Your Career, Your Rules.

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 ...

Would you like to implement innovative cloud computing solutions and solve the world's most complex technical problems? Do you have a deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to build a better world for future generations? This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Government agencies implement innovative cloud computing solutions and solve technical problems. AWS established a specialized group of service teams responsible for the work we are doing with the U.S. Intelligence Community. We are building some of the largest and most complex distributed systems in the world, and we need adaptable people to help us implement and operate them. The AWS Route 53, Availability, & Perimeter Protection ADC team is seeking highly motivated engineers who are focused on operational excellence and troubleshooting complex system operations, have a good understanding of Linux, networking, and general knowledge of cloud services. We need engineers who understand how to think big, and simplify solutions to complex problems; all the while ensuring that our customers continue to have the best experience possible. You will be able to take a defined project, break down the work to help define milestones, and feedback mechanisms. You identify when implementations are not highly available or have defects; you investigate systemic patterns. You resolve, mitigate, or escalate operational concerns in a timely manner. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.Position located in Annapolis Junction, MD 20701. Relocation assistance would be offered (pending qualification guidelines).Key job responsibilitiesThis role focuses on Availability & Perimeter Protection services in isolated ADC regions. Responsibilities include maintaining pipelines to remain within parity with commercial regions, providing 24/7 on-call support for our services, providing insight into the air-gapped operations to service owning teams, and building our services out into new ADC regions. A day in the lifeIt’s always Day 1 at Amazon. On a typical day, an ADC Engineer manages and monitors systems in air-gapped regions. This would involve deep diving anomalies, addressing scaling needs, and using this data to ensure our services maintain a 100% uptime SLA! We do all this through existing tools and when required, we build or update tools typically written in Python or Ruby. The most exciting part of this role is working to deploy and build the latest features and software releases for our air-gapped customers.About the teamThe US ADC Route 53, Availability, & Perimeter Protection Team is responsible for the deployment and support of numerous defensive and protective services as well as service that enable continued customer operations during infrastructure outages to air gapped AWS cloud customers where security and uptime is the highest priority. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- Associate's degree or above, or Cloud+ or GICSP (Global Industrial Cyber Security Professional) or GSEC (GIAC Security Essentials) or SSCP (Systems Security Certified Practitioner)- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

Amazon is seeking enthusiastic and engaging Tour Leaders to lead immersive 90-minute in-person tours of our state-of-the-art Robotics Fulfillment Centers. As a Tour Leader, you will play a crucial role in showcasing Amazon's technology, innovative processes, and dedicated workforce to a diverse audience. This position offers a unique opportunity to highlight Amazon's rich history, our commitment to being Earth's Best Employer, and our ambitious Climate Pledge goals. We are seeking an enthusiastic individual with good communication skills and attention to detail in providing informative and engaging tours of their fulfillment center. The ideal candidate is passionate about technology, sustainability, and creating exceptional customer experiences.At the end of each day, you'll review feedback from tour participants and contribute to continuous improvement efforts for the tour program.Key job responsibilities1. Conduct multiple 90-minute tours per day, providing an engaging and informative experience for visitors.2. Develop a deep understanding of Amazon's fulfillment processes, robotics technology, and company history.3. Effectively communicate complex technical concepts to audiences with varying levels of technical knowledge.4. Highlight Amazon's commitment to employee development, safety, and well-being.5. Educate visitors about Amazon's sustainability initiatives and the Climate Pledge.6. Ensure tour groups adhere to all safety protocols and facility regulations.7. Maintain positive site relationships and participate in site & community engagement activities8. Staff and train Ambassador & Proxy teams 9. Respond to questions from tour participants accurately and professionally.10. Collaborate with fulfillment center teams to stay updated on the latest developments and processes.11. Maintain and update tour content to reflect new technologies and company initiatives.12. Collect and report feedback from tour participants to improve the overall experience.A day in the lifeAs a Tour Guide at an Amazon Robotics Fulfillment Center, your day will be dynamic and engaging. You'll start by reviewing the day's tour schedule and preparing any necessary materials. Before each tour, you'll greet visitors, provide safety briefings, and distribute required protective equipment.During the tours, you'll guide groups through various sections of the fulfillment center, explaining the intricate dance between human associates and robotic systems. You'll showcase how customer orders are processed, picked, packed, and shipped with incredible efficiency. Throughout the tour, you'll weave in stories about Amazon's history, our commitment to employee growth, and our sustainability efforts.Between tours, you'll have time to refresh your knowledge, update tour content, and collaborate with colleagues on our global team. You may also participate in training sessions to enhance your skills and stay current on Amazon's latest innovations.About the teamYou'll be joining a passionate team of Tour Leaders and program managers around the world that are dedicated to showcasing Amazon's innovation and commitment to customer obsession. Our team works closely with various departments within the fulfillment center, including operations, robotics, human resources, and sustainability teams. We're a collaborative group that values creativity, continuous learning, and the ability to inspire others. As part of this team, you'll have the opportunity to contribute to the development of tour content and help shape the public's perception of Amazon's fulfillment operations.This role offers an exciting opportunity to be at the forefront of Amazon's technological advancements while developing valuable public speaking and customer engagement skills. Join us in sharing Amazon's story and inspiring the next generation of innovators!BASIC QUALIFICATIONS• Speak, write, and read fluently in English • Strong written and oral communication skills ...

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 July-December 2024. Come join us in North Reading, MA, or in our newly expanded innovation hub in Westborough, MA!Both campuses provide a unique opportunity for co-ops to have direct access to robotics testing labs and manufacturing facilities. Remote and hybrid flexibility is available for this role. Amazon Robotics, a wholly owned subsidiary of Amazon.com, empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfilment 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 is seeking a talented and motivated computer engineering or robotics student to assist with firmware development, testing, and support for manufacturing operations. The ideal candidate will have had experience with and interest in embedded system design, possess good communication skills, and enjoy problem solving both independently and in team settings. This position reports directly to the Firmware Manager.The Firmware Engineering Co-op will be responsible for: - Assisting the firmware team in writing code, scripts, and tests for our current and next generation of robotic systems - Assisting an interdisciplinary team of engineers in the execution of product designs from concept to production including design, prototyping, validation, testing, and certification - Having an understanding of and interest in the technical principles, theories, and concepts in embedded firmware development and testing BASIC QUALIFICATIONS- Currently working towards a BS in Computer Engineering, Robotics, or a similar field and must have at least one semester of school left to complete after the end of the co-op- Must be eligible and available for a full-time (40h / week) role from July-December 2025- Classroom and project experience in developing embedded systems, firmware, and/or control systems- Prior internship or co-op experience in a similar field ...

Amazon’s global talent is incredibly complex with unique problems to be solved for each line of business. Global Talent Management (GTM) is centrally responsible for managing and evolving Amazon’s human capital through intelligent talent products and processes. GTM Science is a growing interdisciplinary science team within GTM that develops science products and services to facilitate Amazon’s growth and development of talent across all of our businesses and locations around the world. Our vision in GTM Science is to use machine learning and Generative AI to scalably solve organizational challenges focused on talent movement, talent differentiation, employee-role matching, promotion processes, organizational design and succession planning, diversity and inclusion, and new areas that address the evolving needs of our diverse employee base. We are looking for an experienced ML/AI scientist to work on talent science products that draw from a range of fields such as algorithmic fairness, natural language processing, supervised and unsupervised learning, recommendation systems, machine learning on graphs, reinforcement learning and others on rich and novel datasets. The role has high visibility to senior Amazon business leaders and involves working with other scientists, and partnering with engineering and product teams to integrate these models into production systems. As an applied scientist in GTM Science, you will have the opportunity to work on exciting problems in one of the most innovative applications of science in the People Experience and Technology space. You will help to solve high impact business problems in an unconventional domain, and be encouraged to patent and publish your contributions. If this kind of work excites you, reach out to us to find out more! Key Responsibilities · Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders. · Develop fair predictive models to understand important business and people-centered outcomes · Productionize ML and science models at the scale of Amazon 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 ...

Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Applied Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative models knowledge. Key job responsibilitiesAs an Applied Scientist with the AIT 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 international customers in the form of products and services that make use of digital assistance technology. You will leverage Amazon’s heterogeneous data sources, unique but diverse international customer nuances and large-scale computing resources to accelerate advances in voice domain in multi-modal setup. The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in this vast and quickly evolving field. They thrive in fast-paced environments to will tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. A day in the life· Analyze, understand, and model customer behavior and the customer experience based on large scale data. Especially showing passion towards solving for international customer-centric challenges.· Build novel online & offline evaluation metrics an methodologies for personal digital assistants and customer scenarios, on multi-modal devices.· innovate and deliver deep learning based innovation across life-cycle such as policy-based learning, international customer specific model performance tuning.· Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing· Contribute through industry first research to drive the innovation forward. 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 a team of innovative scientists to research and develop generative AI technology that would disrupt the industry? Do you enjoy dealing with ambiguity and working on hard problems in a fast-paced environment?Amazon Connect is a highly disruptive cloud-based contact center from AWS that enables businesses to deliver intelligent, engaging, dynamic, and personalized customer service experiences. As an Applied Scientist on our team, you will work closely with senior technical and business leaders from within the team and across AWS. You distill insight from huge data sets, conduct cutting edge research, foster ML models from conception to deployment. You have deep expertise in machine learning and deep learning broadly, and extensive domain knowledge in natural language processing, generative AI and LLMs, etc. The ideal candidate has the ability to understand, implement, innovate and on the state-of-the-art generative AI based systems. You are comfortable with quickly prototyping and iterating your ideas to build robust ML models using technology such as PyTorch, Tensorflow, AWS Sagemaker, and SparkML. Our team is at an early stage, so you will have significant impact on our ML deliverables with little operational load from existing models/systems.We have a rapidly growing customer base and an exciting charter in front of us that includes solving highly complex engineering and scientific problems. We are looking for passionate, talented, and experienced people to join us to innovate on modern contact centers in the cloud. The position represents a rare opportunity to be a part of a fast-growing business soon after launch, and help shape the technology and product as we grow. You will be playing a crucial role in developing the next generation contact center, and get the opportunity to design and deliver scalable, resilient systems while maintaining a constant customer focus.Our team is leading ML and optimization features in Amazon Connect. We are a team of scientists and engineers working on multiple science projects for Amazon Connect. We use state-of-the-art science and engineering practices to address the hard problems in contact center operation and management for our customers, and we move fast to implement solutions and refine them based on customer feedback.Learn more about Amazon Connect here: https://aws.amazon.com/connect/About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience building machine learning models or developing algorithms for business application- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon is 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 ...

The Global Transportation Services (GTS) organization is looking for an Administrative Assistant who wants to work in a fast-paced, exciting, and growing organization. We are seeking an exceptionally talented, dependable, customer-obsessed, and self-motivated Administrative Assistant to work under the direct supervision of the Executive Assistant to the Vice President of Team. This is a great opportunity to join a stellar administrative team, with a variety of responsibilities for you to grow and further your professional career. Key job responsibilitiesKey Job Responsibilities: • Order and maintain office supply levels.• Complete and file expense reports.• Plan logistics for meetings and events of various sizes.• Create and maintain team organization charts.• Assist with space planning.• Provide back-up calendaring support.• Collaborate closely with departmental Executive Assistant (EA) peers.• Special projects as assigned.• Back up to other EA on the teamBASIC QUALIFICATIONS- 2+ years of professional or military experience- 1+ years of working with computers and Microsoft Office products and applications experience- High school or equivalent- Experience with Microsoft Office products and applications- Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours, and be able to frequently push, pull, squat, bend, and reach- Work 40 hours/week, and overtime as required- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays- Are 18 years of age or older ...

Amazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks. By applying to this position, your application will be considered for all locations we hire for in the United States.Are you excited about Machine Learning, chip acceleration, compilers, storage, systems or EC2? Are you passionate about delivering high quality services that affect hundreds of thousands of users? We are the dubbed the "secret sauce" behind AWS's success with development centers in the U.S. and Israel, and Amazon is at the forefront of innovation by combining cloud scale with the world’s most talented engineers.If this sounds exciting to you - come build the future with us!Key job responsibilitiesInnovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safetyWriting requirements capturing documents, design documents, integration test plans, and deployment plansCommunicating status and progress of deliverables to schedule, and sharing learnings/ innovations with your team and stakeholdersBASIC QUALIFICATIONS- Currently enrolled in a Bachelor’s degree program or higher majoring in Computer Science, Computer Engineering, Electrical Engineering or related technical field with anticipated graduation date of December 2025 or later- Programming experience in internship or coursework with programming language such as Python and/or C or C++- Candidates with strong interests and academic qualifications/research focus in two of the following: 1. Distributed systems, algorithms (MPI, NCCL, or similar), 2. Operating Systems, 3. Linux system programming/services, 4. Computer architecture, 5. System Development, 6. Complexity analysis ...

Amazon's Pricing and Promotions Science is seeking a strong Applied Scientist II for work on deep causal learning. This work provides business-critical insights into pricing strategies that are of interest to Amazon's most senior leaders.We are looking for a talented, technically skilled scientist with a strong sense of ownership and drive to join the Impact Intelligence team. This team's charter is to build causal models that (a) provide entitlements of key business programs, and (b) generate trustworthy signals for use in a multitude of downstream ML systems that have visible impact on the customer experience worldwide.Key job responsibilities- Build scalable solutions. We operate on large-scale data to drive insights from complex environments.- Approach with rigor. Due to the lack of ground truth inherent in causal questions, we expect our scientists to maintain high standards on the care put into their models.- Stay current. We obsess over what resources we can use to iterate on our model designs, and we expect our scientists to stay up-to-date with the latest approaches to causal learning.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 ...

Amazon is seeking enthusiastic and engaging Tour Leaders to lead immersive 90-minute in-person tours of our state-of-the-art Robotics Fulfillment Centers. As a Tour Leader, you will play a crucial role in showcasing Amazon's technology, innovative processes, and dedicated workforce to a diverse audience. This position offers a unique opportunity to highlight Amazon's rich history, our commitment to being Earth's Best Employer, and our ambitious Climate Pledge goals. We are seeking an enthusiastic individual with good communication skills and attention to detail in providing informative and engaging tours of their fulfillment center. The ideal candidate is passionate about technology, sustainability, and creating exceptional customer experiences.At the end of each day, you'll review feedback from tour participants and contribute to continuous improvement efforts for the tour program.Key job responsibilities1. Conduct multiple 90-minute tours per day, providing an engaging and informative experience for visitors.2. Develop a deep understanding of Amazon's fulfillment processes, robotics technology, and company history.3. Effectively communicate complex technical concepts to audiences with varying levels of technical knowledge.4. Highlight Amazon's commitment to employee development, safety, and well-being.5. Educate visitors about Amazon's sustainability initiatives and the Climate Pledge.6. Ensure tour groups adhere to all safety protocols and facility regulations.7. Maintain positive site relationships and participate in site & community engagement activities8. Staff and train Ambassador & Proxy teams 9. Respond to questions from tour participants accurately and professionally.10. Collaborate with fulfillment center teams to stay updated on the latest developments and processes.11. Maintain and update tour content to reflect new technologies and company initiatives.12. Collect and report feedback from tour participants to improve the overall experience.A day in the lifeAs a Tour Guide at an Amazon Robotics Fulfillment Center, your day will be dynamic and engaging. You'll start by reviewing the day's tour schedule and preparing any necessary materials. Before each tour, you'll greet visitors, provide safety briefings, and distribute required protective equipment.During the tours, you'll guide groups through various sections of the fulfillment center, explaining the intricate dance between human associates and robotic systems. You'll showcase how customer orders are processed, picked, packed, and shipped with incredible efficiency. Throughout the tour, you'll weave in stories about Amazon's history, our commitment to employee growth, and our sustainability efforts.Between tours, you'll have time to refresh your knowledge, update tour content, and collaborate with colleagues on our global team. You may also participate in training sessions to enhance your skills and stay current on Amazon's latest innovations.About the teamYou'll be joining a passionate team of Tour Leaders and program managers around the world that are dedicated to showcasing Amazon's innovation and commitment to customer obsession. Our team works closely with various departments within the fulfillment center, including operations, robotics, human resources, and sustainability teams. We're a collaborative group that values creativity, continuous learning, and the ability to inspire others. As part of this team, you'll have the opportunity to contribute to the development of tour content and help shape the public's perception of Amazon's fulfillment operations.This role offers an exciting opportunity to be at the forefront of Amazon's technological advancements while developing valuable public speaking and customer engagement skills. Join us in sharing Amazon's story and inspiring the next generation of innovators!BASIC QUALIFICATIONS• Speak, write, and read fluently in English • Strong written and oral communication skills ...

US 3P Business is seeking a dynamic and motivated Account Representative for our Fulfillment Recruitment & Development sales team (www.amazonservices.com). This position is chartered with developing and managing a sales pipeline mix of both high value and transactional accounts while executing sales and account management strategies to deliver results that will exceed output goals. Specifically, this individual will be responsible for identifying and building relationships with key influencers and decision-makers of prospective and 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 3+ years of successful sales experience delivering results, 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 strong 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. A bachelor's degree is required.Key job responsibilitiesThis position will be focused on the recruitment and development of Amazon Sellers with Handmade products into the FBA program, and optimizing fulfillment capabilities. Specifically, this individual will be responsible for identifying and building relationships with key influencers and decision-makers of prospective and existing accounts, along with internal stakeholders and cross- functional teams to create compelling Amazon solutions that drive Seller’s Amazon growth.A day in the lifeIn this role you will manage a sales pipeline on a daily basis - reaching out to existing Amazon Sellers via phone and email to educate on the benefits of FBA. Once committed you will train and consult the Sellers to better optimize their fulfillment capabilities and be self-sufficient in the future.About the teamYou will be joining a sub-team of FBA Sales devoted to enrolling Handmade products. This sub-team is part of the greater Fulfillment Recruitment & Development Team (~50 Account Representatives) within US 3P Business. The organization's overarching charge is helping Amazon 3P Sellers more effectively sell and ship their products on Amazon.com.BASIC QUALIFICATIONS- Bachelor's degree or equivalent, or 3+ years of sales or marketing work (like e-commerce, retail technology, SaaS) or equivalent experience ...

At Amazon's Stores Foundational AI - M5 team, we're revolutionizing e-commerce through advanced Large Language Models (LLMs). Our models power various customer interactions across Amazon's platform, enhancing the traditional and conversational shopping experience at every turn. We're looking for an exceptional science leader to spearhead our AI innovation efforts. In this role, you'll lead a high-performing team of scientists, developing cutting-edge LLM technologies that directly impact customer experiences. You'll collaborate with cross-functional teams, identifying new AI opportunities and translating research into practical, scalable solutions. As a leader, you'll mentor team members, fostering a culture of excellence and continuous learning. Your ability to inspire and guide technical experts will be crucial in pushing the boundaries of AI-driven e-commerce. This position offers a unique opportunity to shape the future of online shopping, making a lasting impact on millions of customers worldwide. If you're passionate about emerging technology, driven by customer-centric innovation, and ready to make a significant industry impact, we want to hear from you. Join us in transforming the e-commerce landscape through the power of AI.BASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- At least 5 years experience in building large-scale machine learning and solutions at scale- At least 2 years programming experience in Java, Python, Scala, C++, or other mainstream language- Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization ...

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.This is an opportunity to sell world class personalization technologies and drive sales across multiple platforms to mid-to-large brand and performance advertisers. There are also opportunities to grow and retain revenue from existing advertisers. If you have a consultative selling style, yield from media and or marketing world and are ready to deliver strategic advertising solutions to your clients apply today!Key job responsibilities• Use your influencing and relationship-building skills to prospect, penetrate and develop executive-level relationships with clients, uncovering the business needs of Amazon's clients• Retain and grow revenue from existing advertisers• Drive deals to closure in a new business environment• You influence how decisions are made by leading with data, and are focused on understanding how Amazon's products and tools can help build relevant advertising solutions for our customers• Deliver the highest level of sales and customer service to our clients• Utilize sales CRM to measure progress against pertinent sales activities and opportunities• Understand and learn about the e-commerce industry and competitive environment, including competitor product offerings• Collaborate cross-functionally to create and execute advertising plans for different types of businessesA day in the lifeGGS Performance Account Executive's are responsible for daily/weekly call and opportunity inputs by customizing Amazon Ads recommendations to help grow an advertisers business on and off of Amazon using in console self-service solutions. This includes having a deep understanding of Amazon Ads reporting, performance metrics, and ability to map back ad revenue to attain quota responsibilities. About the teamThe GGS Performance Growth team manages small to medium sized business focusing on both growing and activating advertisers across our product suite. AEs partner with Ad Success teams, Seller/Vendor teams and on occasion product teams to deliver new or existing solutions. BASIC QUALIFICATIONS- 1+ years of sales experience - 1+ years of selling advertising, advertising-like services, SaaS, or tech sales experience - Experience with online productivity tools such as Office 365, Salesforce or similar software ...

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos).If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.Come work on the Amazon Prime Air Team!Our Prime Air Drone Flight Sciences High Fidelity Methods (HFM) team is looking for an outstanding member to develop and verify our Aerodynamic Database and associated aerodynamics models used for engineering analyses and vehicle simulations. These models are the backbone of every flight simulation performed within Prime Air and are a critical element in the aircraft design, verification, and certification process.These models are used to predict many attributes of the vehicle performance including range, maneuverability, tracking error, and aircraft stability. They are a key input to design decisions, vehicle component sizing and flight software algorithm development. The accuracy and reliability of these flight model are critical to the success of Prime Air.Key job responsibilitiesThe person in this role is responsible for owning the development, deployment, verification, and maintenance of models from end-to-end. This includes the initial gathering of the downstream customer needs, identifying the most suitable modelling approach, coordinating the generation of input data, training models, developing and maintaining software interfaces, and verifying the model accuracy.This person will also be responsible for determining the most suitable modeling approach for a given physical phenomena. They need to possess knowledge of various machine learning techniques, and their respective advantages and limitations. They will need to have a detailed understanding of the types of physics to be modelled including vehicle aerodynamics, multibody dynamics, and atmosphere physics. They will be responsible for designing experiments for generating data used to train and verify surrogate models. They need to have a basic understanding of the methods used to generate high-fidelity aerodynamics predictions including CFD, wind tunnel testing, and flight testing. They will be responsible for validating the models by leveraging uncertainty quantification, system identification, and statistical analyses.BASIC QUALIFICATIONS- Bachelors Degree in aerospace engineering, mechanical engineering, physics and 5+ years experience or equivalent- Experience with flight vehicle design, simulation, development, and verification & validation (V&V)- Proficient with at least one modern programming language (e.g. C++, Python, Java, VBA) ...

Do you want to create the greatest-possible worldwide impact in Robotics? Amazon has the world's most exciting treasure trove of robotics challenges. At Amazon Robotics we build high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. Amazon Robotics invents and scales AI systems for robotics in fulfillment. Our mission is to enable robots to interact safely, efficiently, and fluently high density real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.We hire and develop collaborative subject matter experts in AI with a focus on computer vision, deep learning, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity comprehension, large scale generative models, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks.We are seeking a hands-on, seasoned Applied Scientists who will be deep in code and algorithms; who are technically strong in building scalable vision systems across item grasping, pose estimation, class imbalanced classifiers, identification and segmentation. As a Applied Scientist, you will contribute to the research and development of advanced robotic systems; your work along with other top-notch scientists and engineers will deliver the world's most scalable and robust robotic systems. You will drive ideas to products using paradigms such as deep learning, semi supervised learning and active learning.As a Applied Scientist, you will also help guide and mentor our team of applied scientists and engineers. You will take on complex customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation while you own. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a partnership focused team environment.You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a bold disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers.Key job responsibilities- Architect, design, and implement Machine Learning models for vision systems on robotic platforms- Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap.- Work with stakeholders across , science, and operations teams to iterate on design and implementation.- Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.- Prototype and test concepts or features, both through simulation and emulators and with live robotic equipment- Work directly with customers and partners to test prototypes and incorporate feedback- Mentor other engineer team members.A day in the lifeAmazon offers a full range of benefits for 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 If 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- 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 developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language ...

The Conversational Assistant Services (CAS) seeks a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. As part of this team, you will collaborate with talented peers to create scalable solutions for an innovative conversational assistant, aiming to revolutionize user experiences for millions of Alexa customers. The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in the field. They thrive in fast-paced environments, possess the drive to tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. Join us in our mission to redefine industry standards and provide unparalleled experiences for our customers. Key job responsibilities. You will analyze, understand and improve user experiences by leveraging Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. . You will work on core LLM technologies, including developing best-in-class modeling, prompt optimization algorithms to enable Conversation AI use cases · Build and measure novel online & offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints · Create, innovate and deliver deep learning, policy-based learning, and/or machine learning based algorithms to deliver customer-impacting results · Perform model/data analysis and monitor metrics through online A/B testing · Research and implement novel machine learning and deep learning algorithms and models. BASIC QUALIFICATIONS- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- 2+ years of building models for business application experience- 2+ years of hands-on experience in modeling and analysis, and in deploying machine learning / deep learning models in production. ...

Unleash Your Potential as an AI TrailblazerAt Amazon, we're on a mission to revolutionize the way people discover and access information. Our Applied Science team is at the forefront of this endeavor, pushing the boundaries of recommender systems and information retrieval. We're seeking brilliant minds to join us as interns and contribute to the development of cutting-edge AI solutions that will shape the future of personalized experiences.As an Applied Science Intern focused on Recommender Systems and Information Retrieval in Machine Learning, you'll have the opportunity to work alongside renowned scientists and engineers, tackling complex challenges in areas such as deep learning, natural language processing, and large-scale distributed systems. Your contributions will directly impact the products and services used by millions of Amazon customers worldwide.Imagine a role where you immerse yourself in groundbreaking research, exploring novel machine learning models for product recommendations, personalized search, and information retrieval tasks. You'll leverage natural language processing and information retrieval techniques to unlock insights from vast repositories of unstructured data, fueling the next generation of AI applications. 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: Knowledge Graphs and Extraction, Programming/Scripting Languages, Time Series, Machine Learning, Natural Language Processing, Deep Learning,Neural Networks/GNNs, Large Language Models, Data Structures and Algorithms, Graph Modeling, Collaborative Filtering, Learning to Rank, Recommender SystemsIn this role, you'll collaborate with brilliant minds to develop innovative frameworks and tools that streamline the lifecycle of machine learning assets, from data to deployed models in areas at the intersection of Knowledge Management within Machine Learning. You will conduct groundbreaking research into emerging best practices and innovations in the field of ML operations, knowledge engineering, and information management, proposing novel approaches that could further enhance Amazon's machine learning capabilities.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- Design, implement, and experimentally evaluate new recommendation and search algorithms using large-scale datasets- Develop scalable data processing pipelines to ingest, clean, and featurize diverse data sources for model training- Conduct research into the latest advancements in recommender systems, information retrieval, and related machine learning domains- Collaborate with cross-functional teams to integrate your innovative solutions into production systems, impacting millions of Amazon customers worldwide- Communicate your findings through captivating presentations, technical documentation, and potential publications, sharing your knowledge with the global AI communityBASIC 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: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages ...

The Next Generation Developer Experience (NGDE) Science team is looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence (AI) and machine learning (ML). You will be part of a team building AI-based services for Amazon Q Developer with the focus on redefining the way developer work. The team works in close collaboration with other AWS AI services such as AWS Bedrock, the AWS IDE Toolkit, and Amazon Sagemaker. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you.Key job responsibilitiesAs an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.A day in the lifeDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. This team is part of AWS Utility Computing: Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.About the teamThe Amazon Web Services (AWS) Next Gen DevX (NGDE) team is building Amazon Q for Developers to re-imagine all aspects of how builders create applications. We build AI products that are deployed in the IDE, the AWS console, and in web-based tools and services. We provide developers with AI assistants to generate code, features, and entire applications as well as to interact with AWS. We explore new technologies and find creative solutions, produce original research and bring cutting edge innovation to our customers. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world. If you are excited about this space, this is the team for you.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 5+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Experience in any of the following areas: Deep-learning, Generative AI, and Large Language Models ...