Bellevue

Amazon’s Last Mile Team is looking for a passionate individual with strong optimization and analytical skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world. Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)’s success and the sustainable growth of Amazon. Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. Key job responsibilitiesCandidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. As an applied scientist, you will also help coach/mentor junior scientists in the team.BASIC QUALIFICATIONS- 1+ years of programming in Java, C++, Python or related language experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience building machine learning models or developing algorithms for business application- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

The Devices and Services Security team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to secure the development of industry-leading Generative AI systems.As a Senior Applied Scientist with the Devices & Services Security team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with Generative AI 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 of security solutions with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI).The Devices and Services (D&S) Security team works to ensure that Amazon devices and services are designed and implemented to the high standards required to maintain and enhance customer trust. The team develops security technologies for builder teams, performs penetration testing, and handles and tracks incident responses to resolution. The team is responsible for defining and executing on the security and privacy requirements for the entire organization.A day in the lifeDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & 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, training, 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.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 ...

Are you excited about developing cutting-edge generative AI, large language models (LLMs), and foundation models? Are you looking for opportunities to build and deploy them on real-world problems at a truly vast scale with global impact? As part of AFT (Amazon Fulfillment Technologies) AI, a group of over 50 scientists and engineers, we are on a mission to build a new generation of dynamic end-to-end prediction models (and agents) for our warehouses based on GenAI and LLMs. These models will be able to understand and make use of petabytes of human-centered as well as process information, and learn to perceive and act to further improve our world-class customer experience – at Amazon scale.We are looking for an Applied Scientist who will help us build next-level process prediction and shift simulations for all systems in a full warehouse with the help of generative AI, graph neural networks, 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 responsibilitiesIn this role, you will dive deep into our fulfillment network, understand complex processes, and channel your insights to build large-scale machine learning models (LLMs and Transformer-based GNNs) that will be able to understand and predict the state and future of our buildings, network, and orders.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 to solve cutting-edge problems going beyond the published state of the art that will drive transformative change on a truly global scale.If you thrive in a dynamic environment and are passionate about pushing the boundaries of generative AI, LLMs, and optimization systems, we want to hear from you.A 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:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. 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 teamAmazon 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.BASIC QUALIFICATIONS- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- 1+ years of building models for business application experience ...

The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in deep learning, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs part of the AGI team, an Applied Scientist will collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovating model-in-the-loop and human-in-the-loop approaches to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. An Applied Scientist will also have a direct impact on enhancing customer experiences through state-of-the-art products and services that harness the power of speech and language technology. A day in the lifeAn Applied Scientist with the AGI team will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. The ideal candidate should be passionate about delivering experiences that delight customers and creating robust solutions. They will also create reliable, scalable and high-performance products that require exceptional technical expertise, and a sound understanding of Machine Learning.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience with Large Language Models (LLMs) or multimodal architectures ...

Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Applied Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative models knowledge. Key job responsibilitiesAs an Applied Scientist with the AIT team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our international customers in the form of products and services that make use of digital assistance technology. You will leverage Amazon’s heterogeneous data sources, unique but diverse international customer nuances and large-scale computing resources to accelerate advances in voice domain in multi-modal setup. The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in this vast and quickly evolving field. They thrive in fast-paced environments to will tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. A day in the life· Analyze, understand, and model customer behavior and the customer experience based on large scale data. Especially showing passion towards solving for international customer-centric challenges.· Build novel online & offline evaluation metrics an methodologies for personal digital assistants and customer scenarios, on multi-modal devices.· innovate and deliver deep learning based innovation across life-cycle such as policy-based learning, international customer specific model performance tuning.· Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing· Contribute through industry first research to drive the innovation forward. BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers’ experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries.An Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies.We are looking for a leader with strong technical expertise and a passion for developing science-driven solutions in a fast-paced environment. The ideal candidate will have a solid understanding of state of the art NLP, Generative AI, LLM fine-tuning, alignment, prompt engineering, benchmarking solutions, or CV and Multi-modal models, e.g., Vision Language Models (VLM), zero-shot, few-shot, and semi-supervised learning paradigms, with the ability to apply these technologies to diverse business challenges. You will leverage your deep technical knowledge, a strong foundation in machine learning and AI, and hands-on experience in building large-scale distributed systems to deliver reliable, scalable, and high-performance products. In addition to your technical expertise, you must have excellent communication skills and the ability to influence and collaborate effectively with key stakeholders.You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.Key job responsibilitiesYou'll lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. You set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to our growth by hiring smart and motivated Scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need.A day in the lifeYou will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.About the hiring groupAbout the teamThe mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics.The term “sensitive content” includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term “content” refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with multimodal systems. Key job responsibilitiesAs an Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with 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 4+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language ...

Amazon is looking for world class scientists to join its AWS Fundamental Research Team working within a variety of machine learning disciplines. This group is entrusted with developing core machine learning solutions for AWS services. At the AWS Fundamental Research Team you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually large scale ML solutions across different domains and computation platforms. You will interact closely with our customers and with the academic community. 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.This team is part of AWS Utility Computing: Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language ...

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.Amazon Web Services (AWS) offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. These services are trusted by the largest enterprises and the hottest start-ups to power a wide variety of workloads including web and mobile applications, data processing and warehousing, storage, archive, and many others.We are looking for an applied scientist to help us define and build a new enterprise application. AWS Applications is building services in Supply Chain Management and is looking for a scientist to tackle complex science problems in Supply Chain including demand planning, supply planning and sustainability which will be used by our customers across a wide range of industries.We operate a fast growing business and our journey has only started. Our mission is to build the most efficient and optimal supply chain software on the planet, using our science and technology as our biggest advantage. We aim to leverage cutting edge technologies in optimization, operations research, and machine learning to grow our businesses.As an Applied Scientist, you’ll design, model, develop and implement state-of-the-art models and solutions used by users worldwide. As part of your role you will regularly interact with software engineering teams and business leadership. The focus of this role is to research, develop, and deploy models to improve state-of-the-art for time series. You will have the opportunity to work on our assistant solution allowing our users to ask data questions in natural language and get intelligent insights and exceptions.Key job responsibilitiesLead and partner with the engineering to drive modeling and technical design for complex business problems.Develop accurate and scalable machine learning models to solve our hardest supply chain problems.Lead complex modeling analyses to aid management in making key business decisions and set product direction.A day in the lifeWhy AWSAmazon 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 ExperiencesAmazon 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 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.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 and 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.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 1+ years of programming in Java, C++, Python or related language experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience with neural deep learning methods and machine learning ...

Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Generative AI solutions with LLMs, enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, moving fast to ship solutions and then iterating on user feedback and interactions.Key job responsibilitiesAs an Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations. You will analyze, understand and improve user experiences by leveraging Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers in the form of novel products and services.BASIC QUALIFICATIONS- PhD, or Master's degree and 2+ years of building machine learning models for business application experience- PhD, or a Master's degree and experience in CS, CE, ML or related field research- Experience programming in Java, C++, Python or related language- 3+ years’ experience with modeling languages and tools like PyTorch / TensorFlow, R, scikit-learn, numpy, scipy, etc- Solid ML background and familiar with standard NLU, NLG, and LLM techniques ...

The Digital Discovery team is part of the Digital Acceleration organization and is seeking a highly motivated, talented, and innovative Applied Scientist to drive the prototyping, optimization, and deployment of machine learning (ML) algorithms. These algorithms will be instrumental in enhancing the discovery of digital products and subscriptions across the Amazon platform. The Digital Discovery team is responsible for developing advanced algorithms and modeling techniques to acquire new customers and improve engagement for digital business including eBooks, Music, Audible, and Prime.In this pivotal role, you will leverage your expertise in machine learning and deep learning to build predictive models aimed at acquiring new customers and driving deeper engagement with existing customers across these digital offerings. This will involve developing propensity models for various digital products, optimizing targeting strategies for different placements, and identifying real-time customer digital interests.Collaborating closely with the engineering team, you will be responsible for the end-to-end lifecycle of these ML models - from architecture and training to production deployment. Your primary focus will be on uncovering customer pain points and devising novel, data-driven solutions to address them. This will require proposing hypotheses, validating them through offline experimentation, and ultimately running rigorous A/B tests to validate the online performance of your innovations. Throughout this process, you will develop production-ready code that can seamlessly integrate with the systems powering Amazon’s digital businesses. Your work will directly contribute to enhancing the discoverability and engagement of digital products and subscriptions.If you are a passionate, self-driven individual who thrives in a fast-paced, collaborative environment and is eager to push the boundaries of what’s possible in AI and ML, we encourage you to apply for this exciting opportunity on the Digital Discovery team.Key job responsibilities- Convert business problem in digital discovery into a Science problem to improve recommendation. - Work with Data Engineering and BI teams to identify features and build data pipelines. - Use and enhance ML Ops tools to train, validate, deploy, and compare the models with automatic retraining. - Explain model performance to tech and business leaders. - Work with peer community in Science to present, review and publish the model reports and papers. About the teamAmazon Digital Acceleration powers ordering, subscriptions, and device management for Prime, Amazon Video, Music, Audible, Alexa, and Kindle, amongst other digital businesses. We process billions of digital purchases every year and enable our digital businesses to grow their businesses worldwide. We are on a mission to be earth's best provider of one-time and recurring digital commerce, delivering a seamless and enjoyable post-purchase customer experience.BASIC QUALIFICATIONS- 2+ years of building models for business application experience- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon is looking for a Applied Scientist to help build next generation selection/assortment systems. On the Core Selection team within the Supply Chain Optimization Technologies (SCOT) organization, we own the selection to determine which products Amazon offers globally. We build tools and systems that enable our partners and business owners to scale themselves by leveraging our problem domain expertise, focusing instead on introspecting our outputs and iteratively helping us improve our ML models rather than hand-managing their assortment. We partner closely with our business stakeholders as we work to develop state-of-the-art, scalable, automated selection management systems.As an Applied Scientist, you will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including supervised and unsupervised machine learning, non-convex optimization, causal inference, natural language processing, linear programming, reinforcement learning, and other forecast algorithms. Some critical research areas in our space include modeling substitutability between similar products, incorporating basket awareness and complementarity-aware logic, measuring speed sensitivity of products, modeling network capacity constraints, and supply and demand forecasting.Key job responsibilitiesYou will be a science tech leader for the team. As an Applied Scientist you will: - Innovate on state-of-the-art assortment planning systems for Amazon Retail.- Lead the decomposition of problems and development of roadmaps to execute on it.- Set an example for other scientists with exemplary scientific analyses; maintainable, extensible, and well-tested code; and simple, intuitive, and effective solutions.- Influence team business and engineering strategies.- Exercise sound judgment to prioritize between short-term vs. long-term and business vs. technology needs.- Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.- Foster collaborations between scientists across Amazon researching similar or related problems.- Engage with the broader scientific community through presentations, publications, and patents.To help describe some of our challenges, we created a short video about SCOT at Amazon: http://bit.ly/amazon-scotBASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Do you enjoy solving challenging problems and driving innovations in research? Are you seeking for an environment with a group of motivated and talented scientists like yourself? Do you want to create scalable optimization models and apply machine learning techniques to guide real-world decisions? Do you want to play a key role in the future of Amazon transportation and operations? Come and join us at Amazon's Modeling and Optimization team (MOP).Key job responsibilitiesAn Applied Scientist in the Modeling and Optimization (MOP) team - provides analytical decision support to Amazon planning teams via applying advanced mathematical and statistical techniques.- collaborates effectively with Amazon internal business customers, and is their trusted partner- is proactive and autonomous in discovering and resolving business pain-points within a given scope- is able to identify a suitable level of sophistication in resolving the different business needs- is confident in leveraging existing solutions to new problems where appropriate and is independent in designing and implementing new solutions where needed- is aware of the limitations of their proposed solutions and is proactive in communicating them to the business, and advances the application of sciences towards Amazon business problems by bringing new methods, ideas, and practices to the team and scientific community.A day in the life- Your will be developing model-based optimization, simulation, and/or predictive tools to identify and evaluate opportunities to improve customer experience, network speed, cost, and efficiency of capital investment.- You will quantify the improvements resulting from the application of these tools and you will evaluate the trade-offs between potentially competing objectives. - You will develop good communication skills and ability to speak at a level appropriate for the audience, will collaborate effectively with fellow scientists, software development engineers, and product managers, and will deliver business value in a close partnership with many stakeholders from operations, finance, IT, and business leadership.About the team- At the Modeling and Optimization (MOP) team, we use mathematical optimization, algorithm design, statistics, and machine learning to improve decision-making capabilities across WW Operations and Amazon Logistics.- We focus on transportation topology, labor and resource planning for fulfillment facilities, routing science, visualization research, data science and development, and process optimization.- We create models to simulate, optimize, and control the fulfillment network with the objective of reducing cost while improving speed and reliability.- We support multiple business lanes, therefore maintain a comprehensive and objective view, coordinating solutions across organizational lines where possible.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon’s Modeling and Optimization (MOP) Team is looking for a passionate individual with strong optimization and analytical skills to join us in the endeavor of designing and planning the most complex supply chain in the world.The team is responsible for optimizing the global supply chain for Amazon.com and ensuring that the company is able to inbound goods from seller and vendors, transport them to their target fulfillment center, and deliver to our customers as quickly, accurately, and cost effectively as possible. We work on problems ranging from network design to assortment optimization, in order to support strategic decisions. It is a terrific opportunity to have a direct impact in the business while pushing the boundaries of science.Key job responsibilitiesWe are seeking an experienced scientist who has solid background in Operations Research, Operations Management, Applied Mathematics or other similar domain.In this role, you will develop models and solution algorithms that are innovative and scalable to solve new challenges in the network design space. You will collaborate with other scientists across teams to create integrated solutions that improve fulfillment speed and minimize end-to-end cost. You have deep understanding of business challenges and will provide scientific analysis to support business decision using a range of methodologies. You will also work with engineering teams to identify new data requirements, deploy new models or simplifying existing processes.About the teamhttps://www.aboutamazon.com/news/innovation-at-amazon/how-artificial-intelligence-helps-amazon-deliverBASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

At OpsTech Solutions (OTS), we are a technology centric services organization that designs, builds, and sustains the invisible, high-quality network, compute infrastructure and device scaffolding that empowers and protects Amazon’s global Operations. The OTS DataTech team drives enterprise data strategy and support across OTS. Our charter encompasses OTS-wide efforts, including Data as a Product (DaaP), enterprise data infrastructure, AI/ML capability, and supporting specific business-critical programs, fueling innovation and automation for OTS.We are looking for a passionate, talented, and innovative Applied Scientist with a background in developing and implementing state-of-the-art machine learning solutions within the realms of supervised and unsupervised learning, Generative AI (GenAI), and optimization. Key job responsibilitiesIn this role, you will play a pivotal role in shaping the vision, roadmap, design, development, and implementation of science based solutions from beginning to end. - You will contribute to building and maintaining an MLOps Platform that will support end-to-end scientific operations for a wide range of AI/ML use cases. You will be responsible for the seamless integration of scientific products with existing systems, ultimately leading to increased operational efficiency and productivity across OTS. - You will also have the opportunity to leverage our foundational GenAI platform to help OTS customers build GenAI applications for their use cases.- You will be closely partnering with a cross-functional team of stakeholders including with Applied Scientists, Data Scientists, Machine Learning Engineers, Data Engineers, Product Managers, and Technical Program Managers.Come join OTS DataTech as we continue to innovate and pioneer the AI/ML space within OTS!A 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 apply!BASIC QUALIFICATIONS- MS or PhD in quantitative field (CS, CE, ML preferred) or equivalent relevant work Strong background in machine learning, including supervised and unsupervised learning algorithms.- Experience developing, building and implementing complex software systems, especially involving ML, that have been successfully delivered to customers.- Knowledge of Generative AI and its applications.- Proficiency in programming languages such as Python, Java, or C++.- Strong communication skills, both written and verbal. ...

Are you passionate about tackling challenging problems in the realm of safety and effecting change for millions of Amazon Associates globally? Join our WHS-datatech team as an Applied Scientist and elevate your career to new heights! We are dedicated to creating cutting-edge software solutions utilizing computer vision, wearable technology, and machine learning models to enhance the well-being and safety of our workforce on a large scale.In this role as an Applied Scientist specializing in LLM (Large Language Model) and computer vision, you will be at the forefront of designing and implementing critical product features. Your expertise in these areas will be instrumental in shaping our strategic direction by defining feature requirements, influencing system architecture decisions, and championing best practices to deliver a top-tier product. You will play a key role in developing software solutions from the ground up, optimizing our internal processes, and collaborating with external partners. The Applied Scientist position requires experience in LLM and computer vision, technical acumen, problem-solving experience, effective communication skills, and a desire to drive impactful technical advancements.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 Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf 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!Key job responsibilitiesApply LLM model to analyze complex unstructured datasets and extract meaningful insights.Collaborate with software engineers to implement and deploy machine learning (LLM or CV) solutions.Conduct experiments and evaluate model performance, iterating and improving as needed.Stay up-to-date with the latest advancements in machine learning and related fields.Collaborate with cross-functional teams to understand business needs and identify areas for application of machine learning.Present findings and recommendations to stakeholders and contribute to the overall research and development strategy.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- PhD degree in CS, CE, or related technical field.- A formal PhD degree in CS, CE, or related technical field can be replaced by 5 years of relevant experience on top of a MSc, and 7 years on top of a BSc. ...

Amazon Transportation collectively represents some of the most critical components of Amazon’s first-class transportation network. This organization oversees all global middle and last mile products, spanning B2B and B2C, critical partners, enterprise and SMB customers across numerous teams. This includes – but is not limited to – Amazon Shipping, Amazon Freight, Amazon Relay, Amazon Freight Partners, Amazon Flex, Amazon Hub, Amazon Hub Delivery and delivery service partner. Everything we do is aimed at further delighting our customers, partners and employees with faster, cheaper and more efficient means of shipping and receiving packages. Creative Garage (CG) is the central creative team supporting the portfolio of global transportation products across Amazon Transportation. The team focuses on building brand awareness, recognition, acquisition and engagement with global transportation brands through the human stories behind logistics. The team builds and owns the global brands and the creative expression of these brands throughout the customer journey. We work closely with global marketing and customer insights partners to test and learn creative, ensuring our design solutions resonate with the target audience. We have high standards and strive to continuously raise the bar across all creative elements.The Art Director will have a passion for creative development and execution. The ideal candidate is a hands-on, experienced, and versatile creative who turns business goals and creative vision into world-class designs. They will have a proven understanding of creative and design, and an ability to develop scalable design systems for our product portfolio. They will develop a strong knowledge of Amazon and Amazon Transportation products, brand guidelines, and design tenets. This person thrives as a research-driven designer, loves collaborating with business stakeholders to understand customer pain-points and excels in creating exceptional storytelling solutions for our customers. They will design engaging, omni-channel visual content, including but not limited to: marketing campaigns, sales collateral, and in-person event experiences. They have experience synthesizing complex concepts into simple storytelling that resonates with customers. They will have a high degree of ownership and integrity; they will be strong problem solvers with the ability to think critically. They must be willing to continuously learn and keep up with the latest trends.Key job responsibilities• Skilled at art direction, brand development, image curation, visual storytelling, layout, form and color.• Manage campaign art direction end-to-end (from concept to production) across mediums including digital, social, OOH, on-platform ads, direct mail, collateral, external partnerships, experiential, and more.• Develop and strengthen brand assets, including style and usage guides, across multiple and diverse categories, look to understand and translate data into insights that inform creative conceptual development• Establish mechanisms and audit work to maintain consistent brand standards across all customer-facing touch points of marketing programs• Present concepts and work to stakeholders and cross-functional partners, including senior management up to VP level• Write, develop and work from creative briefs to translate marketing strategies to creative execution.• Employs sound critical thinking & problem-solving approaches, comes to the table with solutions.• Establish and maintain a high creative bar of excellence.• Comfortable taking ownership in an ambiguous environment.• Demonstrates a command of creative methods, tools, communication, and presentation skills.• Builds trust, respect, and credibility with stakeholders, management, peers, and executives.• Engages in active listening and gathers diverse perspectives, knowing when and where to provide sometimes divergent perspective.• Works collaboratively with the creative operations team to deliver projects on time and on budget.• Identify emerging culture/design trends and digital innovations• Works with a global marketing team across NA, UK and EU, localizing where necessary.About the teamWe call ourselves the Creative Garage. We are an internal creative studio, built to centrally support the global transportation org. We believe creatives working with other creatives on a central team provides a stronger, more collaborative and inclusive work environment; more career growth opportunities; and results in stronger creative solutions for our customers. We make logistics human and love telling the stories of those that make the supply chain work. Most importantly, we make awesome creative and have fun doing it. Come join our team. We look forward to meeting you.BASIC QUALIFICATIONS- 5+ years of design experience- Have an available online portfolio- Experience working with agile development teams (agile/scrum/kanban)- Knowledge of branding guidelines and corporate identity, visual design, print and digital layout design- Experience in Adobe Creative Suite applications, with high proficiency in Adobe Illustrator, Photoshop, InDesign, and Acrobat using macOS ...

We are looking for an Assistant Manager who can bring Amazon’s customer obsession to life in a grocery environment. You will direct day-to-day store operations and lead a team of engaged grocery associates to deliver a one of a kind shopping experience for customers. You will play a vital role in maintaining a vibrant store culture based on customer obsession, trust, respect, continuous learning, safety, and fun.Assistant Managers are experienced in leading large teams to deliver against standard operating procedures. Assistant Managers are natural leaders who are comfortable with change and are always looking for ways to improve their operation. Assistant Managers demonstrate a strong work ethic, excellent ownership, the ability to meet deadlines, a willingness to learn new things, and a commitment to the customer and employee experience.Key job responsibilities- Act as the manager on duty in the store, focused on delivering results while enabling a positive customer and employee experience.- Manage a team of associates, including relaying expectations, managing performance, providing regular feedback, and supporting career development.- Delegate effectively to drive results in your store, including executing standard operating procedures, identifying areas of improvement, implementing solutions, and providing ongoing feedback to store employees.- Maintain a culture of engagement by routinely listening to feedback from leaders, associates, and customers and implementing solutions to solve problems.- Identify areas of opportunity, determine root causes, and seek support to implement solutions to continuously improve the overall performance and culture of the store. - Maintain a safe, clean, and secure environment to ensure the security of all employees, customers, and products in your store. - You are comfortable working in a physical environment. You have the ability to lift up to 49 pounds and be on your feet for a shift.- Must be able to work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.Candidates must be at least 18 years of age. Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role.About the teamAmazon Fresh Stores is a unique extension of Amazon.com that focuses on in-person shopping experiences throughout our grocery stores. We are passionate about creating a shopping experience that provides our customers with a wide selection, low prices and convenience. If you enjoy being both a leader and an inventor and you want to join a fast-paced, cutting-edge team that is making history and breaking new ground for Amazon’s grocery stores, this is the place for you.BASIC QUALIFICATIONS- 2+ years leadership experience in a customer-facing retail, hospitality, or grocery environment, or 2+ years of Amazon (Blue Badge/FTE) experience, or Bachelor's degree from an accredited university. ...

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.Kuiper Productivity Engineering (KPE) is seeking an Atlassian Administrator with Infrastructure and automation experience. This role requires in-depth knowledge across the Jira, Confluence, Bitbucket, and Bamboo services along with DevOps knowledge for upgrades and maintenance in the AWS GovCloud environment. This is a hands-on position where your daily activities will range from strategic planning to new system development to supporting the customers that depend on our services. Key job responsibilities- Subject Matter Expert on all workflows end-to-end, customizations, marketplace apps, management and configuration in Atlassian.- Upgrade, configure, operate, and support Jira, Confluence, Bitbucket, and Bamboo services.- Develop customized solutions, including design, implementation, quality control, end-to-end testing plans in multiple environments (dev/test/stage/prod), troubleshooting and bug fixing. These solutions may require custom code development, API creation, and integration with other AWS services.- Troubleshoot application issues and add-on integration issues in the Atlassian implementation.- Determine ways to optimize/improve setup and workflows, as well as identify where functionality may or may not meet user requests.- Develop metrics dashboards and advanced filters to provide end-users and business leadership with meaningful operational/performance metrics and status reports.- Develop automation for Blue/Green deployments and post-upgrade testing.- Install, manage and administer add-ons, plugins, and extensions for Atlassian Data Center products.- Develop process workflows for Jira including field configurations, screen schemes, permission schemes and notification schemes.- Research, Diagnose, and Monitor performance bottlenecks.- Write documentation and provide technical training for cross-functional teams.Export Control Requirements: Due to the need to access certain federal controlled information, you must be a U.S. citizen for consideration.A day in the lifeIn this role, you will function as both an Atlassian administrator and DevOps Engineer. You will operate two distinct Atlassian stacks in AWS GovCloud, develop automation for upgrades/patching/testing, and enhance observability of the systems. You will work with stakeholders and senior engineers to design and develop custom solutions and integrations between Atlassian tools and other services in a secure manner.About the teamKPE builds and operates the core productivity solutions supporting Kuiper’s operations and engagements with business partners. Our services set the example for operational excellence and invisibly scale as the business grows, while maintaining the highest standards of security and regulatory compliance. We innovate on behalf of our customers to automate and simplify their workflows, enabling them to focus on high-value activities.BASIC QUALIFICATIONS- Experience in automating, deploying, and supporting large-scale infrastructure- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust- Experience with Linux/Unix- Experience with CI/CD pipelines build processes ...

The Role:We are seeking a highly motivated Lab Engineer to join our Devices team. The ideal candidate will be flexible, detail-oriented, and skilled at working with internal customers (Software, Science, Product teams) driving data collection and infrastructure development.As Lab Engineer on the Data Collection team, you will champion the quality and efficiency of data collection for the organization, implementing and executing on large scale data collection, ensuring deliverables meet and exceed customer expectations.Key job responsibilities:- Work with software and science teams to create data collection plans and test cases.- Running test cases on devices – such as executing use case scenario based testing- Write, read, run, and develop test scripts in collaboration with developer teams in Python.- Execute test cases, interpret, and report testing results, and be a vocal proponent for quality in every phase of the development process- Find, isolate, document, regress, and track bugs through resolution. Able to debug and restore data collection systems. - Support projects including setup and verification of all system components, trouble-shooting during set-up and live sessions, and ensure integrity and upload, metrics reporting tasks and processes, and document best practices- Provide technical support to the field operation or vendor teams- Apply knowledge of wireless and networking technologies, mobile devices, and quality assurance practices to ensure that connected devices meet all target requirements- Gaining knowledge of the features and detailed functional requirements to execute your assigned tests- Work onsite 5 days per week - Lift up to 25lbs when needed- Effective written communicator, this role will include working with international teams.BASIC QUALIFICATIONS- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent work experience- Python coding- Experience with writing the test plans, use cases, and issue reports ...