Boston

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.Amazon Business is a B2B marketplace on Amazon.com that gives businesses of all sizes access to hundreds of millions of products in a shopping experience built for businesses. The Amazon Business teams are dedicated to developing solutions inclusive of an expanded marketplace that combines the selection, convenience, and value customers have come to know and love from Amazon.Account Executives are responsible for both building and managing their book of business by leveraging solution-selling, traditional and digital prospecting tactics, and supporting long-term strategic customer relationships following the initial prospect/onboarding and stabilization period. The primary areas of responsibility include prospecting, expert knowledge of features and products to create a personalized solution for each institution (feature adoption), and developing relationships with buying decision makers across functional areas such as Information Technology, Facilities, and more.The Account Executive will ensure recommended solutions meet our customer’s procurement needs and will recommend approaches and alternatives that fit their environment, including but not limited to contracting and competitive requirements unique to public institutions, eProcurement integration, advanced payment, and automated reconciliation processes. The candidate will work closely with customers to manage deployment and ensure that our solutions are successfully adopted. The ideal candidate will have relevant consultative sales experience and have a proven track record of meeting and exceeding program goals and revenue targets.This is an Inside Sales role with limited travel 10% (tradeshows and customer meetings). This role is focused on the mid-market segment, working with customers and prospects in the Financial Services space.Key job responsibilitiesDeliver accurate weekly reporting on pipeline and customer spend adoption, including account status updates and insights learned during deploymentProvide strategic account engagement that helps customers implement solutions that solve industry-specific procurement challengesDrive and accelerate spend adoption by advising customers on best practices for using Amazon Business solutionsFocus on automating service needs for customers, while working with Product and Technical teams to develop solutions that will increase solution adoptionRelay market needs and requirements back to internal Amazon teams, including Product, Technical, and Category Management teamsBASIC QUALIFICATIONS- BA/BS degree or equivalent work experience- 3+ years of B2B sales experience- Demonstrated track record of successfully identifying, developing, negotiating, and closing opportunities across a wide spectrum of customer engagement levels- Demonstrated track record of successfully positioning and selling solutions to new and existing customers and market segments ...

Innovation is at the core of what we do. We believe that by removing and reducing the barriers that prevent people from taking their medications, we can help customers conveniently get the medications they need, when they need them and take them as prescribed. We have provided customers with the ability to find transparent and simple pricing, receive 24/7 customer service support, and have their meds delivered to their doorsteps while creating programs and products that embody our mission and position ourselves in becoming the world’s safest and fastest online pharmacy. We are looking for a Account Manager, B2B to join us on our journey to make it drastically easier for customers to find, choose, afford, and engage with the services, products, and professionals they need to get and stay healthy! #everydaybetterKey job responsibilitiesKey job responsibilities:• Implementation of net-new Partner programs• Existing program optimization and opportunity lead generation• Health and ROI of existing programs• Oversee project scheduling and timely delivery• Provide timely, clear and concise and complete communications to Partner and Amazon Pharmacy Leadership• Assess program risks, anticipate challenges, and request support in escalation management when necessary• Relay market needs and requirements back to internal Amazon Pharmacy teamsBASIC QUALIFICATIONS- 5+ years program or services delivery experience- B2B industry preferred- BA/BS degree- Desire to work in fast-paced, challenging environment- Excellent written and verbal communication skills and the ability to effectively advise senior leadership- Ability to prioritize and demonstrate relentless discipline in achieving goals- Proven ability to lead customer engagements- Strong ownership, bias for action and willingness to roll-up your sleeves- Ability to travel to Partner sites when required by project scope ...

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 and the responsible development and deployment of large language models (LLMs) across all of our businesses. We are looking for highly motivated and talented candidates who will review generated data demonstrations and provide human feedback to train LLMs. The ideal candidate must demonstrate strong analytical and communication skills, attention to details, and a commitment to excellence.This is a nine month fixed temporary assignmentAs an AI Content Writer you will be responsible for reviewing machine and human generated demonstrations in order to generate preference data for training purposes. The tasks will be clearly defined, but will require a high degree of judgement in each case. The candidate will work closely with support teams, review guidelines, suggest updates to those guidelines, and engage in team calibrations to ensure the highest quality of data generation. You will also be a part of other initiatives across process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to) the below:• Work on clearly defined use cases, but leverage a high degree of judgement to produce preference data.• Operate with autonomy• Leverage and demonstrate expertise in a wide array of competencies such as (but not limited to) Computer Science, Literature, Music, Mathematics, Economics and Travel• Identify issues and proactively report operational challenges• Identify process improvement opportunities (enhancements and pain points) at process/ function level• Demonstrate the ability to support small to medium scale process improvement projects• Contribute in mentoring / training junior data associates on an ongoing basis• Troubleshoot issues related to process and conduct root cause analysis if requiredKey job responsibilities• Create original and engaging content across multiple work types to train LLMs.• Write clear, concise, factually and grammatically correct responses that adheres to the Standard Operation Procedures (SOPs) and style guidelines to create visually appealing and effective content.• Proofread and edit content to ensure high-quality standards, accuracy, and consistency.• Research and verify content quality based on Content Guidelines. Approve or reject contents based on pre-defined guidelines and explain logical reasoning behind approve/reject decision.• Perform quality checks by reviewing and proofreading; provide feedback and training to coworkers and cross-company teams to ensure that quality standards are met.• Collaborate with cross-functional teams and other business units to monitor quality progress, investigate quality variations, develop and implement measures to drive quality improvement.• Develop a deep understanding of the subject matter expert (SMEs) for processes on the floor and collaborate with stakeholder teams to test new SOPs to gather insights, validate information, and ensure accuracy in content creation.• Support our leadership, business, and technical teams by actively participating in training, project/program management, etc., based on the group's needs and your own skills and inclinations.BASIC QUALIFICATIONS• Proven work experience as a Content Writer, Copywriter, or similar role.• Strong proficiency in English. Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension. ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to these questions and you'll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers experiences in ways we can't even image yet. We invent new improvements every day. This role is a 6 month co-op to join AR full time (40 hours/week) from July to December 2024. Amazon Robotics co-op opportunities will be based in the Greater Boston Area, in our two state-of-the-art facilities in Westborough and North Reading, MA. Both campuses provide a unique opportunity for interns to have direct access to robotics testing labs and manufacturing facilities. In this role you will work closely with simulation engineers building virtual robotic worlds. You will bring these worlds to life while applying technologies such as Unity and Blender. You will be responsible for creating levels and art assets (2D and 3D) for a real-time graphics application. If this sounds exciting to you, please read on and apply! Current projects underway in hardware and software include autonomous movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more.Responsibilities of the Technical Artist co-op may include:- Liaising between heads of programming and design teams- Researching and developing technical tools for a project- Setting up workflows of art production- Supporting artists and engineers in the 3D art pipeline- Assisting in asset performance and validation- Solving complex technical issues during development- Deciding on what software and tools are required for Digital Twin production- Developing and maintaining resources and pipelines along with programmers- Maintaining technical documentationBASIC QUALIFICATIONS- Enrolled in a degree program in Computer Science, Visual Effects, Graphic Art, Animation, or related field with at least one semester of school left after completion of co-op.- Must be eligible and available for a full-time (40h / week) 6-month co-op between July to December 2024.- Substance Designer or substance painter- Experience with Maya, Houdini or Blender- Experience with Real-Time Photoreal shaders in any Game Engine- Good Understanding of PBR and MDL (Material Definition Language) ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and innovative applied scientist with a strong background in deep learning and speech processing techniques. You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of an industry-leading product used every day by people you know. As an Applied Scientist, you will leverage Amazon’s heterogeneous data sources and large-scale computing resources to develop novel machine learning algorithms to advance the state of the art in speech and audio processing.Key job responsibilities· Conduct applied research project(s) effectively and know when to ask for help and when to work independently· Engage with an experienced cross-disciplinary staff to conceive and design innovative solutions for consumer products.· Actively participate and contribute to research activities including publications and patents· Work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test.· Be proactive, flexible and able to succeed within an open collaborative peer environmentBASIC QUALIFICATIONS- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience- 2+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and innovative 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 an Applied Scientist with 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 QUALIFICATIONS- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience with deep learning techniques- Experience with LLM model training and fine-tuning ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with multimodal systems. Key job responsibilitiesAs an Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) in Computer Vision.About the teamThe AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language ...

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.Key job responsibilitiesAs an Applied Scientist, you will-- Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges- Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production- Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholder. Publish novel developments in internal and external papers, forums, and conferences- Provide customer and market feedback to Product and Engineering teams to help define product directionAbout the teamABOUT AWS:Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. 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.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career 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- Master's degree in computer science, computer engineering, or related field- 2+ years of building machine learning models or developing algorithms for business application experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Experience with neural deep learning methods and machine learning ...

As part of Alexa CAS team, our mission is to provide scalable and reliable evaluation of the state-of-the-art Conversational AI. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), to invent and build end-to-end evaluation of how customers perceive state-of-the-art context-aware conversational AI assistants.A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Generative AI solutions with LLMs, including Supervised Fine-Tuning (SFT), In-Context Learning (ICL), Learning from Human Feedback (LHF), etc.As an Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel methods for evaluating conversational assistants. You will analyze and understand user experiences by leveraging Amazon’s heterogeneous data sources and build evaluation models using machine learning methods.Key job responsibilities- Design, build, test and release predictive ML models using LLMs- Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, and transformation.- Collaborate with colleagues from science, engineering and business backgrounds.- Present proposals and results to partner teams in a clear manner backed by data and coupled with actionable conclusions- Work with engineers to develop efficient data querying and inference infrastructure for both offline and online use casesAbout the teamCentral Analytics and Research Science (CARS) is an analytics, software, and science team within Amazon's Conversational Assistant Services (CAS) organization. Our mission is to provide an end-to-end understanding of how customers perceive the assistants they interact with – from the metrics themselves to software applications to deep dive on those metrics – allowing assistant developers to improve their services. Learn more about Amazon’s approach to customer-obsessed science on the Amazon Science website, which features the latest news and research from scientists across the company. For the latest updates, subscribe to the monthly newsletter, and follow the @AmazonScience handle and #AmazonScience hashtag on LinkedIn, Twitter, Facebook, Instagram, and YouTube.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience building machine learning models or developing algorithms for business application- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience with programming languages such as Python, Java, C++- Hands-on experience and deep understanding of the Large Language Models architectures ...

The Automated Reasoning Group is looking for an Applied Scientist with interest in building scalable machine learning systems. You will be part of a world-class team building the next generation of neuro-symbolic tools and services by combining Automated Reasoning and Machine Learning.AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things.You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills, are self-driven and own the delivery of high quality results in a fast-paced environment.Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/As an Applied Scientist in AWS AI, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will:* Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems using Automated Reasoning and Machine Learning* Apply software engineering best practices to ensure a high standard of quality for all team deliverables* Work in an agile, startup-like development environment, where you are always working on the most important stuff* Deliver high-quality scientific artifacts* Work with the team to help drive business decisionsKey job responsibilities* Design and implement scalable neuro-symbolic systems using automated reasoning and machine learning.* Collaborate closely with internal and external users to understand their requirements for AI agents and guardrails.* Proactively identify and explore new opportunities for deploying and leveraging neuro-symbolic solutions across various domains.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.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.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.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.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- 1+ years of building models for business application experience- PhD- 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 ...

The Automated Reasoning Group is looking for an Applied Scientist with interest in building scalable machine learning systems. You will be part of a world-class team building the next generation of neuro-symbolic tools and services by combining Automated Reasoning and Machine Learning.AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things.You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills, are self-driven and own the delivery of high quality results in a fast-paced environment.Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/As an Applied Scientist in AWS AI, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will:* Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems using Automated Reasoning and Machine Learning* Apply software engineering best practices to ensure a high standard of quality for all team deliverables* Work in an agile, startup-like development environment, where you are always working on the most important stuff* Deliver high-quality scientific artifacts* Work with the team to help drive business decisionsKey job responsibilities* Design and implement scalable neuro-symbolic systems using automated reasoning and machine learning.* Collaborate closely with internal and external users to understand their requirements for AI agents and guardrails.* Proactively identify and explore new opportunities for deploying and leveraging neuro-symbolic solutions across various domains.About the teamWhy 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.AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.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.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- PhD OR a Masters Degree with 4+ years of industry experience related to the field/role.- Experience with automated reasoning tools including automated theorem provers, program verifiers, interactive proof assistants. ...

Amazon is looking for an Applied Scientist to help build the next generation of sourcing and vendor experience systems. The Optimal Sourcing Systems (OSS) owns the optimization of inventory sourcing and the orchestration of inbound flows from vendors worldwide. We source inventory from thousands of vendors for millions of products globally while orchestrating the inbound flow for billions of units. Our goals are to increase reliable access to supply, improve supply chain-driven vendor experience, and reduce end-to-end supply chain costs, all in service of maximizing Long-Term Free Cash Flow (LTFCF) for Amazon.As an Applied Scientist, you will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including optimization, causal inference, and machine learning/deep learning. Some critical research areas in our space include modeling buying decisions under high uncertainty, vendors' behavior and incentives, supply risk and enhancing visibility and reliability of inbound signals.Key job responsibilitiesYou will be a science tech leader for the team. As a Applied Scientist you will:- Set the scientific strategic vision for the team. You - - lead the decomposition of problems and development of roadmaps to execute on it.- Set an example for other scientists with exemplary scientific analyses; maintainable, extensible, and well-tested code; and simple, intuitive, and effective solutions.- Influence team business and engineering strategies.- Exercise sound judgment to prioritize between short-term vs. long-term and business vs. technology needs.- Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.- Foster collaborations between scientists across Amazon researching similar or related problems.- Actively engage in the development of others, both within and outside the team.- Engage with the broader scientific community through presentations, publications, and patents.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree- Experience programming in Java, C++, Python or related language- Experience with deep learning methods and machine learning ...

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 candidates who just don’t think outside the box, but make the box 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 guidelines as customer privacy is our top priority • Work with a wide range of different types of data including but not limited to text, speech, image, and video• Deliver high-quality labelled data, utilizing in-house tools, software, and guidelines to meet our Key Performance Indicators• Serve as a subject matter expert for Machine Learning (ML) data workflows.• Demonstrate proficiency in research, ranking responses based on factual and grammatical accuracy, and creating grammatically correct text, speech, image, and video annotation• Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.• Rapidly switch from one category of work to another all while maintaining attention to detail• Demonstrate expertise in handling end-to-end data execution processes related to LLM labelling tasks• Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs• Identify and escalate operational issues within day-to-day process, standard operating procedures and tools.• Suggest ways to invent and simplify and/or unblock operational workflowsA day in the lifeWe are looking for a talented individuals to assess and improve our AI model’s performance in everyday situations by undertaking foundational labeling functions, such as dialogue evaluation on speech, text, audio, and video data. Your ability to concentrate, multi-task, and sustain a strong attention to detail allow you to deliver high-quality work as well as maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use AI. An inner drive, individuality, and a creative mind are extremely beneficial.BASIC QUALIFICATIONS• An Associate’s Degree or related work experience• 2+ years of professional work experience with demonstrated task execution ability • Excellent written and verbal communication of the English Language• Excellent computer skills, including MS Office Suite, with good typing speed (> 50 wpm and above) • Proven capacity to leverage open-source resources effectively for comprehensive research purposes• Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy• A sense of ownership and drive, as well as a willingness to accept the challenge of daily deadlines • This role requires candidates to be onsite full time ...

Sales, Marketing and Global Services (SMGS)AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? AWS Enterprise Support, Technical Account Managers (TAM) support our customers’ creative and transformative spirit of innovation across all technologies, including Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role, but rather an opportunity to be the principal technical advisor and ‘voice of the customer’ to organizations ranging from start-ups to Fortune 500 enterprises.A TAM provides consultative architectural and operational guidance delivered in the context of customer’s applications and use-cases to help them achieve the greatest value from AWS. A TAM will work with their customer to provide tailored engagements including Strategic Business Reviews, Security Improvement Programs, guided Well-Architected reviews, Cost Optimization workshops, and a range of proactive services. TAMs will consult on architecture, governance, security, and operations, including cost management and other pillars of building on AWS.Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer’s environment, and drive discussions with senior leadership regarding incidents, trade-offs, support and risk management.You will provide advocacy and strategic technical guidance to help plan and build solutions using best practices, and proactively keep your customers’ AWS environments operationally healthy and resilient. The close relationships developed with your customers will allow you to understand their business/operational needs and technical challenges, and help them achieve the greatest value from AWS. This position will require the ability to travel 10% or more as needed.The TAM is the centerpiece of value to our Enterprise Support customers. If you wish to be at the forefront of innovation, come join us!About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.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.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 & 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- Bachelor’s Degree in Computer Science, Math, or related discipline, and 2+ years of equivalent work experience or 4+ years of related work experience.- 2+ years of technical engineering experience- Experience in Information Technology operations- Bilingual in English and Mandarin ...

Innovation is at the core of what we do. We believe that by removing and reducing the barriers that prevent people from taking their medications, we can help customers conveniently get the medications they need, when they need them and take them as prescribed. We have provided customers with the ability to find transparent and simple pricing, receive 24/7 customer service support, and have their meds delivered to their doorsteps while creating programs and products that embody our mission and position ourselves in becoming the world’s safest and fastest online pharmacy. Amazon Pharmacy is seeking an experienced business developer to establish and manage critical relationships with pharmaceutical manufacturer services providers (Hubs) and mid-market branded pharmaceutical manufacturers. This position will manage strategic opportunities and partnerships on behalf of Amazon Pharmacy to drive growth and foster patient-centric initiatives for manufacturer partners. The Business Developer will be instrumental in fostering new pharmacy relationships with Hubs and manufacturers that desire innovation and an easy customer experience. This role will be responsible for attracting and winning new business partners. This role will support and execute on the Amazon Pharmacy vision, by driving the growth and profitability of the business. Within the first year this individual contributor will grow business by establishing business relationships with Hubs and manufacturers with the goal of winning business. The business developer will manage the entire sales cycle. The Business Developer will work with a dynamic set of pharmacy leaders across multiple departments including, but not limited to Pharmacy Operations, Marketing, Finance, Data Analytics, Product and Tech. #EverydaybetterKey job responsibilities- Establish new business opportunities with manufacturer services providers (Hubs) and mid-market branded pharmaceutical manufactures - Educate potential clients about innovative new features at Amazon Pharmacy- Seek opportunities to participate in Hub programs as a dispensing pharmacy partner- Contribute to request for proposals (RFPs)- Manage the sales process for new business- Contribute to the continued evolution of our product and services offering as a SME in the Hub services and branded pharmaceutical manufacture industryBASIC QUALIFICATIONS- 5+ years of developing, negotiating and executing business agreements experience- 5+ years of professional or military experience- Bachelor's degree- Experience developing strategies that influence leadership decisions at the organizational level- Experience managing programs across cross functional teams, building processes and coordinating release schedules ...

Sales, Marketing and Global Services (SMGS)AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? AWS Enterprise Support, Technical Account Managers (TAM) support our customers’ creative and transformative spirit of innovation across all technologies, including Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role, but rather an opportunity to be the principal technical advisor and ‘voice of the customer’ to organizations ranging from start-ups to Fortune 500 enterprises.The TAM role is not directly hands on keyboard within the customer’s environment for troubleshooting customer support issues, rather you will work with appropriate engineers and service teams to see issues through to resolution. More importantly you will work proactively to help craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more.Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer’s environment, and drive discussions with senior leadership regarding incidents, trade-offs, support and risk management.You will provide advocacy and strategic technical guidance to help plan and build solutions using best practices, and proactively keep your customers’ AWS environments operationally healthy and resilient. The close relationships developed with your customers will allow you to understand their business/operational needs and technical challenges, and help them achieve the greatest value from AWS. This position will require the ability to travel 10% or more as needed.The TAM is the centerpiece of value to our Enterprise Support customers. If you wish to be at the forefront of innovation, come join us!About the teamAbout UsWhy AWS?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.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.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.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 & 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- Bachelor’s Degree in Computer Science, Math, or related discipline, and 2+ years of equivalent work experience or 4+ years of related work experience.- 2+ years of technical engineering experience- Experience in Information Technology operations ...

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 and the responsible development and deployment of large language models (LLMs) across all of our businesses. We are looking for highly motivated and talented candidates who will review generated data demonstrations and provide human feedback to train LLMs. The ideal candidate must demonstrate strong analytical and communication skills, attention to details, and a commitment to excellence.This is a nine month fixed temporary assignmentAs an AI Content Writer you will be responsible for reviewing machine and human generated demonstrations in order to generate preference data for training purposes. The tasks will be clearly defined, but will require a high degree of judgement in each case. The candidate will work closely with support teams, review guidelines, suggest updates to those guidelines, and engage in team calibrations to ensure the highest quality of data generation. You will also be a part of other initiatives across process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to) the below:• Work on clearly defined use cases, but leverage a high degree of judgement to produce preference data.• Operate with autonomy• Leverage and demonstrate expertise in a wide array of competencies such as (but not limited to) Computer Science, Literature, Music, Mathematics, Economics and Travel• Identify issues and proactively report operational challenges• Identify process improvement opportunities (enhancements and pain points) at process/ function level• Demonstrate the ability to support small to medium scale process improvement projects• Contribute in mentoring / training junior data associates on an ongoing basis• Troubleshoot issues related to process and conduct root cause analysis if requiredKey job responsibilities• Create original and engaging content across multiple work types to train LLMs.• Write clear, concise, factually and grammatically correct responses that adheres to the Standard Operation Procedures (SOPs) and style guidelines to create visually appealing and effective content.• Proofread and edit content to ensure high-quality standards, accuracy, and consistency.• Research and verify content quality based on Content Guidelines. Approve or reject contents based on pre-defined guidelines and explain logical reasoning behind approve/reject decision.• Perform quality checks by reviewing and proofreading; provide feedback and training to coworkers and cross-company teams to ensure that quality standards are met.• Collaborate with cross-functional teams and other business units to monitor quality progress, investigate quality variations, develop and implement measures to drive quality improvement.• Develop a deep understanding of the subject matter expert (SMEs) for processes on the floor and collaborate with stakeholder teams to test new SOPs to gather insights, validate information, and ensure accuracy in content creation.• Support our leadership, business, and technical teams by actively participating in training, project/program management, etc., based on the group's needs and your own skills and inclinations.Hourly Pay - $23.90/hrBASIC QUALIFICATIONS• Proven work experience as a Content Writer, Copywriter, or similar role.• Strong proficiency in English. Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension. ...

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 and the responsible development and deployment of large language models (LLMs) across all of our businesses. We are looking for highly motivated and talented candidates who will review generated data demonstrations and provide human feedback to train LLMs. The ideal candidate must demonstrate strong analytical and communication skills, attention to details, and a commitment to excellence.This is a nine month fixed temporary assignmentAs an AI Content Writer you will be responsible for reviewing machine and human generated demonstrations in order to generate preference data for training purposes. The tasks will be clearly defined, but will require a high degree of judgement in each case. The candidate will work closely with support teams, review guidelines, suggest updates to those guidelines, and engage in team calibrations to ensure the highest quality of data generation. You will also be a part of other initiatives across process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to) the below:• Work on clearly defined use cases, but leverage a high degree of judgement to produce preference data.• Operate with autonomy• Leverage and demonstrate expertise in a wide array of competencies such as (but not limited to) Computer Science, Literature, Music, Mathematics, Economics and Travel• Identify issues and proactively report operational challenges• Identify process improvement opportunities (enhancements and pain points) at process/ function level• Demonstrate the ability to support small to medium scale process improvement projects• Contribute in mentoring / training junior data associates on an ongoing basis• Troubleshoot issues related to process and conduct root cause analysis if requiredKey job responsibilities• Create original and engaging content across multiple work types to train LLMs.• Write clear, concise, factually and grammatically correct responses that adheres to the Standard Operation Procedures (SOPs) and style guidelines to create visually appealing and effective content.• Proofread and edit content to ensure high-quality standards, accuracy, and consistency.• Research and verify content quality based on Content Guidelines. Approve or reject contents based on pre-defined guidelines and explain logical reasoning behind approve/reject decision.• Perform quality checks by reviewing and proofreading; provide feedback and training to coworkers and cross-company teams to ensure that quality standards are met.• Collaborate with cross-functional teams and other business units to monitor quality progress, investigate quality variations, develop and implement measures to drive quality improvement.• Develop a deep understanding of the subject matter expert (SMEs) for processes on the floor and collaborate with stakeholder teams to test new SOPs to gather insights, validate information, and ensure accuracy in content creation.• Support our leadership, business, and technical teams by actively participating in training, project/program management, etc., based on the group's needs and your own skills and inclinations.Pay Rate: $23.90/hrBASIC QUALIFICATIONS• Proven work experience as a Content Writer, Copywriter, or similar role.• Strong proficiency in English. Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension. ...

Would you like a career that gives you opportunities to help customers change how they operate in today’s Digital Age and accelerate their cloud journey using Amazon Web Services (AWS)? Do you like to work on a variety of projects within some of the largest, most complex, enterprise customers at the forefront of exciting cloud adoption at scale, leading customer and partner teams to achieve repeatable AWS best practices?The Amazon Web Services Professional Services team is looking for a Customer Practice Manager (CPM) who can lead and support significant customer programs during the solution and sales pursuit stages. Our CPMs are accountable for helping enterprise customers develop a long-term AWS strategy. Together with customer teams and AWS partners, working closely with the Global Account Manager, the CPM oversees strategy execution in truly transformational, ground breaking projects.The CPM role is to act as a trusted advisor and AWS ambassador to senior stakeholders and enterprise teams within our largest customers to understand and help realize their critical business outcomes with AWS.AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.Key job responsibilities- Helping shape enterprise customers’ long-term, strategic, transformational roadmaps, having a high.- Bias for Action to Deliver Results in ProServe and Platform bookings in the near term.- Establishing Executive relationships across Business & Technology groups, becoming a strategic advisor and expert with deep knowledge of the cross-section of the customers’ business and available technology solutions.- Preparing and presenting technical and commercial proposals to (CxO) leaders that articulate accelerated business outcomes through cloud technologies.- Working with the AWS internal network, including specialist experts across AWS product and specialist resources as well as Account team, Partner team, Finance, and Legal.- Delivering on annual bookings targets with deal structure aligned with key customer goals and AWS Professional Services business objectives- Supporting scale through shared learnings and mechanisms across the Professional Services sales team.A day in the lifeAWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.The main focus of Professional Services is to help our customers with defining and accelerating their Cloud Journey using the Cloud Adoption Framework:- Digital Optimization - Helping our clients accelerate the migration of existing workloads and infrastructure into the cloud across multiple business units and regions- Digital Innovation - Defining new business applications and offerings making use of the latest powerful AWS capabilities such as; Data Analytics, IoT and Machine Learning.This customer facing role may require up to 50% travel to customer sites.About the teamAbout AWS:Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS- 8+ years of management consulting and IT experience with business, product, and digital transformation knowledge including overcoming challenges in customer-facing roles.- Experience with selling consulting/professional services with recurring revenue from accounts/territory.- Business development experience including multiyear, multiple service offerings with a total contract value of +10M agreements and familiarity with compliance & security standards across the enterprise IT landscape.- Experience with CRM systems and maintaining a clear and dependable view of pursuits, progress, and pipeline conversion- Experience assessing customer marketplace circumstances, organizational readiness, and C-Level willingness to initiate conversations that lead to broader strategic transformation programs. ...

This Data Engineering position is responsible for supporting the data pipelines & engineering needs for Alexa analytics and Machine Learning (ML) products. This Data Engineer will build and optimize logical data model and data pipelines for large, complex, datasets across a variety of Alexa analytics product(s), as well as be accountable for ongoing data quality, efficiency, testing, and maintenance. The Data Engineer should thrive and have demonstrated success in an environment which offers ambiguously defined problems, big challenges, and quick changes. They will influence large-size data solutions/access to dataset(s) within our team's architecture, advising product managers, program managers, and other engineers on trade-offs and courses of action.We are looking for a passionate data engineer to optimize the consumption of these very large data sources we require to generate unique insights. As a data engineering leader within Alexa, we look to you for design, implementation, and successful delivery of large-scale, critical, or difficult data solutions involving a significant amount of work. You will share in the ownership of the technical vision and direction for advanced analytics and insight products. You will be a part of a team of top technical professionals developing complex systems at scale and with a focus on sustained operational excellence. Where needed, you integrate your team’s data solutions with those owned by other teams. You influence your team’s technical and business strategy by making insightful contributions to team priorities and overall data approach. You take the lead in identifying and solving ambiguous problems, architecture deficiencies, or areas where your team bottlenecks the innovations of other teams. We are looking for people who are motivated by thinking big, moving fast, and changing the way customers use data to drive profitability. If you love to implement solutions to hard problems while working hard, having fun, and making history, this may be the opportunity for you.The Data Engineer we are looking for:- Has knowledge of recent advances in distributed systems (e.g. MapReduce, MPP architectures, and NoSQL databases). You are proficient in a broad range of data design approaches and know when it is appropriate to use them (and when it is not).- Knowledge of engineering and operational excellence best practices. Can make enhancements that improve data processes (e.g., data auditing solutions, management of manually maintained tables, automating, ad-hoc or manual operation steps).- Works with engineers to develop efficient data querying and modeling infrastructure.- Understands how to make appropriate data trade-offs. Can balance customer requirements with technology requirements. Knows when to re-use code. Is judicious about introducing dependencies.- Writing code that a Data Engineer or Software Development Engineer unfamiliar with the system can understand.- Can create coherent Logical Data Models that drive physical design.- Delivers pragmatic solutions. You do things with the proper level of complexity the first time (or at least minimize incidental complexity).- Understands how to be efficient with resource usage (e.g., system hardware, data storage, query optimization, AWS infrastructure etc.)- Collaboration with colleagues from multidisciplinary science, engineering and business backgrounds.- Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisionsAbout the teamOur team owns a self-service analytics platform used by Alexa & AGI developers to identify trends in Alexa performance, assess customer impact, and troubleshoot failure patterns. Our customers include: scientists building and debugging ML models, analysts and researchers measuring the customer experience, developers troubleshooting defects and failures, and data teams building business reports and visualizing metrics.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Knowledge of distributed systems as it pertains to data storage and computing ...