Customer-obsessed science

Behind Amazon's working backwards approach
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Amazon engages with the science community in a number of ways.
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CN, 11, Beijing
Are you a Big Data/Machine Learning/AI specialist? Do you have machine learning, deep learning or algorithm experience? Do you like to solve the most complex and high scale (billion + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of intelligent cloud technologies? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our architects will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These experts’ engagements will focus on customer solutions such as growth hacking, AIOPS, spatiotemporal analytic, image recognition, nature language processing and other predictions. This role will specifically focus on machine learning/big data analytic capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. You'll work closely with AWS Field Teams including Solution Architects, Technical Account Managers, and AWS Service Developers to partner with customers to solve hard problems with intelligence. Every day, you'll be working with Customers to determine the optimal implementation, build it, prove it works, and technical assets to enable the customer’s intelligence journey. If you are builder, and love data/AI, then this could be your ideal job! We are looking for someone who is passionate about: · Expertise - Collaborate with AWS field sales, pre-sales, services teams, training and support teams to help partners and customers learn and use AWS services in Analytics and Machine Learning area. · Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Machine Learning service offerings. · Entablements - Engagements include short on-site projects proving the use of AWS services to support new Machine Learning solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. · Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the Great China Region as well as worldwide AWS solution architect community · Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Machine Learning / Analytic / Big Data cloud computing. This role is a senior role in the Solutions Architecture organization at AWS. This role provides a unique opportunity to lead innovations and transformational change with large Enterprise customers in their journey to cloud. About the team Amazon is striving to be the Earth’s Best Employer, providing thoughtful employee benefits apart from standard offerings: • Family friendly policies and benefits, such as enhanced parental leave • Mother’s room facilities • Robust Learning programs designed from functional/technical skills and soft skills to nurture employees’ personal growth etc. We aim to create a safer and considerate environment to nurture productive high performing teams to work hard, have fun and make history. CULTURE AND COMMITMENT TO INCLUSION, DIVERSITY & EQUITY Here at AWS, we welcome all builders. We believe that technology should be built in a way that’s inclusive, accessible, and equitable. We’re committed to putting in the work for more equal representation Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. We are open to hiring candidates to work out of one of the following locations: Beijing, 11, CHN | Shanghai, CHN | Shenzhen, CHN
CA, ON, Toronto
Amazon is investing heavily in building a world-class advertising business. 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. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit 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. The Sponsor Products Detail page sourcing is responsible for ad matching and relevance for detail pages. We're looking for an Applied Science Manager to lead a team of scientists and engineers in building production ML and optimization solutions at scale. We determine what ads to show in various detail page contexts for optimal shopper experience. This helps shoppers discover new products while helping advertisers put their products in front of the right customers, aligning shoppers’, advertisers’, and Amazon’s interests. To do this, we apply recommendation and retrieval techniques including collaborative filtering, personalized matching, deep learning, search based technologies, and more recently exploring LLM based approaches. You’ll own the experimentation systems, models, and online model serving infrastructure to support these solutions. It’s a very impactful role that ties to Sponsored products performance in detail page. We're growing at an unprecedented rate with a seemingly endless range of new opportunities. This is a unique opportunity for someone who wants to have broad business impact, dive deep into large-scale ML problems, scale scientific solutions that optimize ads across detail page, and lead a cross-functional team. If you are interested in machine learning, deep learning, NLP and LLM, large-scale, low-latency distributed systems, and leading a team to build these solutions, this role is for you. Key job responsibilities As a hands-on Applied Science Manager, you will: * Lead a team of scientists and engineers in building scalable machine learning solutions. * Develop a vision for ads matching and relevance measurement and improvement in Amazon Detail page. * Create, develop, and drive a data-driven product strategy to define the right quantitative measures of shopper impact, using this to evaluate decisions and opportunities. * Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon. * Own a portfolio of pragmatic long-term investments that drive long-term growth of the ads and retail businesses. * Develop scientists and ML engineers around machine learning, economics, and optimization for WW Advertising. We are open to hiring candidates to work out of one of the following locations: Toronto, ON, CAN
US, WA, Redmond
Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world. Key job responsibilities * Solve large scale and complex optimization problems for operating and planning satellite constellations * Work with our peer teams and customers to design suitable software systems to fulfill the mission needs. * Write code for production cloud native software systems in Java and Python. * Utilize AWS and other Amazon technologies to build high-available software services. * Help on-board and mentor new team members. * Lead technical roadmap definition efforts and decide what software services to build. Export Control Requirement Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. A day in the life You will be focused on contributing to the design and analysis of software systems responsible across a broad range of areas required for automated management and planning of the Kuiper constellation. You will use mathematical modeling, optimization algorithms, state and capacity estimation, space systems, and software engineering to drive the solution of a variety of problems to enable space operations at an unprecedented scale. You will develop features for systems to interface with internal and external teams, predict and plan communication opportunities, manage satellite orbits determination and prediction systems, develop analysis and infrastructure to monitor and support systems performance. About the team In Project Kuiper, we believe that our differences makes us stronger. We are committed to Amazon’s culture of inclusion ingrained in our Leadership Principles, which encourages team members to seek diverse perspectives, learn and be curious, and earn trust. We want to foster a culture of collaboration, delivering results and work/life balance. We are open to hiring candidates to work out of one of the following locations: Redmond, WA, USA
US, CA, Santa Clara
AWS AI/ML is looking for world class scientists and engineers to join its AI Research and Education group working on foundation models, large-scale representation learning, and distributed learning methods and systems. At AWS AI/ML you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists. Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas: * Hardware-informed efficient model architecture, training objective and curriculum design * Distributed training, accelerated optimization methods * Continual learning, multi-task/meta learning * Reasoning, interactive learning, reinforcement learning * Robustness, privacy, model watermarking * Model compression, distillation, pruning, sparsification, quantization About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. We are open to hiring candidates to work out of one of the following locations: Santa Clara, CA, USA
CN, Beijing
Are you excited by the disruptive potential of cutting-edge technology in the cloud? Do you want to deliver solutions to benefit our customers based on Generative AI (GenAI)? Amazon Web Services (AWS) is looking for an outstanding applied scientist in Great China Region (GCR). The candidate will work in GCR Solution Center to build challenging GenAI solutions for Chinese customers. The candidate will explore state of the art machine learning algorithms, targeting for delivering engineering solutions. You will follow the concept of the solution as product that your delivery is under certain engineering requirements. You will interact closely with our customers and gain hands on experience building models to tame large amount of data. We welcome candidates from diverse technologies: computer vision, natural language processing, operating research and so on. Talents with actual landing experience are preferred. Key job responsibilities You are expected to work closely with GCR solution builders and GCR Solution Architects in customer projects, to provide in-depth algorithm implementation capabilities, to lead customer innovation through GenAI engineering projects. You will: • Participate the solution definition, including design scope, roadmap, engineering plan and so on • Provide proof-of-concept and deliver cutting-edge AI/ML technologies in customer real projects • Dive deep the advanced algorithms as the start point for solutions to solve the customers’ challenging problems • Become an activate member of solution engineering team to gain rich hands-on experience • Conduct effective internal/external enablement for high profile technology topics, like the combination of AI/ML About the team The Greater China Solutions Research and Development Center (CSDC), is an important development resource for the AWS China team. Our main work is to continue to develop and launch reusable, proven, and easy-to-deploy solutions to help customers deploy workloads on AWS faster and fully realize the value of the cloud. To this end, we collect business requirements from customers and partners, and provide corresponding solutions for the common challenges faced by multiple customers in specific scenarios, so as to avoid customers from investing resources to re-create wheels. About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. We are open to hiring candidates to work out of one of the following locations: Beijing, CHN | Shanghai, CHN
US, CA, Palo Alto
Amazon is the 4th most popular site in the US. Our product search engine is one of the most heavily used services in the world, indexes billions of products, and serves hundreds of millions of customers world-wide. We are working on a new AI-first initiative to re-architect and reinvent the way we do search through the use of extremely large scale next-generation deep learning techniques. Our goal is to make step function improvements in the use of advanced Machine Learning (ML) on very large scale datasets, specifically through the use of aggressive systems engineering and hardware accelerators. This is a rare opportunity to develop cutting edge ML solutions and apply them to a problem of this magnitude. Some exciting questions that we expect to answer over the next few years include: Can combining supervised multi-task training with unsupervised training help us to improve model accuracy? Can we transfer our knowledge of the customer to every language and every locale ? Can a focus on compilers and custom hardware help us accelerate model training and reduce hardware costs? This is a unique opportunity to get in on the ground floor, shape, and build the next-generation of Amazon Search. We are looking for exceptional scientists and ML engineers who are passionate about innovation and impact, and want to work in a team with a startup culture within a larger organization. We work on using large language model to re-invent how do we design and implement applications for customer shopping experience, such as search and ads. We are open to hiring candidates to work out of one of the following locations: Palo Alto, CA, USA
US, DC, Washington
The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We are looking for a Senior Economics Manager who is able to provide structure around complex business problems, hone those complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with various science, engineering, operations, and analytics teams to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. They will lead teams of researchers to produce robust, objective research results and insights which can be communicated to a broad audience inside and outside of Amazon. Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. They will work well in a team setting with individuals from diverse disciplines and backgrounds. They will serve as an ambassador for science and a scientific resource for business teams, so that scientific processes permeate throughout the HR organization to the benefit of Amazonians and Amazon. Ideal candidates will own the development of scientific models and manage the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will be customer-centric – clearly communicating scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions. We are open to hiring candidates to work out of one of the following locations: Washington, DC, USA
US, CA, Sunnyvale
“Find a coffee shop between here and San Francisco,” “How much longer is Target on main street open?,” “What is the next train to work,” “I need directions to the nearest gas station;” these are some of the utterances answered by the Alexa Local Information team. We enable customers to search for places, products, or services around them, and provide personalized travel, commute and navigation experiences to the places they find. Our science team works at the intersection of ASR, NLU, Information Retrieval, Machine Learning and Big Data. We leverage techniques from all these fields to create novel algorithms that advance the state of the art in spoken language understanding and improve search quality for local Points of Interest (POI’s). Our work directly impacts the experience and engagement of customers who rely on Alexa to find relevant locations while in-the-car, on-the-go and at-home. In this role you will: - Perform hands-on data analysis and modeling with large data sets to develop insights that increase device usage and customer experience - Apply Machine Learning and SLU techniques to improve our conversational interfaces and search algorithms - Run A/B experiments, evaluate the impact of your optimizations and communicate your results to various business stakeholders - Work closely with product managers and software engineers to design experiments and implement end-to-end solutions - Setup and monitor alarms to detect anomalous data patterns and perform root cause analyses to explain and address them - Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences - You will mentor fellow scientists in the team - Help attract and recruit technical talent We are open to hiring candidates to work out of one of the following locations: Sunnyvale, CA, USA
US, WA, Seattle
Our organization’s vision is to use science to automate forecasting, allocation, pricing and purchasing decisions for the Devices business. We build science and technology to create Hands Off the Wheel systems that automate pricing and promotions, creating operating and financial efficiencies for Amazon Devices. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We are looking for an experienced science leader to tackle complex and ambiguous pricing optimization problems that span numerous systems and organizations across the Devices business (Echo Device Family, FireTV, eReaders, Tablets etc.). They will work with senior scientists across the organization to define the strategy and requirements to build pricing and promotion optimization services. This includes designing, coordinating, and executing solutions that scale globally. Key job responsibilities As a Research Scientist, you will be responsible for large scale price optimization deliveries that have significant impact on the Devices business. You will partner with product, science and engineering leadership to identify opportunities to drive efficient growth for Devices through science-based pricing optimization and scalable execution. You will not only be responsible for designing systems that span across the organization but have ownership in critical path delivery. A portion of your time will be responsible for defining best practices within our organization, mentoring other scientists and partnering with engineering to enhance mechanisms between the two disciplines. A deep understanding of optimization and solvers such as xpress, ilog, OSL, gurobi, etc. is required. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
US, WA, Seattle
Are you interested in working with top talents in Optimization, Operations Research and Supply Chain to help the World No. 1 online retailer, Amazon, to efficiently match our Devices with worldwide customers? We have challenging problems and need your innovative solutions to make tremendous financial impacts! The Devices Optimizations Science (DOS) Science Team in the Amazon Demand Science Optimization (DSO) org is looking for an Applied Scientist with background in Operations Research, Optimization, Supply Chain and/or Simulation to support science efforts to integrate across inventory management functionalities. Our team is responsible for science models (both deterministic and stochastic) that power world-wide inventory allocation for Amazon Devices business that includes Echo, Kindle, Fire Tablets, Amazon TVs, Amazon Fire TV sticks, Ring, and other smart home devices. We formulate and solve challenging large-scale financially-based optimization problems which ingest demand forecasts and produce optimal procurement, production, distribution, and inventory management plans. In addition, we also work closely with the demand forecasting, material procurement, production planning, finance, and logistics teams to co-optimize the inventory management and supply chain for Amazon Devices given operational constraints. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, and ability to work in a fast-paced and ever-changing environment and a desire to help shape the overall business. Key job responsibilities · Design and develop advanced mathematical, simulation, and optimization models and apply them to define strategic and tactical needs and drive appropriate business and technical solutions in the areas of inventory management and distribution, network flow, supply chain optimization, and demand planning. · Apply mathematical optimization techniques (linear, quadratic, SOCP, robust, stochastic, dynamic, mixed-integer programming, network flows, nonlinear, nonconvex programming) and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software. · Research, prototype and experiment with these models by using modeling languages such as Python; participate in the production level deployment. · Create, enhance, and maintain technical documentation, and present to other Scientists, Product, and Engineering teams. · Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans. · Influence organization's long-term roadmap and resourcing, onboard new technologies onto Science team's toolbox, mentor other Scientists. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA