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The Applied Scientist will play a critical role in the research, develop, and implementation of solutions to key challenges in developing conversational AI systems that can understand and communicate with customers in a natural and contextually appropriate manner. This involves tackling complex problems in areas such as multi-turn dialogue management, knowledge grounding, and open-ended generation.Key job responsibilities1. Research and development of LLM-based chatbots and conversational AI systems for customer service applications.2. Design and implement state-of-the-art NLP and ML models for tasks such as language understanding, dialogue management, and response generation.3. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate LLM-based solutions into Amazon's customer service platforms.4. Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of the chatbots.5. Conduct experiments and evaluations to measure the performance of the developed models and systems, and identify areas for improvement.6. Stay up-to-date with the latest advancements in NLP, LLMs, and conversational AI, and explore opportunities to incorporate new techniques and technologies into Amazon's customer service solutions.7. Collaborate with internal and external research communities, participate in conferences and publications, and contribute to the advancement of the field.A day in the lifeWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.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!Benefits Summary: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) PlanAbout the teamJoin our team of scientists and engineers who develop and deploy LLM-based Conversational AI systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and associate-facing products that support our customer service associate workforce.BASIC QUALIFICATIONS- Master's degree- 2+ years of building machine learning models or developing algorithms for business application experience ...

The Amazon Search team creates powerful, customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search service go to work. We design, develop, and deploy high performance, fault-tolerant, distributed search systems used by millions of Amazon customers every day. As a Business Intelligence Engineer in the Search Capacity team, you will: - Scale the Amazon Search service by working closely with service owners in engineering and operations to understand the service in depth and drive optimal scaling and capacity planning. - Identify and track key performance metrics around efficiency and costs. - Manage planning, ordering, and budgeting for hardware and other computational resources. - Develop and improve tools for automating the foregoing responsibilities wherever possible. - Analyze resource utilization and performance test data to identify variables impacting performance and scalability. Develop models for required hardware resources to meet current and future SLAs.BASIC QUALIFICATIONS- 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R) ...

Amazon's AGI Web & Knowledge Services group is seeking a passionate, talented, and inventive Applied Scientist to lead the development of industry-leading structured Information retrieval systems. As part of our cutting-edge AGI-SIR team, you will play a pivotal role in developing efficient AI solutions for Knowledge Graphs, Graph Search and Question Answering Systems.In this role, your work will focus on creating scalable and efficient AI-driven technologies that push the boundaries of information retrieval. You will work on a broad range of problems, from low-level data processing to the development of novel retrieval models, leveraging state-of-the-art machine learning methods.Key job responsibilities- Lead the development of advanced algorithms for knowledge graphs, graph search and question answering systems, guiding the team in solving complex problems and setting technical direction.- Design models that address customer needs, making informed trade-offs to balance accuracy, efficiency, and user experience.- Collaborate with engineering teams to implement successful models into scalable, reliable Amazon production systems.- Present results to technical and business audiences, ensuring clarity, statistical rigor, and relevance to business goals.- Establish and uphold high scientific and engineering standards, driving best practices across the team.- Promote a culture of experimentation and continuous learning within Amazon’s applied science community.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)- 1+ years of building models for business application experience ...

Amazon AI is looking for an Applied Scientist to join our science team in the area of Multimodal Learning, Large Language Models, Natural Language Processing and Speech/Audio Representation Learning. Our organization develops the science that drives the cloud-based AI services of AWS. Our mission is to put the power of AI into the hands of every developer. We seek to advance the state of the art in machine learning to create services that delight our customers and meet real-world business needs. As an Applied Scientist you will partner with talented scientists and engineers to design, train, test, and deploy machine learning models. You will contribute to innovative features, improve our services based on customer requirements and help maintain a highlyscalable data and model management infrastructure that supports cutting-edge research. You will be responsible for translating business and engineering requirements into deliverables and software products. We are looking for candidates who thrive in an exciting, fast-paced environment and who have a strong personal interest in learning, researching, and creating new technologies with high customer impact. Prior domain knowledge in multimodal learning, unsupervised speech/audio representations, natural language processing, or computer vision is strongly preferred; solid knowledge of fundamentals of statistics, machine learning, and deep learning is required. Candidates should possess strong software engineering skills and several years of industry experience.About the teamAWS 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.Diverse 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. Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.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 ...

One focus area of the Amazon Workplace Health & Safety (WHS) mission is to provide tools, resources, and environments that support safe, efficient, healthy behaviors and encourage employees to proactively manage their health and wellbeing. To support this focus area, Amazon is seeking a full-time WHS Specialist (WHSS) to serve as a designated representative for their assigned building coordinating and implementing all areas of the Amazon Global Program as directed by the leadership. The WHSS promotes a positive culture while complying with Amazon standards and maintaining a safe work environment. This includes conducting trainings and coaching associates on observed work habits.The WHSS is required to maintain accurate daily, weekly, and monthly metrics to report to onsite management teams and corporate based reporting systems. The WHSS supports management’s efforts to ensure compliance with all corporate Program expectations and applicable federal & state laws. The WHSS also conducts risk assessments related to jobs performed (Job Hazard Analysis) and new equipment introductions. In addition, the WHSS is responsible for recommending appropriate risk mitigation measures to management, including ergonomics. Candidate must be willing to work any shift, based on availability. Responsibilities include but are not limited to:- Maintain accurate daily, weekly, and monthly metrics to report to onsite management teams and corporate based reporting systems- Support management efforts to ensure compliance with all corporate program expectations and applicable federal and state laws- Conduct risk assessments related to jobs performed (Job Hazard Analysis) and new equipment introductions- Responsible for recommending appropriate risk mitigation measures to management, including ergonomics- Available to work flexible shifts including days, nights and/or weekendFor those that do not have an adult First Aid, CPR, AED certification from the American Heart Association or American Red Cross, must obtain within 3 weeks of start date.BASIC QUALIFICATIONS- High school or equivalent- A minimum of 1 year in an Environmental Health & Safety (EHS) related field OR; A Bachelor’s degree in EHS-relevant background OR; 6 months experience performing in a safety-related role within Amazon- Knowledge of OSHA regulations specifically 29 CFR 1910- Experience using Microsoft Word and Excel in a professional capacity- Experience maintaining confidentiality in matter involving security and/or personnel issues in the workplace ...

Amazon Web Services (AWS) Hardware Engineering team creates compute and storage server designs for Amazon’s innovative web services. The storage platform team develops and operates all the platforms for our major storage products (S3, EBS & EC2). Our designs are industry-leading in performance, frugality and operational excellence, and are critical to the success of the AWS business and the more than one million customers who use AWS today. Our success depends on our highly respected storage infrastructure; we’re handling massive scale and rapid integration of emergent technologies.We are seeking experienced Hardware Design Engineers to build the next generation of our Nitro SSD hardware platform that is deployed through various storage platforms across their entire lifespan from inception to retirement. As noted in re:Invent 2021, Nitro SSD is the fastest growing vertically integrated NAND flash based storage solution atAWS. What you will do: As a member of the Storage Hardware Engineering team you will be responsible for the design of our storage platforms and AWS specific hardware components. You will interact with engineers across the company, and work with an interdisciplinary team to execute product designs from concept to production including design, development, validation, and the successful implementation of your work at large scale. You’ll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.Why it matters: Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our hardware is used, creates a unique opportunity for hardware customizations that will directly benefit our customers. Why you will love it: You will work directly with engineers across the company to enable the rapid development of next-generation storage solutions.You will have a direct impact on our bottom line and the ability to deliver improvements for our customers. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work.Key job responsibilitiesAs the member of Nitro SSD hardware team, you will participate in the full hardware design and product development lifecycle for Nitro SSD, including high-speed mixed signal board design, component selection, validation, qualification, operations and sustain. The team drives platform integration and continuity of supply of the Nitro SSD product and associated system integration elements. As the Hardware Dev Engineer II, you will closely work with Platform Storage teams, Annapurna teams, Commodity and Supply-chain teams and our firmware and storage software teams to deliver bar-raising vertically integrated storage solutions for our customers. You will work with CM's and ODM's to drive the quality, availability and yields for the platform.A day in the lifeDrive product design, integration, qualification, launch and sustain of the Nitro SSD hardware and associated server integration elements. Work closely with Platform and Annapurna teams to define long-term product roadmap and deliver differentiated value-adds for our customers. Work with Supply chain, Manufacturing Quality, CM's and ODM's to ensure continuity of supply and cost optimization while raising the quality bar for the product.About the teamNitro SSD teams are distributed across Seattle, Cupertino, Denver and Austin. The team builds and operates the Nitro SSD storage solution that is used by EC2 and EBS to deliver high performance, low-latency scalable storage for AWS customers.BASIC QUALIFICATIONS- Bachelor's degree in electrical engineering or equivalent- 2+ years of experience in hardware design and development of high volume storage solutions and SSD. ...

At Amazon, we're working to create the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven leaders to deliver best-in-class product. We are looking for a dynamic, customer-obsessed, and innovative Senior Designer specializing in Activewear to join our Amazon Private Brands Design team.In this role, you will design and develop products for Amazon's core brands, focusing on Active apparel across Men's, Women's, and Kids. The ideal candidate will have a strong design background and a passion for premium and contemporary design details. They will be highly technical and experienced in Activewear product development and have an extensive history of working directly with vendors and factories. Proficiency in digital design tools is necessary, along with a readiness to adopt new technologies and data inputs to accelerate and improve development without compromising quality.Successful candidates will demonstrate a proven ability to create cohesive, on-brand products across multiple categories with exceptional attention to detail. This hands-on role requires high judgment, executing against brand tenets, and proactive ownership. We value collaboration and creative excellence within our global team. The ideal candidate will possess strong partner and project management skills, lead with integrity, and have excellent communication abilities. This role will work cross-functionally with Business Management, Product Development, Technical Design, and Materials Teams.Key job responsibilities• Design and develop Activewear apparel (Men's, Women's, and Kids) from initial concept to pre-production approval• Manage projects across all design stages for Amazon Essentials and Private Brands• Identify opportunities to integrate emerging trends and innovations into product solutions• Deliver compelling presentations and effectively communicate with internal customers and stakeholders• Collaborate closely with creative leads and cross-functional partners, including Product Developers, Business Managers, Technical Design, Sourcing, and Project Management teams, to ensure work is delivered on time and of the highest quality• Proactively incorporate emerging technologies, industry innovation and data inputs to evolve and refine the product creation process• Establish mechanisms and conduct audits to maintain consistent brand standards across all product categories• Drive process improvements, business scalability, and seek opportunities to enhance division/brand impact• Elevate standards for design, product quality, and customer satisfactionBASIC QUALIFICATIONS- 10+ years of design experience- Have an available online portfolio- Experience in design- Experience partnering with technical partners for design implementation ...

Ring is seeking a Data Engineer with strong analytical, communication, and project management skills to join our team. This role will work closely with software development engineers, scientist and business stakeholders across various verticals. You will design, evangelize, and implement state-of-the-art solutions that help us provide a great customer experience. You will work with a complicated data environment, employ the right architecture to handle data, and support various analytics use cases including business reporting, production data pipeline, machine learning, optimization models, statistical models, and simulations.Key job responsibilitiesThis role will be responsible for building and maintaining efficient, scalable, and privacy/security complaint data pipelines to support our business stakeholders. These pipelines will be built using both tools available in Native AWS as well as Amazon internal tools and technologies.A day in the lifeThis Role will:- Collect and Discuss requirements from Business Stakeholders across verticals such as Subscriptions, Sales, Reverse Logistics, Finance, Product, etc.- Build new data ingestions using a combination of Native AWS services and/or internal Amazon tools. - Maintaining/Improving existing data ingestions and ensuring they meet evolving standards and corporate mandates.- Building/Improving/Maintaining frameworks or tools for internal team and external stakeholder usage to manage data.- Performing Code Reviews and ensuring best practices are followed for ETL and Data Hygiene by team members and supporting teams.About the teamRing Data Warehouse team manages the centralized data repository for Ring. We bring in and publish data from numerous internal and external sources, which are used by various stakeholders such as Ring Product engineering, Finance, Supply Chain, Marketing, Customer Support, and Sales information. BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. What will you help us create? Work hard. Have fun. Make history. The Role: You will complete high volumes of tasks with minimal guidance or supervision while maintaining awareness of deadline sensitivity. As such, the candidate must be skilled at anticipating problems, creating contingency plans, managing multiple priorities, problem solving and organizing logistics. A successful candidate will want to take on varied and exciting new projects and also learn new skills. You will need to take effective action without having to know the total picture, and efficiently and proactively solve difficult or complex problems that affect people within the department or other related groups. Key job responsibilities A day in the lifeAs an Executive Assistant, you will work in a team environment, build effective working relationships inside and outside of the group, while keeping abreast of general business objectives, policies, standards, services, facilities, procedures and related information in order to maintain a comprehensive awareness of the organization. A high level of integrity and discretion in handling confidential information, and professionalism in dealing with leaders (at and outside Amazon) is important, as is the ability to be flexible and change direction seamlessly and handle multiple tasks at once. About the teamAn important key to our success is building and maintaining healthy relationships across the various organizations, some of which are peer organizations, some who are internal customers, and some who we rely upon for foundational building blocks and technologies we integrate into our products. A big part of your job will be to understand the complex organizational structure and strengthening our relationships and collaboration with adjacent teams. So, as you begin to meet people and establish your network, it's important to foster strong relationships of trust and cooperation, and to build up a good "map" of how the various teams and leaders fit together.BASIC QUALIFICATIONS- 3+ years of senior level leadership support, or 1+ years of Amazon experience- High school or equivalent diploma- Experience with Microsoft Office products and applications- Experience with executive level calendar management ...

Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world.As a DSP Modem Embedded Software Design Engineer, you will participate in all phases of DSP physical layer software development from requirements through implementation and test to operations. Our team tackles all of the layer 1 tasks on the satellite system. Key Responsibilities: - Develop embedded software in assembly, C, and C++ in a real-time operating system environment for broadband satellite modem systems. - Write real-time critical software to augment and interact with hardware blocks such as FFT, correlator, codec, DPD, etc. - Write device drivers and system applications for satellite broadband link management. - Work closely with modem and hardware teams to support board bring-up, integration, and testing.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.BASIC QUALIFICATIONS - MS degree in DSP, signal processing or related field OR Bachelor’s Degree with 2+ Years of DSP Modem experience or equivalent experience. - 5 + years of non-internship professional software development experience including code development methodologies, debugging, version control, and code maintenance. - 5+ years of experience with DSP modem development and test. - 3+ years of experience with wireless communications systems such as 3/4/5G, WIFI, or other OFDM systems. - 3+ years of experience with functional DSP modem blocks such as FEC, FFTs, filters, synchronization, digital pre-distortion, multiple access, equalization, AGC, ACM, etc. ...

Work hard, have fun, make history. That's what we do every day at Amazon. As a key leader within Amazon's Global Real Estate & Facilities (GREF) team, the Area Manager over Occupancy Planning (OP) will oversee the strategic and tactical management of space and allocations within the corporate real estate portfolio for their assigned area. The area lead collaborates closely with various stakeholders to drive successful occupancy planning initiatives and deliver data-driven recommendations for future space requirements.The Senior Manager will be expected to align real estate strategy to business needs in partnership with key GREF Stakeholders and maintain a customer centric approach. The role will partner with both business leaders and employees to understand and influence space needs and requirements to inform supply and demand allocations. The role will be responsible for developing strategic recommendations on business line space allocations at a city level by leveraging Amazon’s size and scale and translate business requirements into effective solutions aligned with the workplace strategy. The Area Lead will oversee the Southwestern U.S. program, to include planning, budgeting, and activities that support corporate office locations across their assigned area.The optimal candidate is an experienced, vibrant, and engaging professional who will excel within an entrepreneurial culture – providing vision, leadership, and communication – not afraid to dive deep into details and take ownership. They should also understand the nuance of being approachable, while at the same time consultative– providing direction/recommendations and fostering transparent relationships. The candidate must be able to balance frugality with creativity in offering solutions and approach problem-solving with an emphasis on root cause. An ideal candidate is able to navigate high level of ambiguity and demonstrate a bias for action, taking calculated risks in a fast-paced environment. Key job responsibilities• Manage and guide an OP team of vendors responsible for the tactical occupancy planning across the area, ensuring all activities align with the Amazon’s goals and standards.• Oversee the collection, verification, and analysis of headcount and space data, including current capacity and future projections, to support strategic occupancy planning and area optimization. • Act as the primary liaison between the OP area teams, the GREF regional OP manager, and local business units. Ensure effective communication and collaboration to gather strategic direction and align area occupancy plans with regional requirements and local business needs.• Develop occupancy scenarios and migration plans, evaluating multiple options to deliver data-driven recommendations that support real estate strategy and business goals. • Project Manage all occupancy planning activities, including data collection, scenario analysis, and presentation of recommendations for your assigned area to the regional OP lead; and facilitate alignment calls with Workplace Strategists.• Oversee all reporting on area-based occupancy metrics, space allocations, and other relevant data to support real estate decisions and portfolio strategy. • Manage day-to-day operational occupancy requests and coordinate with GREF teams to ensure accurate and up-to-date space utilization data and as-built documentation for assigned area.BASIC QUALIFICATIONS- Bachelor’s degree in Finance, Project Management, architecture, interior design or related field, or related professional experience.- 7+ years professional experience required - a significant portion of which should demonstrate success in leading portfolio strategy and broad scale occupancy planning and move management projects- 5+ years of experience in program/ project management, to include delivering cross functional projects ...

Do you like to use network and Unix systems engineering to deliver simple, sustainable, and repeatable solutions? Would you like to play a key role in driving the stability and sustainability of next-generation IP networks?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.The Core Networking team is looking for a Network Development Engineer to join our Network Fabric Engineering (NFE) team. As a Network Development Engineer, you will be responsible for building, deploying and scaling the Amazon networks that support AWS, customers, and other business units, across multiple global datacenters.AWS Core Networking is focused on building Data Centers and the network that allows Data Centers to function efficiently. We own the solutions that allow racks to be aggregated and Data Centers to be interconnected. Core Networking's goal is to balance efficiency, performance and reliability to allow customers access to their applications and data. Key job responsibilitiesNetwork Development Engineers perform high quality network and/or systems operations, deployments, scaling, technology refresh, sustaining engineering, best practices application, optimization, internal/external customer interactions, and produce appropriate technical documentation.• Create and implement changes on the network.• Work closely with our automation teams in defining the tools that allow us to scale at a higher volume.• Lead network projects in the areas of network sustaining engineering, network deployment/implementation, network scaling, technology refresh, best practices application, and/or network optimization.• Sustain Amazon Web Services’ next generation networks for significant AWS customers by providing critical network support to diagnose, mitigate impact, and resolve large-scale networking events.• Operate and troubleshoot network routing, interconnectivity, platforms, performance, and configurations issues; including necessary low level application interaction, Unix systems, and new age networking software tools.• Drive and support innovation from Top of Rack to the Network Border and everything in between.• Partner with our broader Network/Infrastructure organization in the areas of network engineering, configurations standards, and tools.• Work closely with our Network/Systems/Software Engineering teams to ensure fast, smooth roll-out of new designs and products, as well as assist with deployment and sustaining of networking software tools.• Maintain standards across the networking toolset and ensure that we are fully compliant to those standards and policies.• Deliver simple, sustainable and repeatable solutions and processes.• Collaborate with highest tier escalation engineers/resolvers.• Create and review documentation and process regarding network implementation/deployments, recurring issues, new standard operating procedures, knowledge transfer material, etc.A day in the life• Work in a 24x7 team on call rotation, with ability to drive into workplace for critical events/needs.• Manage customers during problem resolution and operating efficiently under pressure.• Sit at the computer during scheduled work hours with appropriate breaks while maintaining a high level of alertness and attention to detail.• Travel to data center/network sites and Amazon/customer offices as needed.About the teamAWS NFE (Network Fabric Engineering) owns datacenter network services that provide unconstrained connectivity to our customers, such as EC2, EBS, S3 and Amazon CDO Services. They own the networks internal to the datacenters end to end, including scaling and operational functions, for both traditional datacenters. They also own newer AWS offerings such as Outposts and Local Zones.Working at AWS in the Core Networking Team- Meet Matt, Director, Core Networking --- https://youtu.be/DqTStjRtjX4- Meet Kensie, Network Development Engineer --- https://youtu.be/ezF3kpUAhWUAbout AWSDiverse 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. EEO/AccommodationsAWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please https://www.amazon.jobs/en/disability/us.BASIC QUALIFICATIONS- • 4+ years experience in a network focused hands-on technical role working with IP routing protocols/technologies and platforms in large scale data center and/or WAN network environments.- • 4+ years experience developing engineering, deployment, or operations mechanisms to support IP network and/or networking systems.- • 4+ years experience in a technical on-call capacity, responding to customer impacting events, mitigating and root cause analysis of those events.- • 1+ years of experience in automation via Bash/shell scripting and Perl/Python programming. ...

Amazon Search creates powerful, customer-focused product search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our systems go to work. We delight customers when we accurately understand their intent expressed via a query or image, and reflect that understanding throughout the search page - from layout to the search results and navigation. We make shopping effortless by helping customers easily explore our vast selection, narrowing down a myriad of options to a manageable consideration set while providing key information to make high confidence decisions with low post-purchase regretSearch Science Data Infrastructure team is responsible for delivering high quality and fresh ML model training data, and providing seamless access to all ML artifacts through federated Feature Store infrastructure. This big-data platform provides the ML training data to Amazon search ranking, matching quality, search economics and also powers live-site features, including search suggestions, query understanding, spelling, search result ranking, and personalization. Furthermore, 350+ teams across Amazon consume our datasets to power analytics and behavior models. We are located in downtown Palo Alto, a short walk from numerous shops and restaurants, and right across from the Caltrain station.Key job responsibilitiesAs an ML Engineer you will:- Lead development of services and infrastructure at the intersection of machine learning, big data, and distributed systems. Our products and services empower hundreds of science teams across Amazon to deliver machine learning at scale for ML model training, Feature engineering and Data quality monitoring. - You will help manage machine learning lifecycle and operations using AWS AI services, DL compute resources, and our core search backend services for query understanding, semantic matching, and relevance ranking. - You will build scalable data-intensive infrastructure that processes huge amounts of logs, catalogs, transactional data, and telemetry signals. By doing so, we enable teams to become more data-driven and build robust and explainable ML services. - You will work with partners on data experimentation to advance Amazon product search, making it available across all geographic regions with variety of product search and discovery use cases across many categories.- Lead the design, get your hands dirty and write code, and ultimately deploy big data and machine learning services. These services define the foundation of our search R&D processes, supporting science, product development and production of the world’s largest product search engine.- Possess expert knowledge in performance, large scale distributed system scalability, system architecture, and engineering best practices.- Obsess over operational excellence, evaluate system performance, security, design system metrics and driving quality improvementsBASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language- Experience in machine learning, data mining, information retrieval, statistics or natural language processing ...

We are Stores Foundational AI - M5 team, and we build LLM foundation models that serves a broad spectrum of areas in shopping. Imagine every shopping experience you have on Amazon has our models in the backend. We’re working to improve shopping on Amazon using LLMs, and are searching for a science leader who is passionate about technology, innovation, customer experience, and ready to make a lasting impact on the industry. You'll be working with talented scientists and engineers to innovate on behalf of our customers. You will lead a high performing team to work on cutting edge LLM technologies that makes broad customer impact. If you're fired up about being part of a dynamic, data driven team, then this is your moment to join us on this exciting journey!BASIC QUALIFICATIONS- 2+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Knowledge of machine learning approaches and algorithms ...

Lead Fulfillment Associate The Amazon operations team is looking for Lead Fulfillment Associates with a strong record of achieving results to join the expanding team supporting operations leaders and associates in delivering strong operations results within our fulfillment centers. Lead Fulfillment Associates hold various roles within the Fulfillment Center including, but not limited to: Trainer, Process Assistant and Shipping Clerk. All role types will include performing production duties as needed: pick/pack orders, receive/stow product, ensure inventory accuracy, and unload/load trucks. Lead Fulfillment Associates will also be responsible for communicating instructions to other associates, motivating them and keeping their work areas safe.Since opening our virtual doors in 1995, Amazon has been pushing the boundaries of ‘possible’ further and further. Our entire business works hard to delight our customers – from the second an order is placed online to the seamless coordination of that order behind the scenes, we strive to stay agile, fluid and intentional. Our teams band together, roll up their sleeves, and aren’t content with just standing still. We’re aiming to become the most customer-centric company on Earth.Lead Fulfillment Associates hold various roles within the Fulfillment Center. There are several types of roles that hold different job-specific responsibilities including:ISS Representative:Power connector. Maintaining the link between Corporate Retail Teams and the FC, as well as the reporting & re-escalation of tickets submitted to Retail, Vendor Management and Catalog. Plays an integral role in the RC by facilitating resolution or directly resolving problem items that cannot be received in the RC under the normal conditions of receiving. Responsible for the tactical and strategic handling of Retail Request Tickets submitted to them from Corporate.Process Assistant: Smooth operator. Helping support daily management of department duties, including allocating labor, leading meetings, assigning job duties and communicating with internal and external suppliers. Escalates barriers to Operations leaders. Drives and executes standard work in the areas of Safety, Quality and Productivity to meet daily operational goals.Dock Clerk:Dock star. Manage inbound flow from scheduling appointments to time of receives. Duties also include regular communication with carriers, the corporate transportation group, management and dock personnel. The Dock Clerk will be responsible for planning inbound arrivals, ensuring carrier compliance, managing buffers and leading dock personnel.Receiving Clerk:Mega monitor. Scheduling inbound deliveries in dock master using Advance Ship Notices. Duties also include regular communication with carriers, the corporate transportation group and receivers. Responsible for keeping an up to date knowledge of scheduled appointments, monitoring new releases and communicating with other departments, will also be responsible for training back-up clerks.Shipping Clerk:Super shipper. Correspond with multiple shipping companies and their contacts. Use multiple shipping company’s software to ship and track packages. Coordinate trailers to corresponding dock doors and cross docks using OMA tool. Ensure proper processes are followed with the Trailer Dock Release programNon-Inventory Receive Clerk:Non-Inventory guru. Work in a team environment with Procurement to administer the flow of non-inventory goods. Organize supplies, corrugate, safety equipment, and tools. Research missing shipments. Staging product in work areas. Operate PIT equipment to move goods. Use computer skills to track and receive non-inventory goods.The Regulated Waste Coordinator:Functions as the lead for the Waste Program within the FC where product and hazardous waste sent for resale, donation, or disposal are properly managed in a manner compliant with all applicable federal, state, and local regulations. The Regulated Waste Coordinator provides technical support and tactical execution of the Regulated Waste Procedure, and works in partnership with both Operations and the EHS Teams to maintain compliance while providing oversight over the waste process.Amazon Robotics (AR) Quarterback:Quarterbacks (QB) main responsibility will be monitoring overall floor health of the robotic field and leading the safe and effective work dispatch for Amnesty Floor Monitors, while ensuring minimum impact on downstream operations. QB will coordinate with the local learning, RME, and operations team, using real-time data and dashboards during shifts to drive standard work practices in supporting the building to achieve daily operational goals.Floor Health Monitor:Autonomous, self-sufficient operator. Amnesty Floor Monitor (AFMs) are associates that have undergone specific training to be able to safely access the Amazon Robotic floors and perform a wide range of tasks. Responsibilities for Amnesty Floor Monitors can be from resolving issues on the Amazon Robotics (AR) floor such as restarting a drive, to helping associates at stations with amnesty processing and prevention.Data Analyst:This Data Analyst role will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to insure compliance to ICQA-related SoX requirements. This Data Analyst role will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to insure compliance to ICQA-related SoX requirementsThings to know about working in an Amazon Fulfillment Center:• We’re committed to providing a safe work environment. This means you wear a reflective vest, stretch and recognize others for working safely.• We have a relaxed, casual dress code (as long as your attire meets our safety requirements).• We work to regulate our sites as much as possible, but even with climate controls the noise and temperature levels can vary day to day. Hearing protection is available.BASIC QUALIFICATIONS- 1+ years of Microsoft Office products and applications experience- High school or equivalent- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays- Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours, and be able to frequently push, pull, squat, bend, and reach- Work 40 hours/week, and overtime as required- Are 18 years of age or older ...

We are seeking an experienced Hardware Design Engineer to join our team. The Hardware Design Engineer will be responsible for the design, development, and testing of hardware components and systems. This includes schematic capture, PCB layout, simulation, prototyping, and validation of new hardware products. The ideal candidate will have a strong background in analog and digital circuit design, as well as experience with embedded systems and microcontrollers. Key job responsibilitiesYou will be responsible for the schematic and PCB design based on the reference platform. In addition, you will also act as system integrator, leading the cross-functional engineering team through the development process. You will be responsible for the overall hardware including audio, RF, power, display, etc; as well as leading the team through all the usual integration challenges – ESD, EMC, antenna performance, etc.1. Engage with OEM/ODM partners, vendors and cross functional teams to design, develop and test HW applicable to program objectives.2. Perform review on schematic, layout, and validation results.Be hands-on for issue debug and root cause analysis.3. Collaborating with software teams to understand and resolve design tradeoffs across hardware/ software for seamless integration.4. Work with the operations team on manufacturing test development and contract manufacturing.5. Maintain strong communications among cross functional teams.6. Mentor junior engineers in engineering best practices, and participate in hiring of new team members About the teamThe FTV Hardware team is a dynamic and collaborative group focused on driving innovation in the TV space. As part of this team, you'll have the opportunity to work closely with a variety of partners and original equipment manufacturers (OEMs) on cutting-edge programs. It's a fast-paced, exciting environment where teamwork and a shared sense of purpose are paramount. Beyond your day-to-day program work, the team also maintains an "Ideas Initiative" that encourages everyone to explore forward-looking product concepts. This allows the team to prototype ideas that could potentially lead to future product requests for proposals (PRFAQs). If you thrive in a fast-moving, team-oriented culture and are passionate about driving the next generation of TV technology, the FTV Hardware team could be the perfect fit for you.BASIC QUALIFICATIONS- Bachelor's degree in electrical engineering or equivalent- Experience with prototyping and implementation ...

AWS is looking for world class scientists and engineers to join Amazon Q Developer Machine Learning team to develop groundbreaking generative AI technologies like Amazon Q and CodeWhisperer. Our scientists push boundaries in training large language models, code generation, retrieval-augmented generation, and beyond to invent creative solutions. You will invent, implement, and deploy state-of-the-art machine learning solutions at Amazon scale, having a direct impact on revolutionary products used by millions. You will make breakthroughs that challenge the limits of AI and machine learning while collaborating with leading academics and interacting directly with customers to bring new research rapidly to production. You will publish your work at top Machine Learning and Natural Language Processing conferences.The Amazon Web Services (AWS) Next Gen DevX (NGDE) team uses generative AI and foundation models to reimagine the experience of all builders on AWS. From the IDE to web-based tools and services, AI will help engineers work on large and small applications. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.About the teamAWS 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.A day in the lifeDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.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 ...

We are seeking a highly talented, big thinker to play a key role on our Alexa Finance team, supporting a new monetization initiative. Over the past decade Amazon has developed a number of market-leading, innovative, and fast-growing digital businesses including Kindle, Kindle Fire Tablets, Fire TV and Echo. This is an exciting opportunity for an entrepreneurial minded candidate who wants to join one of the most innovative businesses at Amazon and one of the fastest growing segments within Alexa. This is an exciting opportunity for an entrepreneurial minded candidate who wants to join one of the most innovative and evolving businesses at Amazon and in Alexa.A successful candidate will be a strategic thinker, highly analytical, creative, demonstrates an ability to influence business owners, and supports decision making in rapidly evolving environments. The role requires a self-starter with the ability to be strategic, analytical, and have a demonstrated ability to effectively manage the financial responsibilities of a complex business. It requires strong business modeling skills, a keen attention to detail, and ability to work in a fast-paced environment. The candidate must have the aptitude to incorporate new approaches and methodologies (including statistical concepts) while dealing with big data. This role also has regular interaction with executives and various business units across Amazon and therefore requires strong interpersonal and communication skills. Key job responsibilitiesKey job responsibilities•Leading the financial planning and forecasting process for a new Alexa product worldwide•Building and presenting KPI dashboards with financial and business insights each month and quarter•Owning finance communication with the business teams on product performance, long term planning, risks, and opportunities.•Driving automation and scale of financial reporting in order to simplify process for internal stakeholders (e.g., finance peers and monetization partners)•Lead deep dives into key cost drivers for month end reviews, forecasts, and annual operating plans•Building financial models for new business conceptsBASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field, or Bachelor's degree and 5+ years of finance or a related analytical field experience ...

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.As the Label Relations Manager, Catalog you will possess knowledge and relationships in the catalog label, artist and estate community – and above all – a passion for supporting artists’ catalog and longevity. The overarching objective of this tactical role is to execute artist campaigns that drive fan growth for artist catalogs and leverage Amazon Music’s unique toolset (livestreams, merch, spatial audio, voice initiatives etc. to name just a few) to deliver world class music experiences to customers on Amazon Music. As an expert in the community, the Label Relations Manager, Catalog will work collaboratively across a wide range of internal stakeholders (including the rest of the Label Relations team, Artist Relations, Programming, Artist Marketing and a large number of adjacent internal functions) as well as external industry stakeholders (artist teams, estates, record labels and others), to deliver and/or ensure execution against our growth goals. The successful candidate will balance a deep passion for, and knowledge of, the catalog industry as well as possess a high-level of organization, communication, attention to detail and collaborative working skills. Are you up for the challenge? Our environment is very fast-paced, and requires someone who is flexible, detail-oriented, supremely organized, analytical, and comfortable working with multiple teams and management. If you have a passion for music, growing a business at Amazon, working directly with music labels, artists and estates while providing customers a great music experience - please apply! Key job responsibilitiesThe Label Relations Manager, Catalog will:* Work across an array of label, management and estate contacts to identify priority artist partnerships * Work in parallel with artist relations, artist marketing and programming, as well as other internal teams, to maximize business growth for all stakeholders * Manage, organize and prioritize inbound pitches and opportunities to align with Amazon Music goals* Work with international colleagues to identify multi-national campaign opportunities * Advocate for these partnerships internally to secure cross-functional buy-in* Manage and execute partnership plans for projects that deliver fan growth* Build, maintain and analyze data to glean actionable insights and best practices* Collaborate with front line labels and internal label relations teams to build complimentary catalog support for new release projects * Represent catalog label and artist interests externally on behalf of Amazon MusicBASIC QUALIFICATIONS* 2+ years experience with label relations, artist management, account management, product/project management or sales/marketing ideally with a specialist catalog music role, label or artist management team * Knowledge of music industry and digital media landscape* Deep passion and understanding of the catalog music space* Sound work ethic with strong attention to detail and drive to deliver* Excellent communication and organizational skills* Experience in team-oriented work environment* Ability to interact with stakeholders across all levels of seniority * Bachelor’s degree preferred ...

Amazon Games is seeking a highly effective Machine Learning Scientist to build and integrate new groundbreaking ML, RL and Generative AI (Gen AI) approaches into our game pipelines and customer experiences. In this role, you will collaborate with our game development studios and operations teams to research and develop generative AI-powered tools, pipelines and features across Amazon Games.At Amazon Games, our ambition is to create bold new experiences that foster community in and around our games. Our team of game industry veterans develops AAA multiplayer games and original IPs, with teams in Seattle, Orange County, San Diego, Montreal, and Bucharest. Amazon Games, through its Studios, Publishing, and Prime Gaming divisions collaborating with external partners, aims to develop, publish, and deliver compelling AAA games and content experiences for gamers to discover.Key job responsibilities- Research, implement, and productionize ambitious and complex AI/ML services for Amazon Games.- Collaborate with game team engineers, designers and artists to design, develop, and integrate new generative AI tools into developer workflows.- Proactively identify and solve problems that affect the quality of life for players, operations, and other developers.- Stay up to date with and analyze the latest advancements in generative AI technology, and continuously improve product features where meaningful improvements in cost, scalability, quality, or functionality can be achieved.A day in the life- You thrive in a collaborative environment where your decisions have significant impact and influence.- You are passionate about building game experiences that delight players.- You deliver great workflows, tools, and game innovations to your fellow developers and constantly seek improvement.- You want to be part of something exciting and unique in the gaming ecosystem.About the teamThe Amazon Games Studio AI Research team focuses on artificial intelligence innovation in gaming. Our highly skilled, multi-discipline team works across Machine Learning, Reinforcement Learning, and Generative AI to reimagine game development. We work closely with first-party game developers and partner studios to bring creative visions to life. Our mission is to use AI responsibly to transform gameplay experiences, enrich narratives, and provide creators with practical tools to optimize their production pipelines.BASIC QUALIFICATIONS- Master's degree or above in math/statistics/engineering or other equivalent quantitative discipline- 3+ years of programming in Java, C++, Python or related language experience- 3+ years of building machine learning models or developing algorithms for business application experience- 4+ years of experience in applied research- 1+ year of experience in mentoring junior colleagues and/or contributing as a leader by interviewing, managing a team or similar- 1+ year of experience in Game development (or similar entertainment field) including working with game designers and artists ...