Boston

Amazon is building the next generation software, hardware, and processes that will run the global network of fulfillment centers that move many millions of units of inventory, and ensure that customers get what they want when we promised. We do this by building automated solutions to handle things that technology does well, while relying on people to handle things that humans do well. We are constantly innovating in the ways we are automating and accelerating the delivery of products and packages which includes building custom hardware and applying robotics, autonomy, supply chain optimization, machine learning, manipulation, image processing, and real-time data processing using distributed systems. We are seeking a talented and solutions-oriented Technical Program Manager (TPM) to contribute to delivering transformational innovation to the business. As a Tech Transformation TPM, you will work closely with field specialists, BIM engineers, system development engineers and cross-functional teams to improve the quality and productivity of automation deployment for Amazon’s fulfillment network. This role includes the following responsibilities:- Implement innovative technologies by driving process change and managing stakeholder engagement- Develop a technical understanding of Transformation programs, such as Reality Capture, to tailor deliverables to various customers and ensure on-time delivery- Own complex scheduling and resource balancing for Transformation initiatives and programs- Analyze data and devise metrics to track impact of programs on deployment, including cost savings, deployment efficiency, and scalability- Monitor the progress of Transformation team goals, ensuring prompt updates and reporting to leadership- Partner closely with technical leads to assess the business impact of new initiatives and recommend the best options based on quantified benefits, costs, and operational impacts- Manage competing priorities across a wide range of stakeholders, ensuring time is focused on the highest value activities and issuesA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) 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 Mechanical Engineering, Aerospace, Electrical Engineering, Physics, Operations Research, or equivalent- Ability to understand and discuss technical concepts, schedule trade-offs, and evaluate new concepts with technical leads- Experience with program management, tracking complex schedules, and allocating resources- Experience working across teams, defining program requirements, and optimizing cross-team processes to improve efficiency and delivery- Confidence operating independently and working with ambiguity- Ability to deliver in a fast-paced environment- Excellent verbal and written communication skills ...

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 ...

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

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

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 ...

The System Engineer plays a crucial role in the Amazon Robotics deployment team. They oversee the installation, troubleshooting, integration, and commissioning of Amazon Robotics equipment in new and existing fulfillment centers (FCs). This field engineering based position demands strong technical skills for deploying robotic equipment, including working with mechanical systems, electrical, configuring networking, and coordinating software systems. Ideal candidate have experience with complex electro-mechanical and network systems. They should also demonstrate leadership in leading the installation, maintenance, upgrades, or troubleshooting of these systems. System engineers will work with a team of 1-5 engineers and collaborate with an on-site project manager to provide technical oversight on the installation of both third party and Amazon designed robotics equipment. These deployments require extensive collaboration with varies stakeholders, including third-party installers, contracted engineers, construction, hardware, software, IT, and other partner teams. Strong communication skills are essential for interacting with both internal and external partners and customers. As an Amazonian the candidate must demonstrate independent initiative to identify and solve problems in real time during deployments. They will also drive continuous improvement initiatives to avoid recurrences. This systems engineer position is a leadership role within the on site deployment teams. Candidates should have a proven track record of successfully leading work scopes and making effective decisions Systems engineers will be deploying the robotic systems in various phases of a product life cycle. When supporting new products, the candidate require to lead the development of process documentation and modifying the existing processes. Strong technical understanding, love for field work, and a keen interest in diving deep into the understanding of Amazon’s robotics systems are key attributes for this role. As an Amazonian, the ability to recognize process gaps and take ownership in developing solutions are important. Project duration can range from a few days to several months and include travel across the US. International work is available for candidates interested in pursuing. This position requires 75% travel. Valid US drivers’ license required. **Relocation to Amazon Corporate offices in Seattle, Boston, or Austin will be required for the role. Critical Skills: Proficiency in reading, developing technical documentation, and writing process instructions Experience handling multiple priorities in a fast-paced, field-based construction or warehouse environment Must be proficient in standard office software tools and processes Expertise in robotics, complex electro-mechanical systems, and networked engineering, including knowledge of robotic components and software Strong initiative and ability to work independently, while reporting to leadership. Excellent communication skills for customer-facing interactions and data reporting on project status and technology deployments Ability to collaborate effectively with cross-functional teams Ability to capture lessons learned, conduct retrospective reviews, and drive continuous improvement projects Capability to function independently, manage a team of 1-5 engineers and related trades during deployments Proficiency in integrated schedule management to coordinate with different teams both within and outside of Amazon Robotics Ability to oversee and resolve escalations during robotics deployment including quality hand-off, live order testing, site acceptance testing, operational readiness testing, monitoring system performance, etc. Responsible for delivering projects by owning key performance indicators related to on-time delivery, cost, quality, safety, and sustainabilityUnderstanding of data collection, reporting processes, and ability to make data-driven decisions.Key job responsibilitiesSupport and guide installation of robotic technologies at Amazon fulfillment centers. The systems engineer develop detailed knowledge of the operation of robotic systems and guide installation, commissioning, and troubleshooting of these systems both on site and remotely. The scopes vary significantly in length and include heavy travel to both live warehouses and new construction sites. The systems engineer will generate and implement continuous improvement ideas around their work-scopes and lead teams of other engineers on projects. A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.The benefits that generally apply to regular, full-time employees include:Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)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 teamThe Robotics Deployment Engineering team consists of the field deployment teams for Amazon's robotic warehouse systems. The teams travel frequently and work across overlapping projects to complete their deployment scopes and continuously improve our processes BASIC QUALIFICATIONSBS degree in Engineering or closely related STEM field. 3+ years’ working on mechanical, electrical, IT networked, or software systems.2+ years’ experience with technical drawings and/or reading CAD models to resolve on-site clash issues using 3D clash detection reports.2+ years working in a field setting including construction, manufacturing, or warehouse environment1+ years’ experience with troubleshooting robotics systems or other complex mechanical-electrical or networked systems to resolve escalations including quality hand-off, live order testing, site acceptance testing, operational readiness testing, monitoring system performance, etc. 1+ years’ experience with business intelligence and data visualization and reporting tools (e.g. Tableau). ...

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? 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 a Safety Engineering Risk Manager Intern 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 intern, 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.BASIC QUALIFICATIONS- Currently pursuing degree (Bachelor's, Master's, etc) in Safety Management or related field with a minimum of 1 semester remaining after internship completion.- 1+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience- Experience handling confidential information ...

The Ads Security organization at Amazon is dedicated to creating innovative technical solutions that detect, assess, and mitigate security risks within Amazon’s Advertising businesses. Our vision is to accelerate the development velocity of the Advertising business by ensuring that our products are inherently secure. We are seeking a talented engineer to join our team, where you will have the opportunity to contribute to securing web applications and services critical to delivering exceptional customer and partner experiences at scale in Amazon Ads.The ideal candidate will have a robust background in security program management, experience in establishing security standards for cross-cloud deployments, and a deep understanding of cloud security, particularly within AWS platforms. You will conduct independent security reviews, oversee penetration tests as necessary, and provide guidance to stakeholders on remediation strategies and best practices for integrating security into their application platforms. Your role will be pivotal in ensuring the protection of customer data and critical infrastructure within the Ads organization.Key job responsibilitiesAs a Security Engineer within Amazon’s Ads Security team, you will play a crucial role in ensuring that applications across numerous Ads platforms are designed and executed with the highest security standards to maintain customer trust. You will tackle a diverse array of security challenges, ranging from novel threats in Ads services to selecting and implementing scalable and secure features such as key management solutions and encrypted storage. Additionally, you will serve as a subject matter expert, providing guidance to developers on building secure products and fostering a security-conscious culture within the organization.* Collaborate directly with service and platform owners to advise on security best practices and tool implementation.* Perform comprehensive security assessments on SaaS implementations, data management systems, and reporting frameworks being used internally by Amazon Ads teams or externally by Amazon Ads customers.* Coordinate and oversee penetration testing activities for platforms and tools.* Identify security risks, report findings, and recommend solutions for complex security issues by leveraging existing set of detections and/or design new detections within Amazon’s various security detection frameworks.* Contribute to fostering a strong security culture at Amazon through knowledge sharing and collaboration.* Engage in cross-team projects aimed at enhancing the security posture of Amazon and customer data throughout its lifecycle.A day in the lifeActivities in this role include:• Identifying security issues and risks, review & approve mitigation plans for Ads products.• Influencing product teams and senior leadership to implement practices that maintain a high security bar.• Advising teams developing products on the correct components that deliver security features like key management, authentication, encryption, etc.• Proposing, collaborating & obtaining buy-in on strategic security initiatives.• Recommending and developing security-focused tools that help product teams prevent security misconfigurations & vulnerabilities in the design & implementation of features.• Developing and interpreting security policies and procedures to form security requirements.• Developing training that promotes general security awareness and informs developers on how to discover & mitigate security vulnerabilities in their products.• Deciding which new security tooling and strategies should be pursued for scalable security in service development.• Supporting incident response activities as a security subject matter expert.About the teamDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent- 3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience- 5+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience- Experience implementing security solutions at the business division level or equivalent ...

The Devices and Services (D&S) Trust & Security team works to ensure that our devices and services are designed and implemented to the high standards required to maintain and enhance customer trust. Security and Privacy are paramount to maintaining trust and we need to continue to build trusted products, maintain and operate trusted environments, and advocate trust to customers and stakeholders. The team develops security automation for devices & services, performs penetration testing, and handles and tracks incident responses to resolution. The Trust team is responsible for enabling business growth and innovation while honoring data policies and controls that help protect customer trust. We are responsible for defining and executing on the security and privacy requirements across the entire organization.Key job responsibilities• Design and build reusable, maintainable, and performant software consistent with Amazon standard technologies (Java, JavaScript, React, AWS etc. ).• Adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.• Perform DevOps in a production environment by automating the design, coding, and deployment of infrastructure within an AWS environment. This includes developing CI/CD pipelines, instrumenting code to report relevant metrics, and building safe and efficient build processes.• Collaborate with Security Teams to understand the latest security best practices and incorporate them into the product design and development• Implement secure-by-design principles to ensure the new techniques and tooling are designed with security in mind from the ground up. This may include secure authentication and authorization, data encryption, input validation, and secure communication protocols• Collaborate with cross-functional teams (e.g. data scientists, product managers) to identify and solve complex AI/ML problems• Ensure AI/ML systems adhere to security, privacy, and ethical standards• Continuously monitor and improve the performance and reliability of AI/ML systems in production• Contribute to the development of reusable AI/ML frameworks and libraries• Build data pipelines and infrastructure to support the development and deployment of AI/ML applications• Work with big data technologies to build robust data pipelines, run complex queries, and leverage ETL (Extract, Transform, Load) tools such as SQL, AWS Glue, Athena, and PySpark.A day in the lifeCandidates must have a mix of communication and strong technical skills, comfortable white boarding security implementation techniques, and must be able to engage with different levels in the organization. Previous experience with Alexa is desired but not required, provided you have experience building production quality and secure technologies. You will get the opportunity to work directly with senior security and software engineers in Amazons AI Security organization, influencing their roadmaps and driving innovation.About the teamDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to buildexperience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language- 3+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience ...

The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Applied Scientist, to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex reasoning; with a focus across text, image, and video modalities.As an Applied Scientist, you will play a critical role in supporting the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.Key job responsibilities- Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI- Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results- Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems- Communicate results and insights to both technical and non-technical audiences, including through presentations and written reportsBASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and innovative principal applied scientist with a strong background in deep learning, to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs a Senior Applied Scientist within the AGI team, you will work with world-class scientists and engineers to develop novel data, modeling and engineering solutions to support the responsible AI initiatives at AGI. Your work will directly impact our customers in the form of products and services that make use of AI technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in AGI in order to provide the best-possible experience for our customers.About the teamOur team has a mission to push the envelope of AGI, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of state of the art customization and distillation algorithms and models for supervised fine-tuning and reinforcement learning through human feedback; with a focus across text, image, and video modalities.As a Senior Applied Scientist, you will play a critical role in driving the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.Key job responsibilities- Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI- Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results- Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports- Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team- Help Amazon lead the state of the art through scientific publicationsBASIC QUALIFICATIONS- PhD, or Master's degree and 5+ years of applied research experience- 5+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with popular deep learning frameworks such as MxNet and Tensor Flow. ...

Amazon's Global Logistics (GL) team is seeking an experienced Senior Applied Scientist to research and deploy production solutions for transportation Pricing, Downstream Impact (DSI), and Network Flow. In this role, you will contribute to our vision of offering best-in-class global transportation capabilities for FBA Sellers and Retail Vendors, enabling them to ship efficiently from their locations to Amazon warehouses worldwide. Your work will help lower the cost structure for Amazon and our shippers, while also improving selection and availability for Amazon's consumers by simplifying complex global supply chains and replenishing inventories faster.Key job responsibilities- Collaborate closely with product managers, research scientists, operations leaders, and technical leadership to build cutting-edge transportation capabilities.- Analyze large datasets, develop end-to-end workflows, prototype optimization and machine learning models, and launch production-ready solutions.- Communicate your research findings and provide scientific guidance to the business, influencing our product strategy and roadmap.- Conduct experimental research that will inform future investment areas for the transportation business.A day in the life- Reviewing and refining the requirements for a new transportation pricing model with the product management team.- Conducting exploratory data analysis to uncover insights that can inform the design of the pricing algorithm.- Building and testing optimization prototypes, iterating on the model based on performance metrics.- Presenting your progress and initial findings to senior leadership, soliciting feedback to shape the next phase of development.- Collaborating with the engineering team to ensure a smooth transition of the model into production.About the teamYou will be joining the Network Economics, Research and Data Science (NERDS) Team, which supports GL's transportation business for North America (United States, Canada, and Mexico). The team's research focuses on developing solutions to improve transportation pricing, costs, speed, shipper support, fraud/theft prevention, shipment visibility, and delivery appointment scheduling for Amazon warehouses.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 Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockBASIC QUALIFICATIONS- 3+ years of building machine learning models or developing algorithms for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

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- 5+ years of industry or academic research experience- PhD- Experience programming in Java, C++, Python or related language- Experience with automated reasoning tools such as proof assistants, automated theorem provers, or program verifiers. ...

The WWGST (Worldwide Grocery Stores Tech) teams are seeking a highly motivated Senior Applied Scientist (Level 6) to join our team that is focused on building new technologies for grocery stores. We are a team of applied scientists invent new algorithms (especially artificial intelligence, computer vision and sensor fusion) to improve customer experiences in grocery shopping such as Dash Cart or Self-CheckOut. The Amazon Dash Cart is a smart shopping cart that uses sensors to keep track of what a shopper has added. Once done, they can bypass the checkout lane and just walk out. The cart comes with convenience features like a store map, a basket that can weigh produce, and product recommendations. Amazon Dash Cart’s are available at Amazon Fresh, Whole Foods. Learn more about the Dash Cart at https://www.amazon.com/b?ie=UTF8&node=21289116011.Key job responsibilitiesAs a Senior Applied Scientist, you will help solve a variety of technical challenges and mentor other junior scientists. You will be leader of the applied science team to resolve the hard problems. You will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.About the teamDiverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the extreme. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.BASIC QUALIFICATIONS- M.D. degree with 10+ years of experience.- 7+ years of directly-related industry experience. ...

Amazon Ads operates at the intersection of eCommerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of devices. If you’re interested in joining a rapidly growing organization working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.We’re looking for a results oriented Senior Account Manager who is passionate about partnering with our advertisers, educating them, helping to solve ambiguous business problems, and mitigating risks before they become roadblocks. As a Sr. Account Manager, you manage and deliver against complex advertiser goals and problems to drive revenue and achieve revenue targets. You nurture customer relationships and create revenue opportunities from the advertisers you own. You’ll not only dive deep into data to understand trends, but also communicate the “why” behind results and make actionable recommendations to internal and external stakeholders. Additionally, you’ll be able to leverage Amazon’s proprietary data to provide strategic and personalized recommendations, influencing both your internal team and your external customers to facilitate them reaching their business goals. This role is highly collaborative, working with Creative, Senior Sales, Product, and Insights partners and will drive process improvement to gain efficiency and foster collaboration. The Sr. Account Manager’s strategic digital expertise and influence is considered critical to unlocking greater value and impact for our advertisers.Key job responsibilities• Become a knowledgeable partner on Amazon Advertising solutions• Work cross-functionally with sales and other Amazon partners to drive incremental revenue and increase advertiser satisfaction to meet revenue targets• Develop annual brand and media strategies for growth based on overall advertiser goals/objectives• Develop campaign strategies and audience targeting recommendations per brand and product line• Evaluate KPIs and optimize campaign performance using a data driven approach• Perform in-depth data analysis to deliver actionable insights & recommendations that influence short term / long term digital media strategy• Educate advertisers on performance metrics, insights, and how to achieve greater results on AmazonBASIC QUALIFICATIONS• Bachelor's degree• 7+ years of digital advertising and client facing roles experience• Experience with digital media/marketing strategy, data analysis and data analytics & visualization• Success in optimizing products and services based on client needs• Strong Proficiency in Microsoft Excel• Demonstrated success working with cross-functional teams and building strong relationships internally and externally ...

The AGI team is responsibly advancing Amazon’s generative AI technologies, including Amazon Nova—our newest generation of state-of-the-art foundation models offering frontier intelligence and industry-leading price-performance. We are also building Agents that automate processes in both virtual and physical environments.We are looking for a Senior Software Developer, who is experience in low-level programming to be responsible for leading a team of engineers in design, development, test, and deployment of innovative systems for Agents with a passionate multi-disciplinary team. We are looking for a candidate that will have an established a strong technical ability, great communication skills, and a motivation to achieve results in a fast-paced environment. You will collaborate closely with a team of Applied Scientists with expertise in specialized modeling areas.Key job responsibilitiesWe are looking for passionate, hard-working, and talented Software Engineers who have experience building innovative, mission critical, applications at scale that customers love. You will have an opportunity to make a large impact on the design, architecture, and implementation of innovative products used every day, by people you know.- Responsible for developing and evolving large-scale distributed systems.- Work in an Agile/Scrum environment to deliver high quality software.- Will work with scientists and software engineers to evaluate technical feasibility, investigate design approaches and prototype and develop new technology.BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering team- Experience in computer architecture- 3+ years experience in low-level programming including operating systems, networking, and/or memory management ...

Senior Software Development Engineer - EBS Data ServicesAmazon Web Services is looking for senior engineers to help us define and build the future of computing. The AWS Elastic Block Store (EBS) service delivers high performance virtualized storage "in the cloud" for EC2. Data service offerings are the differentiating factor that drive customer adoption of AWS and EBS within public cloud marketplace. As a member of the EBS team you'll work alongside bar-raising engineers and leaders to develop and operate one of the largest distributed storage systems in the world. We strive to delight our customers with features that simplify their business and operational workflows while staying conformant to security and performance requirementsWe are looking for a senior software development engineer for the Data services group that owns features leveraged by AWS customers to run and manage their workloads on EBS. You will be part of a team of engineers that develop and maintain services using C, C++, Java that enable our customer to securely backup, restore and move data while maintaining the durability and performance offered by EBS volumes. You will lead key architectural changes that drive impact at scale. You exemplify good operational practices and high standards of coding practices. 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.10017About the teamAbout the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.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 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 & 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- 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 ...