Boston

Have you always wanted to be a part of something bigger - something that charts a course for the future? Do you love seeing the result of your work reflected in the world around you? Do you thrive on solving problems, spotting patterns and working in an ever-changing environment? Then please, read on!Key job responsibilities• Work with a range of text, speech and other types of data in Italian• Deliver high-quality labelled data, using guidelines provided to meet our KPIs, and using in-house tools and software.• Report issues with tools and software as and when they occur.• Show Ownership and initiative when providing feedback for improvements to existing tooling that can increase the amount and quality of the data we process - we believe every ground-breaking change starts with a small idea!• Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information.What We Offer • Opportunity to work in a leading world-class organization, dedicated to making everyday life simpler for millions of people• Competitive salary• Benefits packageA day in the lifeWe are looking for a Data Associate (DA) to undertake the task of foundational labelling functions, such as dialogue evaluation on speech & text data, to assess and improve Alexa’s performance in everyday situations. To effectively change the world, you need to be a bit different - your adaptability, focus, and attention to detail in a constantly shifting environment are unparalleled; you pride yourself on your ability to recognise issues - and come up with elegant and innovative solutions. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. So, an inner drive, individuality, and a creative mind are extremely beneficial.About the teamThe Amazon Data Services organization provides data creation, curation, and analytics services to help develop, test, and train the Alexa AI. We work closely with Amazon Machine Learning (ML) Science and modelling teams, providing the critical data they need to improve Alexa’s speech recognition and language understanding capabilities.BASIC QUALIFICATIONS• Speak, write, and read fluently in Italian• Comfortable working with speech from various dialects and accents of one or more of the following regional languages: Italian• High-School or equivalent diploma • Speak, write, and read fluently in English • Knowledge of Microsoft Office products and applications ...

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities• Maintain and follow strict confidentiality as customer privacy is our biggest tenet• Work with a range of different types of data including but not limited to text, speech, image, and video in French• Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.• Serve as a subject matter expert for Machine Learning (ML) data workflows, demonstrating proficiency in researching, generating factually and grammatically accurate responses, ranking responses, creating grammatically correct text, and annotating images and videos• Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.• Eye for detail and ability to pivot from one category of requirement to another instantaneously.• Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team• Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.• Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations• Demonstrate ownership in floor support to clarify internal queries during execution on need basisA day in the lifeWe are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.About the teamThe team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.BASIC QUALIFICATIONS• Fluent proficiency in French language, including grammar and spelling (both written and spoken). • Comfortable working with speech from various dialects and accents of one or more of the following regional languages: French• Business proficiency (B1+) in English language. • High-School or equivalent diploma. • 2+ years of professional work experience with demonstrated task execution ability ...

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities• Maintain and follow strict confidentiality as customer privacy is our biggest tenet• Work with a range of different types of data including but not limited to text, speech, image, and video in German• Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.• Serve as a subject matter expert for Machine Learning (ML) data workflows, demonstrating proficiency in researching, generating factually and grammatically accurate responses, ranking responses, creating grammatically correct text, and annotating images and videos• Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.• Eye for detail and ability to pivot from one category of requirement to another instantaneously.• Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team• Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.• Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations• Demonstrate ownership in floor support to clarify internal queries during execution on need basisA day in the lifeWe are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.About the teamThe team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.BASIC QUALIFICATIONS• Fluent proficiency in German language, including grammar and spelling (both written and spoken). • Comfortable working with speech from various dialects and accents of one or more of the following regional languages: German • Business proficiency (B1+) in English language. • High-School or equivalent diploma. • 2+ years of professional work experience with demonstrated task execution ability ...

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities• Maintain and follow strict confidentiality as customer privacy is our biggest tenet• Work with a range of different types of data including but not limited to text, speech, image, and video in Italian• Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.• Serve as a subject matter expert for Machine Learning (ML) data workflows, demonstrating proficiency in researching, generating factually and grammatically accurate responses, ranking responses, creating grammatically correct text, and annotating images and videos• Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.• Eye for detail and ability to pivot from one category of requirement to another instantaneously.• Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team• Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.• Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations• Demonstrate ownership in floor support to clarify internal queries during execution on need basisA day in the lifeWe are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.About the teamThe team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.BASIC QUALIFICATIONS• Fluent proficiency in Italian language, including grammar and spelling (both written and spoken). • Comfortable working with speech from various dialects and accents of one or more of the following regional languages: Italian• Business proficiency (B1+) in English language. • High-School or equivalent diploma. • 2+ years of professional work experience with demonstrated task execution ability ...

We are looking for an Data Associate with experience in Linguistic Services in our Boston Location. In this Data Associate role, you’re comfortable with, and understand, the changes to the guidelines deployed in response to internal customers’ requests. You demonstrate the ability to adjust your workflows accordingly, and you prioritize strict compliance with regulatory requirements.Key job responsibilitiesIn this role, you will:* Build a thorough understanding of labeling guidelines and provide support to global sites.* Deliver high quality data output within deadlines.* Work autonomously with minimum direction.* Handle unique data analysis requests from a wide range of internal customers. Contribute to process improvements to reduce handling time and improve data output.* Dive deep into issues and implement solutions independently.* Provide quality expertise to other team members and coaching improvementsBASIC QUALIFICATIONS* BA or BS Degree * Experience with phonemic transcription in the International Phonetic Alphabet (IPA) and/or X-SAMPA. * Native level fluency in English. ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and innovative principal applied scientist with a strong background in deep learning, to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs a Principal Applied Scientist within the AGI team, you will work with world-class scientists and engineers to develop novel data, modeling and engineering solutions to support the responsible AI initiatives at AGI. Your work will directly impact our customers in the form of products and services that make use of AI technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in AGI in order to provide the best-possible experience for our customers.About the teamOur team has a mission to push the envelope of AGI, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONSPhD with specialization in artificial intelligence, natural language processing, machine learning, with 10+ years of combined academic and research experience. Strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills ...

Come build the future of privacy with us! To get there, we need exceptionally talented, bright, and driven people. We work in a fast-paced environment across multiple industries, never losing our passion for customers. As a member of the Workplace Trust: Privacy, AI, and Risk team, you will play a key role in operationalizing privacy across Amazon’s global employee, candidate, and contingent worker populations. This includes engaging with multiple stakeholders across the enterprise to help ensure compliant outcomes. You will be responsible for consulting with key stakeholders to drive alignment with global privacy regulatory requirements, including CPRA and GDPR. In the execution of Amazon’s global privacy obligations, you will rely heavily on your subject matter expertise, as well as your case management, analytical, and relationship building skills to develop and deploy innovative strategies for data protection. The identified candidate will demonstrate proven experience to: support diverse stakeholders; evaluate control effectiveness; understand levels of potential risks and how to address them; provide in-depth consultation; and have the ability to synthesize diverse data to identify patterns, draw conclusions, and prioritize remediation efforts using risk management concepts. Excellent writing skills are required as the output for this role will be documentation that aligns to privacy regulations worldwide. The ‘day-to-day’ aspect of this role will be to review internal Amazon systems for compliance with global privacy obligations. As part of this you will provide proactive guidance for upcoming tech builds and roadmaps, work with senior leaders on acceptable business risk when applicable, and track remediation actions as needed. You will be responsible for knowing the privacy risks of systems, and ensure the system owners follow the correct paths to full compliance. After reviewing each system, you will be responsible for creating a Data Protection Impact Assessment (DPIA) and Record of Processing (RoP) for regulatory need. Key job responsibilities* Consult with global legal, finance, benefits, IT, information security, and HR policy, process, vendor, and application owners to ensure that sound protocols are in place to mitigate privacy risks. * Monitor known and emerging risks, measure internal control effectiveness, and develop and own action items to remediate identified risk issues. * Socialize and secure commitment for remediation and risk management strategies. * Develop deep knowledge of employee privacy obligations and data privacy processes and solutions utilized by Amazon. * Assess areas for privacy program improvement and implement solutions.* Consult on the development of business requirements for new system implementations and enhancements. * Draft written narratives to communicate obligations, risk analyses, and recommendations. * Inventory risk and compliance obligations in a governance, risk and compliance (GRC) system framework. * Prepare other supporting documentation such as manager and employee communications, FAQs, and standard operating processes. * Respond to questions and troubleshoot issues. * Manage other risk and compliance related projects, as needed, to systematically reduce privacy risks. * Ability to travel up to 10% including international destinations.BASIC QUALIFICATIONS* Significant experience in a privacy, legal, compliance or risk management role* BA/BS degree or equivalent experience ...

We are seeking a detail-oriented Quality Auditor to join our team at AGI-DS. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training.Key job responsibilitiesConduct quality audits on individual workflows and units delivered by Data AssociatesCoach and calibrate Data Associates co-located at your site to improve performanceProvide detailed insights on Data Associate-level quality and identify root causes of issuesPerform manual reviews to validate automated quality measurement systemsDocument and report quality findings accurately and efficientlyPerform audits to support deep dives and escalations as neededMaintain strict compliance with quality standards and proceduresWork closely with Quality Audit Managers to improve processes and implement best practicesContribute to continuous improvement initiatives within the quality assurance teamBASIC QUALIFICATIONSExperience in Machine Learning/Data Labeling operationsStrong analytical and problem-solving skillsExcellent attention to detailStrong communication skills in Business EnglishExperience with quality management tools and systemsAbility to work in strict compliance with internal guidelinesUnderstanding of data annotation and quality metricsProficiency in Excel and data analysis toolsAbility to work effectively in a team environmentAdaptability to changing priorities and workloads ...

The Amazon Dash Cart team is seeking a highly motivated Research Scientist (Level 5) to join our team that is focused on building new technologies for grocery stores. We are a team of scientists invent new algorithms (especially artificial intelligence, computer vision and sensor fusion) to improve customer experiences in grocery shopping.The Amazon Dash Cart is a smart shopping cart that uses sensors to keep track of what a shopper has added. Once done, they can bypass the checkout lane and just walk out. The cart comes with convenience features like a store map, a basket that can weigh produce, and product recommendations. Amazon Dash Cart’s are available at Amazon Fresh, Whole Foods. Learn more about the Dash Cart at https://www.amazon.com/b?ie=UTF8&node=21289116011.Key job responsibilitiesAs a research scientist, you will help solve a variety of technical challenges and mentor other engineers. You will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.About the teamAmazon Dash cart allows shoppers to checkout without lines — you just place the items in the cart and the cart will take care of the rest. When you’re done shopping, you leave the store through a designated dash lane. We charge the payment method in your Amazon account as you walk through the dash lane and send you a receipt. Check it out at https://www.amazon.com/b?ie=UTF8&node=21289116011.Designed and custom-built by Amazonians, our Dash cart uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of quantitative field research experience- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products- Experience analyzing both experimental and observational data sets ...

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. That is why Amazon is investing in generative AI (GenAI) and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for a Research Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, language engineers, and other scientists.Key job responsibilitiesSpecifically, the Research Scientist will: • Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.• Clean, analyze and select speech/language/other data to achieve goals• Build and test models that elevate the customer experience • Collaborate with colleagues from science, engineering and business backgrounds• Present proposals and results in a clear manner backed by data and coupled with actionable conclusions• Work with engineers to develop efficient data querying infrastructure for both offline and online use casesBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of quantitative field research experience- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products- Experience in Python, Perl, or another scripting language- Experience with various machine learning techniques and parameters that affect their performance- Experience analyzing both experimental and observational data sets ...

Amazon Ads operates at the intersection of eCommerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of devices. If you’re interested in joining a rapidly growing organization working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.We’re looking for a results oriented Account Manager who is passionate about partnering with our advertisers, educating them and helping to solve ambiguous business problems, mitigating risks before they become roadblocks. As an Account Manager, you manage and deliver against complex advertiser goals and problems to drive revenue and achieve revenue targets. You nurture customer relationships and create revenue opportunities from the advertisers you own. You’ll not only dive deep into data to understand trends, but also communicate the “why” behind results and make actionable recommendations to internal and external stakeholders. Additionally, you’ll be able to leverage Amazon’s proprietary data to provide strategic and personalized recommendations, influencing both your internal team and your external customer to facilitate them reaching their business goals. This role is highly collaborative, working with Creative, Senior Sales, Product, and Retail partners and will drive process improvement to gain efficiency and foster collaboration. The Account Manager’s strategic digital expertise and influence is considered critical to unlocking greater value and impact for our advertisers.Key job responsibilitiesResponsibilities• Become a knowledgeable partner on Amazon Advertising solutions• Develop annual brand and media strategies for growth based on overall advertiser goals/objectives• Develop campaign strategies and audience targeting recommendations per brand and product line• Evaluate KPIs and optimize campaign performance using a data driven approach• Perform in-depth data analysis to deliver actionable insights & recommendations that influence short term / long term digital media strategy• Educate advertisers on performance metrics, insights, and how to achieve greater results on Amazon• Work cross-functionally with sales and other Amazon partners to drive incremental revenue and increase advertiser satisfactionBASIC QUALIFICATIONS - 5+ years relevant experience in a client facing role including but not limited to digital marketing, analytics etc. - Experience in Omni-channel marketing, display, over-the-top (OTT), or search marketing - Adept at solving problems that span business and technology - Influence process improvement that scales broadly; inventing and simplifying within existing processes ...

The Devices and Services (D&S) Trust & Security team works to ensure that our devices and services are designed and implemented to the high standards required to maintain and enhance customer trust. Security and Privacy are paramount to maintaining trust and we need to continue to build trusted products, maintain and operate trusted environments, and advocate trust to customers and stakeholders. The team develops security automation for devices & services, performs penetration testing, and handles and tracks incident responses to resolution. The Trust team is responsible for enabling business growth and innovation while honoring data policies and controls that help protect customer trust. We are responsible for defining and executing on the security and privacy requirements across the entire organization.Key job responsibilities• Design and build reusable, maintainable, and performant software consistent with Amazon standard technologies (Java, JavaScript, React, AWS etc. ).• Adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.• Perform DevOps in a production environment by automating the design, coding, and deployment of infrastructure within an AWS environment. This includes developing CI/CD pipelines, instrumenting code to report relevant metrics, and building safe and efficient build processes.• Collaborate with Security Teams to understand the latest security best practices and incorporate them into the product design and development• Implement secure-by-design principles to ensure the new techniques and tooling are designed with security in mind from the ground up. This may include secure authentication and authorization, data encryption, input validation, and secure communication protocols• Collaborate with cross-functional teams (e.g. data scientists, product managers) to identify and solve complex AI/ML problems• Ensure AI/ML systems adhere to security, privacy, and ethical standards• Continuously monitor and improve the performance and reliability of AI/ML systems in production• Contribute to the development of reusable AI/ML frameworks and libraries• Build data pipelines and infrastructure to support the development and deployment of AI/ML applications• Work with big data technologies to build robust data pipelines, run complex queries, and leverage ETL (Extract, Transform, Load) tools such as SQL, AWS Glue, Athena, and PySpark.A day in the lifeCandidates must have a mix of communication and strong technical skills, comfortable white boarding security implementation techniques, and must be able to engage with different levels in the organization. Previous experience with Alexa is desired but not required, provided you have experience building production quality and secure technologies. You will get the opportunity to work directly with senior security and software engineers in Amazons AI Security organization, influencing their roadmaps and driving innovation.About the teamDiverse 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 buildexperience 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC 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- 3+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience ...

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.Key job responsibilities• Deliver accurate weekly reporting on pipeline and customer spend adoption, including account status updates and insights learned during deployment.• Provide strategic account engagement that helps customers implement solutions that solve industry-specific procurement challenges.• Drive and accelerate spend adoption by advising customers on best practices for using Amazon Business solutions.• Focus on automating service needs for customers, while working with Product and Technical teams to develop solutions that will increase solution adoption.•Relay market needs and requirements back to internal Amazon teams, including Product, Technical, and Category Management teams.About the teamThe Amazon Business Nonprofit team is committed to helping charitable organizations and faith-based institutions to advance their missions and save time and money by purchasing supplies through an Amazon Business account.Account Representatives are responsible for initiating and developing strong relationships with the most impactful nonprofit customers in our communities. They balance their time discovering and onboarding net new business customers, in addition to expanding and enhancing the Amazon Business footprint with existing customers. The candidate will collaborate closely with customers to understand their procurement requirements and challenges, and then coordinate with internal Amazon teams to determine the best solution.BASIC QUALIFICATIONS- BA/BS degree or equivalent work experience required- 5+ years of B2B and/or Enterprise sales experience- Demonstrated track record of owning the sales life cycle including identifying, developing, negotiating, and closing opportunities across a wide spectrum of customer engagement levels- Demonstrated track record of positioning and selling solutions to new and existing customers and market segments ...

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.Key job responsibilities• Deliver accurate weekly reporting on pipeline and customer spend adoption, including account status updates and insights learned during deployment• Provide strategic account engagement that helps customers implement solutions that solve industry-specific procurement challenges• Drive and accelerate spend adoption by advising customers on best practices for using Amazon Business solutions• Focus on automating service needs for customers, while working with Product and Technical teams to develop solutions that will increase solution adoption• Relay market needs and requirements back to internal Amazon teams, including Product, Technical, and Category Management teamsAbout the teamThe Amazon Business Nonprofit team is dedicated to developing solutions inclusive of an expanded online store that combines the selection, convenience, and value customers have come to know and love from Amazon, with new features and unique benefits tailored to 501c3 Nonprofit customers. The ideal candidate will have relevant B2B consultative sales experience and have a proven track record of meeting and exceeding program goals and revenue targets.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 5+ years of B2B or enterprise sales with a focus on hunting new business experience- Demonstrated track record of owning the sales life cycle including identifying, developing, negotiating, and closing opportunities across a wide spectrum of customer engagement levels- Demonstrated track record of positioning and selling solutions to new and existing customers and market segments ...

Are you passionate about formal verification of programs? The Automated Reasoning Group is looking for a Senior Applied Scientist to develop and deliver innovative, scalable code reasoning capabilities to address customers needs for provably correct code. You will be part of a larger organization that develops formal software analysis tools (e.g., Dafny, Lean) and applies them to software at all levels of abstraction from assembler through high-level programming languages. You will work with a team of world class automated reasoning experts to deliver code reasoning technology that is powerful yet accessible to all developers.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- Experience programming in Java, C++, Python or related language- Experience in formal verification tools and techniques, such as theorem provers (Dafny, Lean), SAT-SMT solvers ...

The Artificial General Intelligence (AGI) Information team is looking for a passionate, and talented Senior Applied Scientist with a strong experience in cutting-edge LLM technologies. We are a hybrid team of scientists and engineers focused on building visuals (composed of graphics, images, text, etc.) that are integrated into conversational question answering experiences. Key research areas for the team include agentic workflows and code generation capabilities of large language models (LLMs) for generation of visual responses to questions.If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience working in high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions.Key job responsibilities- Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI).- Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs.- Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions. About the teamIt's an exciting time to be a leader in AI research. In Amazon's AGI Information team, you can make your mark by improving information-driven experiences of Amazon customers worldwide. Your work will directly impact our customers in the form of products and services that make use of language and multimodal technology!BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

The WWGST (Worldwide Grocery Stores Tech) teams are seeking a highly motivated Senior Applied Scientist (Level 6) to join our team that is focused on building new technologies for grocery stores. We are a team of applied scientists invent new algorithms (especially artificial intelligence, computer vision and sensor fusion) to improve customer experiences in grocery shopping such as Dash Cart or Self-CheckOut. The Amazon Dash Cart is a smart shopping cart that uses sensors to keep track of what a shopper has added. Once done, they can bypass the checkout lane and just walk out. The cart comes with convenience features like a store map, a basket that can weigh produce, and product recommendations. Amazon Dash Cart’s are available at Amazon Fresh, Whole Foods. Learn more about the Dash Cart at https://www.amazon.com/b?ie=UTF8&node=21289116011.Key job responsibilitiesAs a Senior Applied Scientist, you will help solve a variety of technical challenges and mentor other junior scientists. You will be leader of the applied science team to resolve the hard problems. You will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.About the teamDiverse 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.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- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Are you looking for the chance to work in a fast-paced environment while supporting cutting-edge technology services used by millions of customers? We are seeking a dynamic HR professional to join our Amazon Web Services (AWS) Human Resources team as a Sr. HRBP for Foundational Data Services (FDS). You’ll partner the VP, AWS Migrations and Modernization and the Director, File and Object Storage Services. Modernization and Migrations organization is reimagining how customers migrate their data, workloads, and applications to the cloud using AI, making it simpler and faster to reap the benefits of being on the cloud. Customers use AWS storage services to reliably and cost-effectively store and access their data at scale, enabling a wide range of applications and workloads, from big data analytics to machine learning, with the flexibility and durability required for modern computing needs.The ideal candidate will have experience partnering with senior leaders on their people agendas spanning talent, culture, workforce, and transformation. We are looking for an HR practitioner with deep curiosity for the business and the ability to leverage that understanding to support the organizations' future strategy and talent needs. You'll help business leaders make data-driven decisions, lead and facilitate change, and deliver high-impact solutions in a rapidly evolving, complex environment. You’ll also partner closely with talent acquisition, DEI, workforce planning, compensation, and other teams to build strong teams and deliver on cross-company initiatives.Key job responsibilities• Set HR strategy and goals, integrating Amazon/AWS-wide-priorities.• Partner with the business on organizational design, workforce planning, succession planning, skills assessment and development, and other initiatives to optimize for business objectives.• Provide impactful coaching to guide business leaders and senior managers.• Leverage data-driven analysis to influence business partners with compelling recommendations.• Partner with global HR teams to support business unit needs and contribute to global HR initiatives.• Lead HR projects and key initiatives in collaboration with peers across the organization.BASIC QUALIFICATIONS· Bachelor’s degree, or equivalent experience · 7+ years of experience in an HR generalist leadership role· Strong judgment and experience coaching senior leaders. · Broad experience and specific knowledge of human resource theory, including employee relations, learning, and performance management. · Excellent written and verbal communication; high quality document preparation, data visualization, and facilitation skills ...

The AGI Structured Information Retrieval team develops the services required to query the Amazon Knowledge Graph (AKG), an LLM-optimized, foundational component in the AGI tech stack, using Natural Language.As our Sr. MLE, you'll have the power to lead the charge in developing algorithms and modeling techniques to push the boundaries of model training and deployment at scale.Key job responsibilities* Ability to quickly learn cutting-edge technologies and algorithms in the field of ML to participate in our journey to build the best NL to Structured retrieval service.* Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying ML models for real-world applications.* Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.* Work closely with Applied scientists to develop and scale machine learning models.A day in the lifeAs a Senior MLE, you will be working with a strong team of engineers and collaborating with applied scientists to develop novel processes for constructing and enhancing structured information retrieval systems; and enable high precision/recall & low latency access to knowledge in AKG.For this role we expect: - 5+ years of professional software development experience in distributed systems with emphasis on ML infrastructure- 5+ years of current programming experience building ML infrastructure using languages such as Python, C++ or Rust- Hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc- Deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up- Knowledge of emerging AI hardware accelerators and architectures- Experience with containerization and orchestration technologies (Docker, Kubernetes)BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering team ...

Work on State of the Art runtime systems hosting cutting edge Large Language Models (LLM). We work in a fast paced dynamic environment to rapidly experiment and deliver scaled runtime solutions based on cutting edge experiments and research in the LLM space.Key job responsibilities- Design, develop, test and deploy inference solutions for high-end LLMs- Explore emerging inference optimization techniques- Collaborate with cross-functional teams of engineers and scientists to identify and solve complex problems- Mentor and guide junior engineers, and contribute to the overall growth and development of the teamBASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering team ...