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We are seeking an experienced Senior Applied Scientist to develop innovative perception and machine learning solutions for robot workcells in Amazon Fulfillment centers. In this role, you will leverage advanced sensor technologies to develop and implement state-of-the art ML models to enable safe collaboration between human workers and robotic arms. Your solutions will allow Amazon to increase productivity and efficiency while prioritizing employee safety.Key job responsibilities* Design and implement advanced machine learning models for perception tasks such as object detection and scene understanding* Optimize and deploy the ML models on edge devices* Build and test prototype robotic workcell setups to validate the performance of the solution* Collaborate with cross-functional teams to provide inputs and recommendations for the optimal sensor suite to enable a robust solution* Collaborate with Amazon's robotics engineering and operations teams to understand their requirements and develop tailored solutions* Document the architecture, performance, and validation of the final systemA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 6+ years of building machine learning models for business application experience- Experience with neural deep learning methods and machine learning- Demonstrated expertise in computer vision and machine learning techniques for robotic perception ...

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? Thenread on!Key job responsibilitiesMaintain and follow strict confidentiality as customer privacy is our most important tenetWork with a range of different types of data including, but not limited to: text, speech, audio, image, and videoDeliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitmentto developing and deploying AI responsibly.Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.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 on daily operational deliverables 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 Standard Operating Procedure, 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 partof 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 beneficialBASIC QUALIFICATIONSAn Associate’s Degree or related work experienceC1+ or equivalent fluency in X language (Specify by location and locale)Strong business writing skills with ability to create reports, proposals, and professional correspondenceAdvanced reading comprehension with ability to analyze complex business documentsDeveloped analytical thinking and structured problem-solving capabilitiesStrong ability to interpret and implement detailed instructions across various projectsProficient research skills with experience gathering and synthesizing information from multiple sourcesProven attention to detail in managing complex tasks and documents ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? We apply advances in robotics and software to solve real-world problems that delight our customers' experiences in ways we can't even imagine yet. Amazon Robotics is located in the greater Boston area, the epicenter of robotics innovation. Our diverse team of engineers come from all over the world to design, test and build our dynamic fleet of robots and mechatronic systems. Having our offices, labs, test floors and factories all co-located means that we can design the hardware, write the code, test, build and watch it all come to life. This allows us to innovate quickly and on limitless ideas. Current advancements are underway in autonomous movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more.The Robotics Supply Chain organization sources a portfolio of robotics technology and is responsible for getting the right materials to the right place at the right time to support our network of global fulfillment and transportation solutions. It’s an operation that works cross-functionally with teams across Amazon globally, and is driven by data and metrics. The Supply Chain team is seeking a Sales Inventory and Operations Planning (SIOP) Manager to lead the monthly planning cycle for AR and create new similar cycles for other business units. The candidate will also expand the impact of SIOP and automate the suite metrics and analysis.The SIOP Manager owns the monthly reviews of supply and demand, creating and managing metrics that measure the health of the business. This role works cross functionally to summarize risks and mitigation plans to meet the customer's needs. The successful candidate for this position will have bias for action and will be driven to meet all service level goals related to technical, quality, and delivery requirements.Key job responsibilities - Lead the establishment of an inclusive culture within the Supply Chain Planning team. - Organize, lead content creation, and run the monthly SIOP meetings - Supervise performance metrics, promoting best practices to enhance overall team efficiency. - Drive process and tool improvements aligned with the team's strategic priorities. - Collaborate with cross-functional teams, including Field Service, Hardware Engineering, Logistics, Commodity Management, and Purchasing, to analyze and communicate the impacts of changes to the demand and supply plan. - Develop standardized operating procedures for integrated demand and supply planning processes, ensuring seamless alignment with new technology platforms. - Provide actionable recommendations for operational enhancements and identify key metrics/KPIs to measure impact.BASIC QUALIFICATIONS- 5+ years of program or project management experience- 5+ years of supply chain experience- Experience using data and metrics to determine and drive improvements- Experience owning program strategy, end to end delivery, and communicating results to senior leadership ...

Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers, which handle more individual items than any company in the world. We are combining computer vision, mobile robots, advanced end-of-arm tooling and high-degree of freedom movement to solve real-world problems at huge scale. Our team collaborates with a variety of customers across Amazon worldwide to conceive, develop, prototype and deploy a wide range of robotic systems. Within Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support. GO-AI’s Technology & Development Team is a cross-functional team of Business Intelligence Engineers, Data Engineers, Software Developers, and Technical Program Managers who are responsible for the technical strategy and delivery for GO-AI. Key job responsibilities• Support leadership decision-making by deep-diving into business hypotheses and anecdotes. • Design and automate ETL pipelines for business metrics. • Design insightful dashboards and reports for a senior leadership with a mixture of technical and non-technical backgrounds. • Research the most appropriate methodologies for a given analytical problem. • Contribute to key business documents. • Collaborate with stakeholders to understand business domains, requirements, and expectations. • Work with owners of data source systems to gain insights into capabilities and limitations.• Manage the timeline and deliverables of projects, anticipate risks and resolve issues. • Adopt best practices in reporting: data integrity, test design, validation, and documentation. • Have knowledge of Artificial Intelligence (AI) / Machine Learning (ML) and other industry solutions in this space to know when to apply what to solve business problems. • Excellence verbal and written communication skills. A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience building ETL pipelines and processes with large datasets- Experience using SQL to pull data from a database or data warehouse- Knowledge of data warehousing and data modeling- Bachelor's degree in engineering, computer science, mathematics, economics or relevant field ...

We are looking for an experienced and enthusiastic data engineering and insights professional with a proven track record of delivering influential solutions to complex and ambiguous problems. A practiced researcher, who uses data engineering, statistics, systems knowledge, and data visualization to guide decision making for cross-functional leadership teams. We are seeking a collaborative individual who can think holistically through multidimensional problems to understand how systems work together to identify and execute both tactical and strategic projects which drive improvements to robotic architecture or design.Key job responsibilitiesIn this role, you will support Amazon's newest robotic technologies through their Alpha, Beta, and General Availability phases. A day in the lifeYou will collaborate cross-functionally with engineering teams, program managers, and leaders throughout the organization to deliver projects aimed at characterizing and improving the performance of new robotic automation technology in Amazon's network of warehouses. In this role, you will use a combination of unified and disparate data sources to uncover insights delivered through decision-driving analytics white-papers and automated data visualizations to influence the development and deployment of cutting edge robotic technology. You will collaborate with Data Scientists, Data Engineers, and Program Managers to define and deliver world class analytics tools and insights to shape the robotic technology landscape.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamThe Amazon Robotics Business Intelligence, Analytics, and Data Science team discovers insights in vast and varied robotic data to support decision-making for engineering and operations customer teams. We collaborate with designers, software and hardware engineers, and operations teams to understand system performance, make feature and design trade-offs, and inform decisions on new applications of Amazon Robotics technology. We conduct relevant, insightful analysis and communicate the results through white papers and data visualizations. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.BASIC QUALIFICATIONS- 8+ years of professional or military experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with AWS technologies- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with theory and practice of design of experiments and statistical analysis of results- 5+ years of SQL experience ...

Are you excited about developing algorithms and models to power Amazon's next generation robotic storage systems? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for enthusiastic scientists for a variety of roles.The Research team at Amazon Robotics is seeking a passionate, collaborative, hands-on Applied Scientist to develop planning and scheduling algorithms to support Amazon's next generation robotic storage systems. The focus of this position workflow optimization and robot task-assignment. It includes designing and evaluating planning and scheduling algorithms using a combination of machine learning, reinforcement learning, and optimization methods as appropriate. This work spans from research such optimal decision making, to policy learning, to experimenting using simulation and modeling tools, to running large-scale A/B tests on robots in our facilities.The ideal candidate for this position will be familiar with planning or learning algorithms at both the theoretical and implementation levels. You will have the chance to solve complex scientific problems and see your solutions come to life in Amazon’s warehouses!Key job responsibilities- Research design - How should solve a particular research problem- Research delivery - Proving/dis-proving strategies in offline data or in simulation- Production studies - Insights from production data or ad-hoc experimentation- Production implementation - Building key parts of deployed algorithms or modelsA day in the lifeOn a typical day in this role you will work to progress your research projects, meet with engineering, systems, and solutions stakeholders, brainstorm with other scientists on the team, and participate in team processes. You will follow your research projects though the entire life cycle of design, implementation, evaluation, analysis, and will communicate your findings and results through technical papers and reports. You will work with engineering teams to incorporate your models and analyses into system and process designs.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamOur multi-disciplinary science team includes scientists with backgrounds in simulation, planning and scheduling, grasping and manipulation, machine learning, reinforcement learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-word robotic warehouses, including:* Planning and coordinating the paths of thousands of robots* Dynamic allocation and scheduling of tasks to thousands of robots* Learning how to adapt system behavior to varying operating conditions* Co-design of robotic logistics processes and the algorithms to optimize themOur team also serves as a hub to foster innovation and support scientists across Amazon Robotics. We also coordinate research engagements with academia, such as the Robotics section of the Amazon Research Awards.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Experience applying theoretical models in an applied environment- Experience building machine learning models or developing algorithms for business application- Experience in patents or publications at top-tier peer-reviewed conferences or journals ...

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. ...

Amazon is looking for Software Development Engineers who are passionate, innovative and have a strong drive to automate and simplify. This position will report to the Software Manager for Device Management - Cloud Services within the Global Edge Compute Team and have responsibility for software engineering across numerous cloud-based services designed to manage edge devices at scale.The Global Edge Compute team is responsible for services that manage Amazon's edge compute fleet - 1,000,000+ devices across 3000+ locations worldwide. Our systems manage everything from cutting edge robotics systems in Austin, to delivery stations in Cairo. We deliver innovative technical solutions to facilitate the massive growth in Amazon compute capabilities around the globe.Our team's mandate is to design, develop, and operate the next generation of device automation systems that allow for the provisioning and management of edge devices at Amazon scale. We're looking for entrepreneurial and innovative individuals who thrive on solving tough problems.Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment. As an Amazon Software Development Engineer, you will help tackle a diverse landscape of technical challenges. We are a greenfield initiative, and you will play an active role in translating business requirements into concrete systems and prototyping concepts in partnership with technology leaders within the team and across the business.You will design, develop and deploy reliable distributed solutions that operate at Amazon scale. You will work with a variety of core languages and technologies including Kotlin, Python, Linux, and AWS services, including GreenGrass and IoT. You will tackle challenging, novel situations every day and will have the opportunity to work alongside talented Amazon engineers to redefine an industry. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on many people.A successful engineer in this role:Loves Automation: 1M devices cannot be managed as snowflakes, we automate everything.Is Highly Analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.Is Engaged by Ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers.Key job responsibilities- You are constantly looking to make improvements to existing systems as well as looking for new problems to solve. You are not satisfied with the status quo.- You uphold the highest standards, and encourage those around you to do the same.- You are always looking for opportunities to learn about new technologies, new customer use-cases, or the inner workings of our systems.- You are always asking what we can do to make our customers' experiences better. Putting yourself in their shoes and working backwards from there.A day in the life- Design and implement new, cloud-based, software solutions to aid in managing edge devices at scale.- Support team mates with insightful code reviews, peer programming, brainstorms and design discussions.- Ensure the nominal operation of our cloud-based services, expanding metrics coverage and upholding high operational excellence standards. About the teamWe own the infrastructure automation that manages Amazon Stores' compute and device infrastructure. We are passionate about taking complex infrastructure and abstracting it with self-service tooling. We embrace simple, decoupled, fault-tolerant solutions so we can spend more time innovating, and less time fixing.Our team is tight-knit and operates primarily out of Boston with our peer teams located in Austin. We have a mix of experience levels, and work in a broad, collaborative space that has something for everyone. We care about the development of our engineers and are invested in helping each other attain our career goals.This role has significant scope and can be a stepping stone to further career advancement within Amazon.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 ...

The Mechanical Engineer designs automated packaging platforms and supporting systems to enable faster and more efficient delivery to Amazon's customers.The primary role of the Mechanical Engineer is to provide technical ownership and refinement of the packaging platforms and automation systems. Working with the Electrical and Controls teams, the Mechanical Engineer will execute the design and manufacturing of Amazon's in-house packaging machinery and automation.Key job responsibilitiesCollaborate with cross-functional engineers to design and execute packaging machinery and automation projectsCollaborate in the mechanical design work-streams, including modeling, load/bearing calculations, and 3D/2D designEnsure project documentation is complete and scalable for manufacturingSupport safety certification of projects/platformsParticipate in meetings to optimize for customer experience, supply chain, and sustainabilityAbout the teamAligning mechatronics and packaging into one organization, (Mechatronics and Sustainable Packaging, MSP) enables Amazon to develop, deploy and scale automated solutions across the Amazon Fulfillment Network, especially from Pick to SLAM for the Automated Robotics Sortable (ARS) network. This group works backwards from deep customer insights to deliver solutions that seamlessly integrate into brownfield and greenfield deployments with safety as a top priority. In addition, Sustainable Packaging solutions are a thread that impacts and connects all parts of the Amazon Stores supply chain and customer experience. They take ownership for the entire packaging experience including selling partner design, first/middle/last mile and total customer experience. They eliminate waste and packaging wherever possible. Where Amazon added packaging is required, they are transitioning from single-use plastics to curbside recyclable paper-based materials.BASIC QUALIFICATIONS- - Experience in developing functional specifications, design verification plans and functional test procedures- - BA in Mechanical, Electrical, or Mechatronics Engineering- - 4+ years packaging machinery development experience- - Proven experience in advanced motion control platforms including but not limited to linear drives, high axis count servo platforms, and robotics- - Proficiency in 3D design and simulation software ...

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. ...

The Automated Reasoning Group is looking for a Applied Scientist with expertise in programming language semantics and deductive verification techniques (e.g. Lean, Dafny) to deliver novel code reasoning capabilities at scale. You will be part of a larger organization that develops a spectrum of formal software analysis tools 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 accessible to all developers.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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS 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.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.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in automated reasoning techniques, such as SAT/SMT, deductive verification. ...

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 ...

We are seeking a Principal Applied Scientist to join our industry-leading team developing cutting-edge technologies in multi-robot planning and control. This is a unique opportunity to play a pivotal role in enabling fleets of autonomous mobile robots to operate safely and efficiently around humans in dynamic real-world environments.In this position, you will lead projects to push the boundaries of collaborative autonomy - getting teams of robots to cooperate and coordinate to get work done. You will develop and deploy new planning, coordination and control methods for our next generation of mobile robots. Your solutions will allow packs of robots to navigate warehouses transporting goods, performing services, and taking over dangerous dull dirty tasks - all while safely sharing space with people.This opportunity offers the chance to have broad impact by enabling robots to take on new roles that will transform how we work. You will collaborate with brilliant colleagues in a culture that values ingenuity, teamwork and making an impact. Come join our mission to pioneer the future of automation!About the teamThe Movement Science team studies algorithms for efficient motion planning and coordination of Amazon's mobile robots. Our aim is to improve the efficiency of robot movement and to enable adaptation to new operating conditions. We focus on two key requirements of movement: preserving liveness and working at scale. We are driven by system-level problems, where a new algorithm can unlock a new solution design, fix a significant shortcoming, guarantee performance under varying conditions, or improve how complex tradeoffs are made. As a science team, we take on projects which require cutting-edge research, a longer time-horizon, or carry significant risk.BASIC QUALIFICATIONS- PhD degree in CS, CE, or related technical field- 10+ years of relevant, broad research experience after the PhD degree- Experience programming in C++, Java, Python or related language- Experience using state of the art robotics development toolchains, e.g., ROS and Gazebo- Strong publication record with contributions to leading conferences/journals ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? We apply advances in robotics and software to solve real-world problems that delight our customers' experiences in ways we can't even imagine yet.Amazon Robotics is located in the greater Boston area, the epicenter of robotics innovation. Our diverse team of engineers come from all over the world to design, test and build our dynamic fleet of robots and mechatronic systems. Having our offices, labs, test floors and factories all co-located means that we can design the hardware, write the code, test, build and watch it all come to life. This allows us to innovate quickly and on limitless ideas. Current advancements are underway in autonomous movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more.The World-Wide Technology Deployment (TD) team is looking for an experienced Safety Engineering Risk Manager to be responsible for the deployment of new technologies and products in a safe, ergonomic and efficient manner in Brownfield (BF) or Live sites. This individual will also support day-to-day monitoring of Tech Deployment Safety Programs and initiatives. The candidate will assist in reviewing safety compliance and drive proactive identification of potential safety hazards for TD, our partners, and impacted teams within the Amazon workplace. The individual will take the lead in promoting safety awareness and education across TD BF sites and labs and be hands-on with the product and deployment teams we support. We are looking for someone that is passionate about Safety, can identify risks and opportunities, and owns driving improvements while engaging Operations teams and other stakeholders. Key job responsibilities• Evaluate new products and technologies and provide guidance to engineering and development teams to allow those products to be installed/deployed safer, more ergonomically and/or more efficiently in BF sites.• Contributing to the TD Safety Team to ensure delivery of safety performance in line with personal, team and functional goals and objectives, facilitating and/or arranging training programs on critical safety issues• Supporting the business to ensure compliance to local and international legislation and the implementation of safety programs.• Ensuring that systems are kept accurate at all time with completed incident reports and all required supporting documentation, with metrics compiled on key data points to help the TD Safety Manager prepare/issue regular and ad hoc reports and metric documents• Partnering with Site WHS, GESS and other affected teams to report and investigate incidents and/or near misses and ensure documentation.• Supporting TD Contractor management, pre-qualification and the execution of the Safe System of Work (SSOW) developed to perform Contractor work in BF sites.A day in the lifeAs a Safety Engineering Risk Manager, you will take a lead role in implementing, monitoring, and evaluating new products and technologies to ensure compliance with Amazon and industry safety policies and expectations in order to provide a safe and secure workplace for employees and partners. You will be responsible for maintaining safety documentation, requirements and reporting as well as leading and/or participating on safety committees, programs and initiatives. You will work across Amazon team to perform work task risk assessments and develop safety standard work in conjunction with our engineers, designers, and associates. In the event of issues or escalations you will investigate and report on situations and ensure proper actions are captured and closed out. You will pull teams together as a Subject Matter Expert (SME) to conduct Root Cause Analyses in conjunction with Operations leadership and our deployment teams. In support of our field activities you will perform site physical condition safety observations, associate safety behavior observations, as well as audits and inspections in relation to fire and safety related equipment. About the teamWorld Wide Technology Deployment (WWTD) offers services to our global customers to realize the full value of automation solutions. We deliver safe, efficient, and high quality integrations at scale to meet emerging network and business needs. We do this by partnering with upstream and downstream customers to innovate and perform rapid experimentation. This accelerates the maturity of complex solutions throughout the product lifecycle to enable simplified execution.BASIC QUALIFICATIONS- 4+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience- Bachelor's degree or equivalent- Experience handling confidential information ...

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 any of these and you’ll fit right in here at Amazon Robotics. We are a smart, collaborative team of doers that 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. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.The Amazon Robotics Sensor and Compute Team is seeking a talented and enthusiastic Embedded Software Manager to lead the development of next generation sensors and computers from concept to production. The ideal candidate is excited about the robotic sensing and compute technologies, and is passionate about delivering high quality hardware and embedded software products in a hyper-growth environment where priorities could shift fast. You excel at leading developers, driving operational excellence, and have a track record of building strong engineering teams. As a member of the leadership team, you will make a huge impact on everything from our technology roadmap and product vision, to the architecture of the products, to the culture we build, and to our customer experiences.Key job responsibilities- Hire and develop the best. Grow and develop a team of embedded software engineers, and empower them to achieve their career goals.- Lead the team to deliver high quality sensor and compute products to meet customer and business needs.- Provide technical leadership by contributing to architecture and design discussions, driving best practices and ensuring highest quality of the team’s deliverables. - Collaborate with cross functional partner teams such as hardware, software, testing, manufacturing and operations teams, as well as third party suppliers.- Drive the team’s operational excellence through mechanisms and process improvement.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- 7+ years of working directly within engineering teams experience- 3+ years of engineering team management experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- Experience partnering with product or program management teams- 5+ years of development experience within an embedded or robotic environment which must include direct, hands-on experience of full embedded software development cycle, including design, development, build, release, manufacturing, deployment and service.- Knowledge of engineering best practices and patterns for the software development, such as coding standards, code reviews, source control management, CI/CD, testing, certification.- BA/BS/MS/PhD in electrical engineering, computer science, computer engineering or related discipline. ...

The Science Tooling And Research (STAR) Team at Amazon Robotics is seeking a passionate Applied Scientist, with a strong track record of industrial research, innovation leadership, and technology transfer, with a focus on ML Applications.At Amazon Robotics, we apply cutting edge advancements in robotics, software development, Big Data, ML and AI to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We operate hundreds of buildings that employ hundreds of thousands of robots teaming up to perform sophisticated, large-scale missions. There are a lot of exciting opportunities ahead of us that can be unlocked by scientific research. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.As you could imagine, data is at the heart of our innovation. This role will be participating in creating the ML and AI roadmap, leading science initiatives, and shipping ML products.Key job responsibilitiesYou will be responsible for:- Independently innovating, creating, and iterating modeling solutions for given business problems. Especially, using techniques such as Spatial–temporal ML methods, Optimization, Causal Inference, etc.- Collaborating with other Science, Tech, Ops, and Business leaders to ship and iterate model products.- Promoting best practices and mentoring junior team members on problem solving and communication.- Leading state-of-the-art research work and pursuing internal/external scientific publications.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building machine learning models or developing algorithms for business application experience- Experience programming in Java, C++, Python or related language- Experience applying theoretical models in an applied environment ...

Are you in interested in designing highly automated systems that span across Amazon's Global Fulfillment network? Do you like the idea of leveraging a variety of simulation technology and approaches to drive system design and robotic innovation? Do you like the idea of driving new technology to advance simulation experimentation and analysis?Answer yes to any of these questions and you will fit right in here in the Amazon Robotics System Operations and Simulation team. We are a team of collaborative builders that work passionately to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We focus on reducing complexity across the fulfillment network, driving new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun. Key job responsibilitiesAs a Principal Data Scientist on our team you will:- Create simulations of our robotic workcells and automation systems with varying fidelity from mathematical modeling to simulation with software in the loop.- Decompose novel system designs and iterate on alternatives to produce simulations of robotic and system designs.- Apply your system engineering and science judgement to determine the most critical behaviors to model to drive design and engineering decisions.- Apply simulation expertise to drive designs to produce the best product minimizing system complexity.- Communicate transparently the experiments and analysis produced from system design models.- Advance simulation technology to accelerate innovation and system design.A day in the lifeOn any given day at Amazon Robotics, you will:- Collaborate with experts spanning robotics, hardware, software, industrial design, system architecture and other domains.- Inform understanding of simulation and experiment design.- Adjudicate what system behaviors are most critical to model when.- Use analysis results to drive system understanding and gain consensus around what is the best system design while reducing complexity.- Use your skillset across simulation and design boundaries to continually surface data and evolve designs.- Provide guidance and hands on expertise to improve tools and techniques used in simulation to accelerate innovation.BASIC QUALIFICATIONS- 10+ years of non-internship professional data science and simulation experience in a system engineering domain.- Masters degree in relevant discipline, engineering or science.- Hands on experience designing and evaluating experiments, including a broad range of mathematical, discrete event and physical simulations.- Hands on experience articulating model trade-offs and results analysis to business partners.- Hands on experience with R, Python, Jupyter and other data science and simulation tools, languages and technology. ...

Amazon Robotics is seeking a talented, enthusiastic, motivated Engineer to design, develop, test, and lead the development of software which control and optimizes robotic fulfillment centers used by amazon.com operations.As an engineer on the Fleet Management team, you are a key member of a diverse, collaborative team of engineers who deliver highly scalable robotic systems. You will support and lead the design and development of services which allocate and assign tasks to a fleet of autonomous vehicles, and track the state of resources associated with such fleets. Our team’s software paves the way for integration of autonomous vehicles in the Amazon fulfillment network.You will have opportunities to collaborate and work with research scientists, applied scientists, data scientists and cross-functional teams on cutting-edge automation solutions for ever-growing robotic fleet.Key job responsibilities- Architect, design, and implement robotic applications and infrastructure.- Influence the team's strategy and contribute to long-term vision and roadmap.- Work with stakeholders across organization to iterate on design and implementation.- Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.- Prototype and test concepts or features, both through simulation and emulators and with live robotic equipment- Work directly with customers and partners to test prototypes and incorporate feedback- Mentor other engineer team members.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent- 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- Strong background in algorithms and hands-on experience in developing algorithms for highly-scalable system ...

Join the team which delivers highly differentiated silicon into Blink and Ring battery powered devices. Our validation team works on state-of-the art SoCs in a vertically integrated team environment to deliver products our customers love. The team works backwards from customer requirements to build super-low power, energy efficient designs that include the latest in AI, video processing, low power communications and CMOS fabrication technology.Because we are vertically integrated we directly get to see products built and ship based on our silicon.We work directly with product teams to increase the velocity of features and time to ship products.Key job responsibilities- Write comprehensive Post-silicon validation test plans- Develop automated software test applications for effective ASIC stress testing- Collaborate with firmware teams to evaluate system performance- Support Post-silicon bring-up- Execute test plans for the ASICs- Debug and characterize standard interfaces (SPI, SDIO, MIPI, I2C, UART)- Investigate silicon yield issues- Write and support firmware examples to downstream customers- Work with product teams to debug system issues- Test digital logic as well as mixed signal IPs- Automate and enhance process and flows around testing- Work in the lab, using test equipment to validate ASICs- Work in an Emulation environment as part of the pre-silicon effortBASIC QUALIFICATIONS- 5+ years experience in Post-silicon validation, preferably in mixed-signal IPs, SoC Interfaces- 3+ years of experience in C/C++ and scripting (Python preferred) ...

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 any of these 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. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. Amazon Robotics internship/co-op/full-time opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Key job responsibilitiesAmazon Robotics Storage Technologies is looking for a Business Intelligence Engineer Co-op to analyze robotic systems, improve program dashboards, and to create data pipelines through AWS. A successful co-op candidate will use data and technology to seek improvements or find disruptions in current storage field operations. In addition, a successful team member seeks opportunities to deep dive issues & influence future decisions, automate and standardize tools & processes where needed. Candidates should have experience in business analytics, data science, data visualization, data engineering, and communicating analyses effectively. Amazon Robotics’ culture encourages innovation and expects co-ops to take a high level of ownership in all tasks.As a Business Intelligence Co-op you may:* Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs* Analyze historical data to gauge relative performance metric changes, highlighting causation. * Analyze data related to storage solutions to evaluate expected vs actual system performance and entitlement* Work with partner teams to onboard data from other Amazon data providers* Write queries to pull data and act as a thought partner through the design phase of CI & NPI solutions* Evaluate and observe data practices in your own work and throughout the team, always insisting on the highest standards* Recognize and implement best practices and automation opportunities for reporting and analysisAbout the teamThe Robotic Storage Technology BI, Analytics and Data Science team (RST-BAND) is comprised of data scientists and Business Intelligence Engineers who support data exploration and analysis to support Amazon Robotics (AR) fulfillment buildings and new product development. We conduct relevant, insightful analysis and communicate the results through white papers, dashboards, and presentations. Our methods include design of experiments, statistical modeling, financial analysis, data pipelining, exploratory data analysis, metric generation, and data visualization.BASIC QUALIFICATIONS- Currently enrolled in Bachelor's, Master’s degree or higher in the US in an analytically rigorous field (Mathematics, Data Science, Statistics, Computer Science, Industrial Engineering, Econometrics) or other equivalent discipline- Must be eligible and available for a full-time (40h / week) 5-6-month in-person internship in spring 2025- Experience building dashboards in Tableau or other relevant data visualization tool (Looker, PowerBI, Grafana, etc.)- Write high-quality and optimized SQL queries to retrieve datasets- Basic understanding of Python for exploratory data analysis and modeling- Ability to communicate analytic results effectively across stakeholder groups ...