Seattle

Do you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that revolutionize how businesses operate?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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.Region Services Corporate Infrastructure (RSCI) is looking for an experienced Senior Windows Client Systems Engineer with a deep knowledge of Windows desktop services, including virtual desktops and infrastructure. Our mission is to deliver robust, highly available, and easy to use services to our internal customers in support of the Amazon Dedicated Cloud (ADC) for U.S. Government customers. We are looking for a motivated engineer to deliver results for our customers. This is a hands-on position where your daily role will maintain and enhance existing services, including Windows build / deployment capabilities, fulfilling requests for application packaging / deployment and break / fix scenarios for all technologies the team manages. This role will work closely with the Security Compliance team to ensure security compliance with all desktop environments.You will have a strong and diverse technical background that allows you to approach problems with confidence and ingenuity. You must be a “lifelong learner”, embracing the rapid innovations in technology and understanding how to leverage them to continue to improve our products. A successful Windows Client Engineer will drive the design and implementation of new services, find ways to improve and automate our existing services, and provide escalation and mentoring for junior team members. If Arlington HQ (HQ2):This role will sit in our new headquarters in Northern Virginia, where Amazon will invest $2.5 billion dollars, occupy 4 million square feet of energy efficient office space, and create at least 25,000 new full-time jobs. Our employees and the neighboring community will also benefit from the associated investments from the Commonwealth including infrastructure updates, public transportation improvements, and new access to Reagan National Airport.By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.10012Key job responsibilitiesThis role oversees deployment, configuration, and management of core ADC services, including directory services, file and print, DNS/DHCP, application servers and management of server hardware and infrastructure.In the first six to twelve months you will:- Adapt and improve operations management systems and processes to accommodate rapid and increasing growth in systems and traffic- Drive expedient resolution and root cause analysis for critical issues affecting your services- Mentor and develop a team of Operational Engineers with an emphasis on providing dial tone services- Bring continuous improvement to operational processes- Balance raw up-front dollar cost with usability, operability and TCO, both in datacenters and on-site services- Lead the development and delivery of state of the art system health monitoring, diagnostics, repair, and other self-healing automation- Develop automation tools and processes that reduce manual effort and increase overall efficiency- Innovate and drive improvements in monitoring and visualization of system health, status of maintenance tasks, and reporting systems A day in the lifeDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred 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. About 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. About the teamThis is a hands-on position where your daily role will maintain and enhance existing services, including Windows build / deployment capabilities, fulfilling requests for application packaging / deployment and break / fix scenarios for all technologies the team manages. This role will work closely with the Security Compliance team to ensure security compliance with all desktop environments. Drive the design and implementation of new services, find ways to improve and automate our existing services, and provide escalation and mentoring for junior team members. BASIC QUALIFICATIONS- Associate's degree, or Cloud+ or GICSP (Global Industrial Cyber Security Professional) or GSEC (GIAC Security Essentials) or SSCP (Systems Security Certified Practitioner)- Eight (8+) years supporting Windows family of operating systems to include four (4) of the following eight (8) core competencies: AD, DHCP, PowerShell, Email workflow, SCCM, SCOM, Win OS, DNS, and disaster recovery/business continuity- 3+ years' experience in automation / scripting in the Windows environment using PowerShell- Defined Knowledge of networking basic skills and troubleshooting- Experience automating tasks such as, software packaging and deployment, automated security patching, and Operating System Deployment.- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

AWS Elastic Compute Cloud (EC2) Capacity Org is looking for an experienced applied optimization expert. This leader will join the Optimization Science Team to design, implement, and scale decision-making algorithms to manage EC2’s virtual and physical capacity systems.EC2 Capacity owns EC2’s top-level customer satisfaction metric capacity availability and the forecasting & decision-making systems which drive significant capex investments in server ordering for AWS data centers. Optimization Science is a core team involved in the end-to-end design and implementation of various decision-making systems, which manage the trade-off between capex and capacity availability while matching demand and supply at different planning horizons. The stakeholders and partners include engineering and product management orgs within EC2 as well as the AWS Infrastructure Supply Chain (AIS) organization.We are seeking an expert with a strong background in mathematical optimization with excellent modeling skills, and expertise in the numerical solution of continuous and discrete problems using exact and and heuristic methods applied to very large-scale problems. Experience with decision-making under uncertainty; e.g., robust or stochastic optimization is an advantage. The candidate will apply their knowledge to match the end-customer demand for virtual machines to physical resource supply at horizons ranging from five minutes to 13 years. The variety of problems requires principled mathematical decomposition and a good interface design between inputs and outputs at various horizons. Navigating the ambiguity of design choices across horizons is a critical component of the role. In a typical project, we analyze large volumes of data, and then develop a prescriptive optimization model with inputs from ML or statistical models and business users. Our solution approaches are validated through simulations and / or production A/B tests. Being successful requires having the scientific breadth to understand the interactions between different phases of a project from data analysis through to production, including resolving issues after rollout.As a Senior Applied Scientist on the EC2 Optimization Science team, you are critical to the speed and excellence of the end-to-end deliveries of production systems with optimization-based analytical engines. You will be hands-on with the mathematical modeling and implementation, and will also contribute to the design of the engineering system with the scalability, extensibility, maintainability, and correctness of the optimization engine in mind. You will review approaches by other scientists and engineers in terms of business relevance, technical validity, engineering / science interface, and computational performance. You will mentor and lead junior scientists by example. Communicating your results to guide the direction of the business and working with software development teams to implement your ideas in code is key to success. You will write technical, and less frequently, business documents that influence engineering investments and business direction. Collaborating with other scientists, software engineers, and product managers, you will develop creative, novel, and data-driven approaches to improve our existing cloud compute offerings and define new ones in a fast-paced and quickly changing environment, improving the experience of our customers and impacting the bottom line of EC2.**Basic Qualifications**- PhD in Operations Research, Applied Mathematics, Computer Science, Statistics, or a related field. A PhD can be replaced by a master's degree in the same fields and four years of relevant academic and / or industry research experience.- At least 3 years of academic and / or industry experience after the PhD degree in solving large-scale optimization problems.- Track record of delivering analytical solutions with business impact.- In-depth knowledge of exact, approximation algorithms, and heuristic methods for solving difficult optimization problems like resource allocation, vehicle routing, network design.- In-depth knowledge of continuous and discrete optimization methods accompanied by associated expertise in the use of tools and the latest technology (e.g. CPLEX, Gurobi, XPRESS).- Ability to implement models and tools through the use of high-level modeling languages (e.g., AMPL, Mosel, R, Matlab).- Experience in prototyping and developing software in traditional programming languages (e.g., C++, Java, Python, Julia) using mathematical solver interfaces.- Familiarity with SQL and experience with very large-scale data. The ability to manipulate data by writing scripts (Python, Perl, Ruby) is a plus.- Good writing skills to document the models and analyses and for presenting business cases with results/conclusions in order to influence important decisions.**Preferred Qualifications**These are not required, but are a plus:- Knowledge and experience in statistical analysis and machine learning.- Publications in refereed academic journals.- Previous work in cloud computing.BASIC QUALIFICATIONS- PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or Master's degree and 7+ years of building machine learning models or developing algorithms for business application experience ...

** This position is open to all candidates in Seattle, WA, NYC and Arlington, VA **Amazon Ads Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems.Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities. We are looking for a talented Machine Learning Applied Scientist for our Amazon Ads Response Prediction team to grow the business. We are providing advanced real-time machine learning services to connect shoppers with right ads on all platforms and surfaces worldwide. Through the deep understanding of both shoppers and products, we help shoppers discover new products they love, be the most efficient way for advertisers to meet their customers, and helps Amazon continuously innovate on behalf of all customers.Key job responsibilitiesAs a Machine Learning Applied Scientist, you will:* Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities * Develop scalable and effective machine-learning models and optimization strategies to solve business problems * Run regular A/B experiments, gather data, and perform statistical analysis* Work closely with software engineers to deliver end-to-end solutions into production * Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving * Conduct research on new machine-learning modeling to optimize all aspects of Sponsored Products businessAbout the teamWe are pioneers in applying advanced machine learning and generative AI algorithms in Sponsored Products business. We empower every customer with a customized discovery experiences from back-end optimization (such as customized response prediction models) to front-end CX innovation (such as widgets), to help shoppers feel understood and shop efficiently on and off Amazon.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Exciting opportunity to design, build and deploy the next generation of attribution models to provide advertisers with actionable information that will allow them to optimally allocate advertising dollars. BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Knowledge of programming languages such as C/C++, Python, Java or Perl- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

When customers search for products on the Amazon website, they often see brand advertisements displayed right below the search bar. These ads are part of the Sponsored Brands (SB) program. Our team, the SB Search and Relevance team, works on solving challenges to retrieve the most relevant ads for a customer's search query. A customer's search query is typically a short, free-form text consisting of just a few words. Our algorithm needs to understand the customer's underlying intention from this limited information. At the same time, each advertisement consists of various elements like text descriptions, images, videos, and more. Our algorithm also needs to comprehend the content of these ads and identify the most relevant one from the large pool of ad candidates.As Amazon's advertising business is growing rapidly, we are looking for experienced applied scientists. As an Applied Scientist on this team, you will:- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Apply deep learning and natural language processing to improve information retrieval and relevance.- Design and run A/B experiments. Evaluate the impact of your optimizations and communicate your results to various business stakeholders.- Optimize deep learning inference latency by utilizing methods like knowledge distillation.- Work with software development engineers and write code to bring models into production.- Recruit Applied Scientists to the team and provide mentorship.Impact and Career Growth- You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon!- Define a long-term science vision for our advertising business, driven fundamentally from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams.This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

We are seeking an entrepreneurial, innovative and self-driven Senior Applied Scientist to join our team, and help build a brand new Advertising product together. Your mission will be to leverage science and technology to help hundreds of thousands of independent sellers grow their business on WW Amazon marketplaces attracting new customers while also building customer loyalty. You will use ML modeling to build predictive modeling solutions to help brand owners connect with potential shoppers on Amazon websites and video channels (IMDB, FireTV, Twitch, Amazon.com etc). You can change the life of local business owners while taking ownership to solve technical challenge from delivering millions of global advertising campaigns and generating brand insights and recommendations for all our advertisers with superfast response time. The Sponsored Brands Advertiser Control team is a versatile environment, with a wide variety of challenges. We guide advertisers to make informed decisions by recommendations, sharing insights, and forecasts. We help advertisers deliver effective campaigns automatically by optimizing campaign settings on behalf of them. We enable advertisers to achieve brand advertising goals with maximum efficiency. We have the opportunity to deliver social impact, own technical problems, thought diversity, and business impact. As an Applied Scientist on this team, you will: - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.- Run A/B experiments, gather data, and perform statistical analysis.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Research new and innovative machine learning approaches.- Recruit Applied Scientists to the team and provide mentorship.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

The Artificial General Intelligence (AGI) Information team is looking for a passionate, and talented Senior Applied Scientist with a strong experience in cutting-edge LLM technologies. In this role, you will innovate in the fastest-moving fields of current AI research, in particular in how to integrate a broad range of structured and unstructured information into AI systems (e.g. with RAG techniques), and you will get to immediately apply your results in highly visible Amazon products.If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience working in high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions.Key job responsibilities- Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI).- Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs.- Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions. About the teamIt's an exciting time to be a leader in AI research. In Amazon's AGI Information team, you can make your mark by improving information-driven experiences of Amazon customers worldwide. Your work will directly impact our customers in the form of products and services that make use of language and multimodal technology!BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

The Smart Home team is focused on making Alexa the user interface for the home. From the simplest voice commands (turn on the lights, turn down the heat) to use cases spanning home security, home entertainment, and the home environment, we are evolving Alexa into intelligent, indispensable companion that automates daily routines, simplifies interaction with appliances and electronics, and alerts when something unusual is detected. You will be part of a team delivering features that are highly anticipated by media and well received by our customers.As a Senior Applied Scientist, you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. Key job responsibilitiesDeveloping new inference and training techniques to improve the performance of Large Language Models for Smart Home control and Automation.Developing robust techniques for synthetic data generation for training large models and maintaining model generalization.Mentoring junior scientists to improve their skills, knowledge, and their ability to get things done.About the teamWe are a team of Scientists, Machine Learning Engineers, and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence - with features like Alexa Hunches that automatically control Smart Home devices.We are interdisciplinary and we act like it -- we ask each other questions and value our different perspectives.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. 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.This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our cross-functional team focuses on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leading-edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi-turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields.We are seeking a science leader for our team within Sponsored Products & Brands organization. You'll be working with talented scientists, engineers, and technical program managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements, working with various partner teams and SDEs and have experience in Natural Language Processing, Ads recommendation systems, information/evidence retrieval and/or LLM prompt engineering. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!We are open to hiring candidates to work out of one of the following locations:Seattle, WA and New-York, NYKey job responsibilities- Serve as the Science lead in defining the Science charter for the team (for an entirely new space using LLMs) & leading other AS on the team- Build POCs, experiment, optimize and deploy models into production- Partner with other Science teams within the org to deliver features for a net new shopper experience - Run experiments/weblabs and be able to perform statistical analysis- Mentor other scientists on the team- Partnering with Principal PMT and SDM to influence the Product strategyNice to have - Experience in Ads recommendations & information / evidence retrieval - Experience working with Large Language Models & Prompt EngineeringBASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

"We see our customers as invited guests to a party, and we are the hosts. It's our job every day to make every important aspect of the customer experience a little bit better." - Jeff Bezos, Founder & CEO.We didn’t make Amazon a trillion-dollar company, our customers did and we want to ensure that our customers always have a positive experience that keeps them coming back to Amazon. To help achieve this, the Worldwide Defect Elimination (WWDE) team, within Amazon Customer Service, relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE scientists solve complex problems and build scalable solutions to eliminate systemic defects and prevent future issues.As a Sr. Applied Scientist, your role is pivotal in leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques to address customer issues at scale. You'll lead the development of innovative solutions that detect and organize issues, identify root causes, and route them to resolving teams across the company. You will leverage a spectrum of scientific techniques across both classical ML and Natural Language Processing/Generative AI (NLP/GenAI) to comb over our billions of customer interactions (using a combination of media). In this role, you will collaborate with cross-functional teams (Product, Engineering, Program) and contribute to advancing the state of defect elimination research. Key job responsibilities- Deliver solutions to the core business problems and influencing business partners- Research and develop modeling techniques for NLP, DL, and ML- Establish scientific culture and standards for all the scientists (publication, best practices, reviews, etc.)- Develop scientific talent on the teamA day in the lifeAmazon 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:* Medical, Dental, and Vision Coverage* Maternity and Parental Leave Options* Paid Time Off (PTO)* 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 applyBASIC QUALIFICATIONS- Master's degree in computer science, machine learning, statistics, mathematics or equivalent quantitative field- 5+ years of building deep learning or machine learning models for business application experience- Deep knowledge in one or more areas of machine learning or deep learning- Proficient with common ML and DL frameworks such as PyTorch- Experience programming in Java, Python or related language ...

About Amazon HealthAmazon Health’s mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we (Health Storefront and Shared Tech) are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.Job summaryWe are seeking an exceptional Senior Applied Scientist to join a team of experts in the field of Health Economics and Health Outcomes Research to work together to break new ground in the world of healthcare to make personalized and empathetic care accessible, convenient, and cost-effective. You will build and deploy state-of-the-art ML models for individual customer and population-level outcomes. You will work with clinical, product, and finance partners to test and deploy models to develop new product offerings and recommend solutions to address customer health care needs. You will work in a highly collaborative environment where you can pursue both near-term productization opportunities to make immediate, meaningful customer impacts while pursuing ambitious, long-term research. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. You will get the opportunity to pursue work that makes people's lives better and pushes the envelop of science. #everydaybetterKey job responsibilities- Translate Product, Finance and Clinical business and healthcare problems into scientific questions - Build and leverage data pipelines for training and evaluating ML models- Design, implement, and optimize the best-in-class machine learning solutions for forecasting and behavior change- Design and conduct live experiments to validate model performance- Deploy ML solutions into existing and new customer-facing systems and business processesA day in the lifeIn a fast-paced innovation environment, you work closely with product, finance, and clinical teams to understand customer's and business challenges. You translate product and business requirements into science problems. You dive deep into challenging science problems, access and analyze data, and enabling new ML solutions to impact customer experiences. You identify hypothesis and conduct rapid prototyping to learn quickly. You develop and deploy models at scale to pursue productizations. You mentor junior science team members and help influence our org in scientific best practices.About the teamWe are the Health Measurement Science team at HST (Health Store and Technology). The team consists of Scientists and Economists with experience in varied industries, including health care. We are committed to building and deploying the most advanced scientific capabilities and solutions for the products and services at Amazon Health.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 6+ years of building machine learning models for business application experience- Knowledge of programming languages such as C/C++, Python, Java or Perl ...

As a Senior Applied Scientist at Amazon, you will be at the forefront of a pioneering initiative to revolutionize customer experiences using Large Language Models (LLMs) and recommender systems. Your expertise will drive the personalization of every interaction across Amazon’s vast ecosystem, ensuring that each message and recommendation resonates personally with our customers.Your mission will be to harness the latest in LLM and machine learning innovations to craft recommender systems that are not just smart, but seem intuitively human. This is more than a technical role—it’s a chance to shape the future of e-commerce by making every user feel like Amazon’s most important customer.If you’re a visionary in the field of applied science, passionate about leveraging LLMs to create impactful, individualized user experiences, we want you. Help us set a new standard for personalization at Amazon, where every interaction is a step towards a more personalized future.Key job responsibilities- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 4+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningA day in the lifeYou are an Applied Scientist with an interest in machine learning, data science, search, or recommendation systems. You have great problem solving skills. You love keeping abreast of the latest technology and use it to help you innovate. You have strong leadership qualities, great judgment, clear communication skills, and a track record of delivering great products. You enjoy working hard, having fun, and making history!About the teamOur team has the autonomy to decide where we can have the most impact and get down to experimenting. We love metrics and the fast pace. We analyze data to uncover potential opportunities, generate hypotheses, and test them. We refuse to accept constraints, internal or external, and have a strong bias for action. We imagine, build prototypes, validate ideas, and launch follow-up experiments from the successful ones. BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Do you want to create worldwide impact in robotics while solving challenges at the edge of robotics research? Our collaborative team in 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 create robots that perform contact-rich tasks safely, efficiently, and dexterously amid the complexity and variety of Amazon warehouses. Our solutions learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.We are seeking an experienced Senior Applied Scientist to join our Motion Planning and Control team. In this role, you will leverage your experience and insights gained from delivering systems to lead us in developing products that are both innovative and scalable. Collaborating with a world-class team of experts in motion planning, control theory, computer vision, machine learning, and robotic hardware design, you will apply the latest research trends to tackle complex real-world challenges. Together, we aim to achieve high-impact algorithmic advancements in areas such as scene and activity understanding, closed-loop control, robotic grasping, and manipulation in high-contact environments - each of which carries significant value for our current and future fulfillment networks. Key job responsibilities• Research, design, implement and evaluate complex motion planning, controls, and decision-making algorithms that improve the performance of systems deployed in real-world conditions.• Apply recent advances in topics such as planning optimization, model-based controllers, or grasp affordance learning to our systems in the lab and in the field.• Lead major initiatives, mentor more junior scientists, and raise the bar for applying science to scalable robotic products.• Work closely with software engineers to drive scalable, real-time implementations.• Collaborate with experts across disciplines including perception, hardware and software to create intelligent, integrated systems and solutions.• Represent Amazon in academia community through publications and scientific presentations.• Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation.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- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- 5+ years of relevant broad industry or academic applied research experience post PhD in developing algorithms for robotic motion planning, perception, control, and decision-making. ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to lead the development of industry-leading technology with multimodal systems. Key job responsibilitiesAs a Senior Applied Scientist with the AGI team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) in Computer Vision.About the teamThe AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- PhD, or Master's degree and 5+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language ...

Amazon Shopping Video (ASV) is a new strategic program in Advertisement that leverages the potential of video to help millions of customers find product inspiration through videos. ASV is seeking an exceptionally skilled and enthusiastic applied scientist to join the Amazon Live team. Our mission is to provide a delightful video experience to Amazon’s customers by pushing the envelope in Computer Vision, image processing and multimodal LLM. You will work collaborate closely with product managers and work alongside with other scientists to develop novel approaches, algorithms and modeling techniques to improve live streaming experience for our customers and influencers. You will conduct research in computer vision and natural language processing to develop new models and algorithms to solve for content personalization, image and video understanding, and recommendation systems. You will collaborate closely with the engineering teams to integrate the models into the production systems. About the teamASV's mission is to help millions of customers find product inspiration, learn more about products they are interested in, and interact with creators and their communities every day across the globe. We enable customers to find relevant content and explore our vast library of product-focused videos on our home experiences across desktop, mobile and FireTV, and throughout their shopping journey on Amazon. We are very much a startup within Amazon aiming to reinvent the way customers use video to shop, and we are looking for motivated, thoughtful self-starters who can partner effectively across our multi-disciplinary teams to drive innovation.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

The AWS Marketplace & Partner Services Science team is hiring an Applied Scientist to develop state-of-the-art recommendations systems, Conversational AI agents, and personalization capabilities within AWS Marketplace. This role will revolutionize discovery of solutions that accelerate customer cloud migrations for our customers, bringing personalization to AWS customers. The ideal candidate is comfortable leading production level recommendations strategies, implementing agent based conversationalAI experience, and mentoring other scientists on the team. You able to evaluate feasibility of scientific approaches and influence business leaders to develop the best experience for our customers. You thrive in a collaborative environment, where mentorship, learning, and teamwork is critical. Key job responsibilities- Work with customers, product managers, scientists, and engineers to deliver production level recommendation experiences- Ability to write production level code and support requirements for MLOps/LLMOps- Mentor Scientists on the team, and guide scientific approach across the organizationAbout the teamThe AWS Marketplace & Partner Services Science team supports science models and recommendations that are deployed directly to AWS Customers (via AWS Marketplace), to our partners (via Partner Central), and to our internal AWS Sellers. Our mission is to accelerate cloud migrations and modernizations, supporting AWS customers to innovate, and the growth of our AWS Partners.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 3+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Are you excited to prototype and launch customer-facing sustainability products? Do you have experience delivering data-driven sustainability solutions at scale? The AWS Infrastructure Sustainability Tech team is seeking a passionate, results-oriented Sr. Applied Scientist to contribute to the research, prototyping, and delivery of customer-facing sustainability products. The AWS Infrastructure Sustainability Tech organization builds solutions to integrate sustainability data across AWS infrastructure and operations and support AWS customer’s sustainability goals, AWS’ progress towards net zero carbon goal, renewable energy management, and other cross-cutting sustainability objectives. A successful candidate will have high influence across teams and sustainability stakeholders to make strategic trade-offs between short term opportunities and long term customer and industry trends. You will partner with AWS service, infrastructure (data centers), and Sustainability stakeholders to build AWS Sustainability products and influence partner teams. The role requires excellent communication skills to drive consensus across stakeholders, as well as the ability to thrive in ambiguous problem spaces. You'll partner with various AWS teams to build sustainability products and influence strategic decisions. This high-impact position offers visibility at the highest levels of AWS leadership and the chance to make a significant contribution to our sustainability efforts. If you're passionate about leveraging science and technology to enable a low-carbon future and are ready to tackle real-world problems without ready-made solutions, we encourage you to apply and join our team of world-leading experts in shaping the future of sustainable cloud computing.Additionally, excellent communication, stakeholder management, and problem-solving skills are essential, as is the ability to translate complex sustainability and energy data into customer-facing products. With visibility at the highest levels of AWS leadership, this is an opportunity to make a lasting mark on our sustainability efforts and help unlock the full potential of the AWS Cloud to enable a low-carbon future. If you are a seasoned applied scientist professional excited to drive transformative change, we encourage you to apply.Key job responsibilities- Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.- Collaborate with scientists, engineers, product managers, and stakeholders to design and implement software solutions for science problems- Lead the early investigative / inception phase of strategic sustainability initiatives and effectively influence, negotiate, and communicate with stakeholders to enable hand off of those projects for implementation.-Able to move quickly to building prototypes to unblock core use cases across domains. About the team*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.*Diverse Experiences*Amazon values diverse experiences. Even if you do not meet all of the preferred 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.*Work/Life Balance*We 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.*Inclusive Team Culture*Here 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 and Career Growth*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- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 5+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience in applied research- Experience in building machine learning models for business application ...

The Campaign Measurement & Optimization (CMO) organization is looking for a Senior Applied Scientist interested in solving one of the most challenging business problems in marketing measurement and optimization, a thought leader with deep expertise in ML modeling, and scaling measurement science. Working with our team of data / research / applied scientists, economists, engineers, and product managers, this leader will help redefine marketing investment decision making at Amazon and its subsidiaries.The Campaign Measurement & Optimization (CMO) organization’s mission is to be the most trusted source of measurement science solutions to drive marketing investment decisions across Amazon. The CMO team provides incrementality and efficiency measurement services to the marketing stakeholders across Amazon’s lines of business, including Stores, Prime Video, Amazon Devices, Alexa, Amazon Business, Amazon Music, Amazon Fresh, as well as subsidiaries including Audible, Ring, Whole Foods, and more. CMO applies industry leading deep learning based causal inference models to measure omni-channel effectiveness of marketing campaigns from these businesses worldwide. The impact and influence of the organization is tremendous, helping optimize spend decisions on a scale that exceeds many countries’ GDP. Our outputs shape Amazon product and marketing teams’ decisions and therefore how Amazon customers see, use, and value their experience with Amazon.This is a high-impact role with opportunities to develop systems and analyze marketing effectiveness that contributes billions of dollars to the business. As a Senior Scientist in the team, you will be responsible for designing and developing cutting edge measurement and optimization models, while collaborating with businesses, marketers, and software teams to solve key challenges facing the teams. Such challenges include measuring the incremental impact of multi-billion $$ multi-channel marketing portfolios, developing Deep Learning models for estimating the impact on sparse customer actions, and scaling measurement solutions for WW marketplaces. Unlike many companies who buy existing off-the-shelf marketing measurement systems, we are responsible for studying, designing, and building systems to serve Amazon’s suite of businesses. Our team members have an opportunity to be on the forefront of marketing measurement thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, research scientists, economists and software developers in the business.In this role, you will be a technical leader in Marketing science research with significant scope, impact, and high visibility. You will champion cutting edge ML models using the latest methods in causal estimation and portfolio optimization. You will lead strategic measurement science initiatives in CMO and across various marketing teams, scaling experimentation and measurement science models, real-time inference, and cross-channel orchestration. As a successful scientist, you are an analytical problem solver who enjoys diving into data, leads development of new models, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in employing deep learning models to solve business problems, preferably in causal inference. You are a hands-on innovator who can contribute to advancing Marketing measurement technology in a B2C and B2B environment, and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will coach and guide junior scientists to grow the team’s talent and scale the impact of your work.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Amazon’s eCommerce Foundation (eCF) organization provides the core technologies that drive and power Amazon's Stores, Digital, and Other (SDO) businesses. Millions of customer page views and orders per day are enabled by the systems eCF builds from the ground up. CloudTune, within eCF, empowers growth and business agility needs by automatically and efficiently managing AWS capacity and business processes needed to safely meet Amazon’s customer demand. CloudTune serves its primary customers, internal software teams, through forecast driven automation of cost controllership, capacity management and scaling. We predict expected load, and drive procurement and allocation of AWS capacity for new product launches and high velocity events like Prime Day and Cyber Monday. CloudTune, in partnership with Region Flexibility, is driving an SDO-wide program to diversify our use of AWS regions beyond DUB, IAD, and PDX regions. The objective of the Diversify AWS Region Usage (DARU) program is to mitigate the risk of capacity concentration by encouraging teams to design workloads that are region-flexible, utilize AWS automation such as Flexible Fleets to access multiple capacity pools, and optimize workload placement so SDO efficiently utilizes AWS. This is a strategic, highly visible, multi-year program which spans all Amazon business.CloudTune is looking for an experienced Applied Scientist to join our forecasting team and support DARU program. The team develops sophisticated algorithms that involve learning from large amounts of past data, such as actual sales, website traffic, merchandising activities, promotions, similar products and product attributes to forecast the demand for our compute infrastructure. These forecasts are used to determine the level of investment in capital expenditures, promotional activity, engineering efficiency projects and determining financial performance.As a Senior Scientist in CloudTune, you will work with other scientists, software engineers, data engineers, and product managers on a variety of important applied machine learning problems in the area of time series modeling. You will work on statistical problems with a high level of ambiguity. You will analyze and process large amounts of data, develop new algorithms and improve existing approaches based on statistical models, machine learning algorithms and big data solutions to automatically scale Amazon’s compute infrastructure, optimizing the balance between availability risk and cost efficiency for all of Amazon businesses.Key job responsibilities• Process and analyze large data sets, mining additional data sources as needed• Analyze compute scaling metrics to identify business drivers that influence infrastructure expenditures• Build statistical models and drive scalable solutions for multi-year capacity demand forecasting horizons• Prototype these models by using high-level modeling languages such as R or Python• Create, enhance, and maintain technical documentation, and present to other scientists and business leadersBASIC QUALIFICATIONS- 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 7+ years of building machine learning models or developing algorithms for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

The Campaign Measurement & Optimization (CMO) organization is looking for a Senior Applied Scientist interested in solving one of the most challenging business problems in marketing measurement and developing cutting-edge ML model. Working with our team of data scientists, applied scientists, research scientists, and economists, this leader will help redefine scalable marketing measurement at Amazon and its subsidiaries.The Campaign Measurement & Optimization (CMO) organization’s mission is to be the most trusted source of measurement science solutions to drive marketing investment decisions across Amazon. The CMO team provides incrementality and efficiency measurement services to the marketing stakeholders across Amazon’s lines of business, including Stores, Prime Video, Amazon Devices, Alexa, Amazon Business, Amazon Music, Amazon Fresh, as well as subsidiaries including Audible, Ring, Whole Foods, and more. CMO applies industry leading deep learning based causal inference models to measure omni-channel effectiveness of marketing campaigns from these businesses worldwide. The impact and influence of the organization is tremendous, helping optimize spend decisions on a scale that exceeds many countries’ GDP. Our outputs shape Amazon product and marketing teams’ decisions and therefore how Amazon customers see, use, and value their experience with Amazon.This is a high-impact role with opportunities to develop systems and analyze marketing effectiveness that contributes billions of dollars to the business. As a senior scientist, you will be responsible for leading the design and development of the cutting edge measurement and optimization models, while collaborating with businesses, marketers, and software teams to solve key challenges facing the teams. Such challenges include measuring the incremental impact of multi-channel marketing portfolios, estimating the impact on sparse customer actions, and scaling measurement solutions for WW marketplaces. Unlike many companies who buy existing off-the-shelf marketing measurement systems, we are responsible for studying, designing, and building systems to serve Amazon’s suite of businesses. Our team members have an opportunity to be on the forefront of marketing measurement thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, economists and software developers in the business.In this role, you will be a technical leader in applied science research with significant scope, impact, and high visibility. You will lead strategic measurement science initiatives in CMO and across various marketing teams, scaling experimentation and development and deployment of the measurement science models, real-time inference, and cross-channel orchestration. As a successful Scientist, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, writes code, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in employing deep learning models to solve business problems, preferably in causal inference. You are a hands-on innovator who can contribute to advancing Marketing measurement technology in a B2C and B2B environment, and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will also coach and guide scientists in the team to grow the team’s talent and scale the impact of your work.BASIC QUALIFICATIONS- 4+ years of applied research experience- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...