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Behind Amazon's working backwards approach
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US, VA, Herndon
Do you want to build cutting-edge solutions to help customers solve their most interesting business challenges? Do you want to work alongside a team of passionate and talented scientists and engineers on the next generation of intelligent customer experiences leveraging state-of-the-art deep learning and generative models? AWS Envision Engineering is seeking an Applied Scientist to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems for our World Wide Public Sector customers. As an applied scientist, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities. You will be working with terabytes of text, images, and other types of data to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. You will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. This position has the ability to be based in Arlington, VA, London or Toronto. Key job responsibilities We’re looking for talented scientists capable of developing and applying ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas critical to our World Wide Public Sector customers such as drug discovery, fraud prevention, predictive maintenance, pricing optimization, call center analytics, and virtual assistants among others. As an Applied Scientist, you will be expected to: - Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries. - Directly interact with customers to understand their business problems and help them define and implement scalable Generative AI solutions that solve them. - Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new solutions. About the team We are a team of problem-solvers and builders who work on our customer’s challenges that don’t have cookie-cutter solutions. We often don’t have the answers right away, and are expected to Dive Deep to figure out the best approach. The code we write provides immediate value for customers by showing how technology can solve their problems. We are open to hiring candidates to work out of one of the following locations: Herndon, VA, USA
CA, QC, Montreal
En tant que Scientifique de données, vous contribuez à la conception de fonctionnalités engageantes orientées vers les joueuses et les joueurs. Faisant partie de l'équipe d'intégration (onboarding), vous collaborez avec les équipes de développement et de conception de jeu pour implémenter et calibrer les fonctionnalités selon les actions et rétroactions des joueuses et des joueurs. Vous les soutenez dans leur progression dans le jeu et développez des systèmes pour suivre, mesurer et améliorer leurs performances. Grâce à votre solide expérience en statistiques et votre talent pour modéliser des systèmes complexes, vous participez à créer un environnement de jeu dynamique et immersif où les joueuses et les joueurs peuvent s'engager et évoluer de manière significative. Rejoindre Amazon Games Montréal, c'est contribuer à la fondation d'un nouveau studio de jeux vidéo à taille humaine; participer à la création d'une nouvelle propriété intellectuelle revisitant l’arène de bataille en ligne multijoueur (oui, un MOBA); et collaborer avec une équipe d'experts polyvalents qui ont b'en du fun à travailler ensemble. Venez construire l'avenir avec nous! --- As a Data Scientist, you contribute to the design of engaging player-facing features. As part of the onboarding team, you work directly with developers and game designers to implement and calibrate in-game features based on player actions. You support players as they progress through the game and develop systems to track, measure and improve their performance. With a strong background in statistics and a remarkable talent for modelling complex systems, you help create a dynamic, immersive game environment where players can engage and evolve in meaningful ways. Joining Amazon Games Montréal means taking part in the foundation of a new video game studio that operates at a focused, human scale; participating in the creation of a new intellectual property, a fresh take on the AAA multiplayer online battle arena game (yes, a MOBA); and collaborating with a team of well-rounded experts who have a great time working together. Come build the future with us! Key job responsibilities Responsabilités - Travailler en étroite collaboration avec l'équipe de développement du jeu pour construire des modèles et concevoir des systèmes qui reflètent fidèlement les interactions du jeu et les performances des joueuses et des joueurs; - Définir les spécifications des collectes de données et aligner la structure des données sur les systèmes du jeu; - Collaborer à l'intégration des modèles et aux fonctionnalités de jeu connexes; - Développer des outils pour surveiller et rendre compte de la qualité des modèles; - Définir des indicateurs de performance significatifs et des outils de visualisation de données pertinents pour suivre la progression des joueuses et des joueurs. --- Responsibilities - Work closely with the game development team to build models and design systems that accurately reflect game interactions and player performance; - Define data collection specifications and align data structure with in-game systems; - Collaborate on model integration and related gameplay features; - Develop tools to monitor and report on model quality; - Define meaningful player performance KPIs and relevant data visualization tools to track player progression. A day in the life À propos d’Amazon Games Amazon Games transpose les principes de la culture d’Amazon au monde de la conception de jeux. Nos équipes diversifiées, composées de personnes talentueuses et créatives, jumèlent leur passion du jeu à la profondeur unique d’Amazon. Toutes nos équipes, où qu’elles se trouvent, sont unies par un objectif commun : partager des expériences de jeu exceptionnelles avec les clients du monde entier. Nous croyons en un avenir où toutes et tous jouent, créent, rivalisent, collaborent et s’unissent à travers les jeux. Et nous recherchons les bonnes personnes qui nous aideront à bâtir cet avenir! En vous appuyant, entre autres, sur la puissance de Twitch et d’AWS, vous aurez l’occasion d’innover dans le domaine de la jouabilité, de la créativité, du marketing et des technologies, et travaillerez aux côtés de certaines des personnes les plus brillantes et créatives de l’industrie. --- About Amazon Games Amazon Games applies the principles of Amazonian culture to the world of game design. We have a diverse team of talented, creative people pairing their love of making games with the unique strengths that come with being part of Amazon. Across all of our teams and locations, we are united by a common purpose: to share great gaming experiences with customers around the world. We believe in a future where everyone is a gamer and everyone can create, compete, collaborate and connect through games, and we are looking for the right people to help us build that future. With the power of Twitch and AWS at your fingertips, you will have the chance to innovate in gameplay, creativity, marketing, and technology, while working alongside some of the smartest and most creative minds in the industry. We are open to hiring candidates to work out of one of the following locations: Montreal, QC, CAN
DE, BE, Berlin
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and plan for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for an experienced machine learning expert capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Senior Applied Scientist specialising in generative AI, you will - Collaborate with ML scientist and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI - Mentor other scientists in the team and broader AWS - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to Product and Engineering teams to help define product direction We are open to hiring candidates to work out of one of the following locations: Berlin, BE, DEU
US, WA, Seattle
The Low ASP Economics and Experiences (LeeP) team within Consumables strives to make Amazon the preferred place where customers shop Everyday Essential items. We enable this vision by building solutions that make Everyday Essentials shopping delightful and frictionless for our customers. The LeeP science team supports this vision by building strategic science tools to optimize LeeP products and improve customer experience. Key job responsibilities The role requires expertise in causal inference techniques with the expectation to use these techniques to drive meaningful impact on the LeeP products. The Consumables and Everyday Essentials business is complex, ambiguous, and can change quickly. You'll need to be adaptable and resourceful, converting complex business problems into estimable econometric problems, and building solutions that anticipate future business needs. You will be expected to work collaboratively with other scientists and software developers to scale these causal inference techniques and ensure they are robust to production environments as well. As an Economist, you will also contribute to the research community, by working with other scientists and Economists across Amazon. Our Science community values teamwork, supports continued learning, and recognizes the need to experiment and try new ideas that may fail. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
US, WA, Seattle
Do you want to create worldwide impact in Robotics? Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of 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 subject matter experts in robotics with a focus on motion planning, computer vision, deep learning, intelligent control, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, closed-loop control, robotic grasping, and manipulation in high-contact environments—all of which have high-value impact for our current and future fulfillment networks. We are seeking a hands-on, Applied Science Manager for Perception/ Computer Vision who will be deep in code and algorithms; who has a wealth of robotics/ computer vision experience; and who is technically strong in building scalable ML solutions. You will lead the research and development of advanced robotic systems; you will work along with other top-notch scientists and engineers to deliver the world's most scalable and robust robotic systems. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation. A successful candidate has excellent communication skills and a drive to achieve results in a collaborative 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 fearless 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 * As a manager, you will be responsible for delivering critical perception capabilities. * You will manage across the science and engineering job families required to build these systems. * You will prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in day-to-day people and performance management tasks. * You will keep your technical skills current to contribute to architecture and design discussions. * You will regularly take part in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify the root cause of complex issues. * Set a vision for your team and create product roadmaps. Help your team sort out technical and product requirements and priorities. Use project management skills to deliver product roadmap items and other cross-team projects. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
US, WA, Bellevue
Mechatronics and Sustainable Packaging is seeking a Sr. Research Scientist with experience in life cycle assessments (LCAs) and carbon accounting for industrial manufacturing to join our team. Our mission is to eliminate packaging waste from Amazon’s supply chain to create better customer experiences while reducing our carbon footprint. Our team of engineers, scientists and product managers interface with core Operations, Amazon Fulfillment Technologies and Robotics, finance, procurement, and suppliers to develop solutions in pursuit of this objective. As a subject matter expert in LCAs with experience in evaluating emissions for industrial packaging manufacturing, you will drive future improvements to Packaging carbon metrics reporting. In this role you will both think big and execute, developing scalable tools and models that align with the GHG Protocol and improve the fidelity of our packaging emissions. The Role: As a Research Scientist in Sustainable Packaging, you will be responsible for building the framework and conducting assessments evaluating the sustainability impacts of supply chains, from manufacturing, to transportation, to consumer use and end-of-life. The ideal candidate will have industry experience conducting life cycle assessments (LCAs) of fiber-based packaging products, and detailed knowledge of manufacturing, design, development, and/or sourcing. This candidate will also possess excellent communication, negotiation and influencing skills to drive consensus across multiple stakeholders. The successful candidate will have strong analytical skills and the ability to apply systems thinking to complex, fast moving problems. The candidate must have strong working-knowledge of scientific methods and international standards (GHG Protocol, ISO), with experience using Ecoinvent, GaBi, and USEEIO databases. The candidate should be comfortable working with imperfect data, identifying sources of uncertainty, and finding public data to fill the gaps where needed. The candidate will act as a Subject Matter Expert for packaging-related LCAs and carbon metrics, leading the development of research models and data analytics at scale. Amazon’s culture encourages innovation, and the candidate should be comfortable working in cold start scenarios in order to push the envelope on the hard to solve sustainability issues. Key job responsibilities • Manage LCA-related research projects through all stages: ideation, modeling, data collection, data analysis, data visualization, and reporting to provide sustainability insights and guidance at scale. • Lead the development LCA tools and models in accordance with standards and regulatory requirements for packaging products • Professionally communicate to senior business leaders • Collaborate with data engineering and business intelligence teams to drive model/tool design and new feature creations. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Sumner, WA, USA
US, MA, Cambridge
The Alexa team is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background, to help build industry-leading Speech and Language technology. Key job responsibilities As an Applied Scientist with the Alexa team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. About the team The Alexa team has a mission to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers. We are open to hiring candidates to work out of one of the following locations: Cambridge, MA, USA
US, WA, Bellevue
Amazon procures merchandise from thousands of vendors worldwide which enables us to offer the world’s widest selection. Optimal Sourcing Systems manages the systems, science, business, and operation of Amazon’s sourcing systems which are responsible for sourcing inventory from vendors worldwide, enabling out of stock orders for inventory outside of the Amazon network, and orchestrating the inbound flow of goods from Selling Partners globally. The organization owns a collection of single and multi-period models using a combination of strategies such as Pull forward, Forward buying, Seasonal, Commitment and Opportunity buying. These systems and models use inputs from 100+ systems and consider factors such as demand and vendor lead time uncertainty, supply risk, vendor constraints, and the value of being in stock while adhering to network constraints. We are looking for a motivated leader that has solid industrial research experience and management skills in inventory planning, supply chain management or relevant areas. This individual will lead a research scientist team in Optimal Souring Systems where we are responsible for developing solutions to better manage/optimize worldwide inventory, while providing the best experience to our customers at the lowest possible cost. The research team is responsible for quantitative data analysis, building models and prototypes for inventory and supply chain systems, building state-of-the-art optimization algorithms. This team plays a significant role in the innovation pipeline from business needs, research work, prototyping/simulation, to implementation by working closely with a variety of colleagues in engineering, product management, operations, retail, finance, etc. Key job responsibilities Technical Responsibilities: -Interact with engineering, operations and business teams to develop an understanding and domain knowledge of operational processes, system structures, and business requirements. Apply domain knowledge and business judgment to identify opportunities and quantify impact. Come up with strategies with quantitative modeling and mathematical optimization to enhance existing and develop new inventory planning algorithms and strategies. Apply advanced mathematical and heuristic optimization techniques to design scalable, optimal or near-optimal solutions. Create prototypes to test devised solutions and leverage in-house simulation platforms for high-fidelity validation. Work closely with engineers to integrate the prototypes into production systems using standard software development tools and methodologies. Leadership Responsibilities: Mentor research scientist team members for their career development and growth Be data-driven, details driven and frequently audit the quality and scalability of solutions during the research process Be efficient in aligning research direction to business requirement and make the right judgment on research project prioritization Effectively advocate technical solutions to business stakeholders, engineering teams, as well as executive level decision makers Excel in evaluating the skill sets of candidates to make successful hiring decisions to meet business needs. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA
US, WA, Bellevue
Are you excited about developing generative AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for scientists, engineers and program managers for a variety of roles. To this end, we are looking for an Applied Scientist who will help us build next level optimization with the help of generative AI and LLMs. Together, we will be pushing beyond the state of the art in simulation and optimization of one of the most complex systems in the world: Amazon's Fulfillment Network. Key job responsibilities In this role, you will build large language and prediction models that are able to understand the state and future of our buildings, network and orders. You will work with vast real world structured and unstructured (and potentially multi modal) datasets to train very large models that will help us simulate a variety of processes across Amazon's fulfillment network. You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. You will work with and in a team of applied scientists. A day in the life 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 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! About the team Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it. The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA
US, WA, Bellevue
Amazon’s Supply Chain Optimization Technologies (SCOT) team is looking for talented Postdoctoral Scientists to join Amazon for a one-year, full-time research position. Postdoctoral Scientists will focus on solving research-intense business problems by exploring new research ideas, accelerating scientific innovation and impact, and publishing their work in peer-reviewed scientific venues. Postdocs will raise the scientific bar across Amazon by diving deep into exploratory areas of research to enhance the customer experience and improve efficiencies. SCOT owns Amazon’s global inventory planning systems. We decide what, when, where, and how much we should buy to meet Amazon’s business goals and to make our customers happy. We decide how to place and move inventory in Amazon network and what do with our current inventory. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars of world-wide. We decide how to make delivery promises to our customers and how to meet those promises. Our systems are built entirely in-house, and are on the cutting edge of automated large-scale planning, execution and simulation technology. In SCOT, we are simultaneously pushing the frontier of the science of planning for new and old business use-cases and solving some of the toughest computational challenges. We are responsible for studying, designing, and building systems to suit Amazon’s needs and do not rely on existing off-the-self planning solutions. Our team members are on the forefront of thought leadership by working on the most challenging problems in the industry with some of the best minds in the business and academia. The ideal candidate has solid research experience broadly in the domain of mathematical sciences (operations research, statistics, ML, economics) or other closely related areas. Key job responsibilities * Engage key business stakeholders and scientists to surface opportunities for improvement and identify business requirements. Work closely with peripheral teams to develop solutions to ambiguous business problems and integrate novel methodology into our team and business. * 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. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | New York, NY, USA