Help recruit and mentor other Applied Scientists on the team.About the teamThe Sponsored Product search entitiy sourcing delivery team helps deliver billions of ad impressions and millions daily clicks daily. Our core charter revolves around building state-of-art machine-learning (ML) and natural-language-processing (NLP) methodologies to improve the search indexing & ranking mechanisms, which will directly improve the customer experience. We’re a talented team of scientists and engineers working on complex and ambiguous problems, and we have an engineering-driven culture that influences business outcomes.BASIC QUALIFICATIONS- 6+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs an Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of audio technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in AGI in speech/audio/music domains.About the teamOur team has a mission to push the envelope of AGI in speech/audio/music domains, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Experience with LLM model training and tuning ...

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 ...

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 January - June 2025.*Note*: By applying to this position, your application will be considered for the role of Tech Product Manager II Co-op in various teams at Amazon Robotics, such as: Systems and Products, Operations, Hardware Engineering, Software Engineering, and others. Each team might require more specialized technical skillsets in their respective areas; please read below for more details in the qualifications sections. If you have a strong interest and experience for one particular team, please add a note to your resume.The Technical Product Management team partners closely with software and hardware engineering teams and is responsible for defining product requirements for the development of the latest technologies for Amazon Robotic Fulfillment Centers. The team is also responsible for creating strategic product roadmaps, serving as Voice of the Customer, and evaluating and prioritizing new feature requests.The Technical Product Manager II Co-op will be an active member of this team by owning a critical product component, process path, or internal process improvement. This role requires excellent communication, project management, and technical skills to process information from multiple stakeholders, understand technical product features, and communicate effectively across the organization.A successful candidate will be comfortable navigating the early phases of a products’ development, and can bring structure to ambiguity. The PMT Co-op will have a strong bias for action, able to weigh multiple options and make documented, data-driven tradeoffs. Lastly, a successful candidate knows how to communicate across multiple audiences, including target customers, business partners, solution designers, and SW and HW engineers.Co-op will be responsible for:* Requirements generation* Market sizing and competitive analysis* Customer and partner communication* Voice of Customer collection* Technical leadershipKey job responsibilitiesBASIC QUALIFICATIONS* Currently working towards MBA* Bachelor’s degree in Computer Science or Engineering, or similar discipline* Must be eligible and available for a full-time (40h / week) co-op from January - June 2025* Must have at least one semester/term/quarter of school left to complete after the end of the Co-op* Dec 2025 graduation date or later ...

Are you looking to join an Amazon team focused on continued rocket ship growth, while re-inventing the way ecommerce businesses manage their fulfilment path from end-to-end!?Veeqo (veeqo.com) — a startup which was acquired by Amazon in 2021 — is Amazon’s recommended shipping solution for Sellers. Within only one-year post-acquisition, Veeqo carried an S-Team goal and publicly launched at Accelerate 2022 and now has the green light for sales expansion, welcoming bar raising talent.Our vision is to become the back-office hub for eCommerce Sellers, for both their on-Amazon and off-Amazon business. We help sellers manage fulfillment operations across all their online stores, and ship orders to customers at the lowest cost and in the fastest possible time.This is an Outbound Sales role, selling Veeqo's Inventory and Shipping solution through highlighting our customer centric feature adoptions to predominantly Amazon MFN (Merchant fulfilled network) Sellers. We are looking for an Account Executive or Business Development Manager with Outbound sales experience, who can meet and exceed high activity targets and enjoys the fast pace of sales. The Account Executive will need to excel in the following Leadership Principles; Deliver Results, Customer Obsession, Insist on Highest Standards, Learn and Be Curios and Bias for Action.Key job responsibilitiesThe Account Executive primary responsibility is to proactively reach out to current Amazon MFN Sellers and potential Veeqo customers, generating new business opportunities for Veeqo. This role will be engaging with prospects over the phone, email, or other communication channels to introduce our products or services, build relationships, and drive program adoption.Key Responsibilities:Prospecting and Engagement:• Hunt for appropriate contacts at all levels (Management to C-Suite)• Initiate outbound calls to Sellers and engage in meaningful conversations• Introduce products, highlight benefits, and address questions or concerns• Encourage account sign-up and channel connection• Build rapport through effective communication and active listening• Understand Seller needs, challenges, and goals to position Veeqo as a valuable solutionProduct Knowledge:• Develop deep technical understanding of Veeqo products, including benefits and competitive advantages• Articulate product information clearly and persuasively to prospective clients and Amazon SellersSales Process:• Deliver compelling sales demonstrations via video communication• Address objections professionally and persuasively• Guide sellers through the decision-making process to active seller status• Track and report sales activities, outcomes, and pipeline progress using Salesforce• Provide regular updates on sales performance, Voice of the Seller, and key learnings to the sales managerCustomer Relationship Management:• Maintain relationships with existing customers• Ensure customer satisfaction and identify up-selling opportunities through Power Feature adoption• Nurture long-term relationships to drive lifetime value and referralsContinuous Learning:• Stay current with industry trends, product knowledge, and sales techniques• Participate in training programs and sales meetings• Engage in self-development activities to enhance sales skills and effectivenessRequired Skills:• Strong written and verbal communication• Excellent interpersonal skills• Persuasion and negotiation expertise• Self-motivation and target-driven mindset• Ability to work independently and as part of a team• Proficiency with CRM software and sales tools• Resilience in handling and overcoming objections • Results-oriented approach• Adaptability and willingness to learn in fast paced sales environmentA day in the lifeOwn and manage an outbound pipeline book of business driving Veeqo program adoption towards outbound sales quotas. Engage current Amazon Sellers and potential Veeqo clients proactively via phone, email and online product demonstrations. Update CRM with client contacts, call notes, next steps, etc. while support current eCommerce Seller book of business. About the teamWith teams across Bellevue WA, Austin TX, Toronto CAN, and UK our Veeqo Sales Teams engage eCommerce clients within US and UK, sharing product knowledge and best practices to meet our common objective of Veeqo adoption. We work closely with cross-functional supporting teams such as Product and Marketing to support our current growth. BASIC QUALIFICATIONS- Bachelor's degree or equivalent, or 3+ years of sales or marketing work (like e-commerce, retail technology, SaaS) or equivalent experience ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As an Applied Scientist on this team, you will: - Be a strong contributor to Machine Learning; lending effort within this team and across other teams.- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.- Run A/B experiments, gather data, and perform statistical analysis.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Research new and innovative machine learning approaches.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE 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 ...

Amazon’s AGI Information is seeking an exceptional Applied Scientist to develop science advancements in the Amazon Knowledge Graph team (AKG). AKG is re-inventing knowledge graphs for the LLM-era, optimizing for LLM grounding and other LLM-based customer experiences. At the same time, AKG is innovating to utilize LLMs in the knowledge graph construction pipelines to overcome obstacles that traditional technologies could not overcome.As a member of the AKG Science team, you will have the opportunity to work on interesting cutting edge problems with immediate customer impact. The team is addressing challenges in automating gap detection, data ingestion, fact verification, query optimization and entity resolution. You will work with the entity resolution team to develop generic entity resolution models that work for every class of data in AKG (e.g., people, places, movies, etc.), that scale to hundreds of millions of entities, and that work incrementally. You will collaborate with other scientists to develop entity representations, training data and matching models to solve the problem. You will also work to optimize models to be performant and cost-effective in production.A successful candidate has a strong machine learning and LLM background, identifies and adapts state of the art techniques to solve new problems, builds POCs quickly to identify promising techniques and reject ideas that do not work, and enjoys collaborating with engineering teams to ship solutions incrementally via rapid experimentation. A successful candidate is an avid reader of the scientific literature and works to publish in peer reviewed conferences.Key job responsibilitiesAs an Applied Scientist, you will apply scientific rigor to your work. You will work incrementally, setting up and executing experiments informed by rigorous failure space analysis of prior experiments. You have a knack for writing clear, succinct and informative reports of your experiments. You collaborate and seek guidance from other scientists on your team to define the next experiments. You work with engineers to understand deployment requirements and constraints, and work to address them. You work continuously with customers and stakeholders to simplify and adapt to deliver for our customers.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 ...