Amazon

Software Development Engineer II role focused on building customer-facing features for Amazon's global expansion, leveraging Machine Learning models to solve real-world problems and automate launch strategies for new countries. The role involves designing, developing, and delivering software in a highly distributed environment, impacting e-commerce revenue across numerous countries.

Sr. Principal Engineer to lead the transformation toward automated, intelligent delivery stations by developing deep understanding of Amazon's delivery station operations and automation technologies, focusing on the convergence of software systems, IoT, and Material Handling Equipment (MHE). This role will be instrumental in defining and executing our strategy to achieve operational efficiencies through innovative automation solutions while maintaining operational excellence.

This role involves foundational labeling functions for AI data, including dialogue evaluation across various modalities like speech, text, audio, video, and image. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and contribute to the responsible development of generative AI and LLMs at Amazon. Key responsibilities include maintaining confidentiality, analyzing root causes of errors, and suggesting process improvements.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

This role focuses on foundational data labeling for AI models, specifically for Alexa's performance improvement. Responsibilities include data annotation across various modalities (text, speech, image, video), maintaining quality and confidentiality, and contributing to process improvements. The role requires strong analytical and problem-solving skills, attention to detail, and fluency in French and English.

This role focuses on designing, implementing, and supporting datasets and BI solutions to provide actionable insights and drive business results. It involves deep data analysis, experimentation design, and partnering with cross-functional teams to identify opportunities and measure innovation initiatives. The role requires strong SQL, Python, and data manipulation skills, along with experience in A/B testing and data visualization.

This role focuses on building analytical products and models for supply chain optimization using data analysis, statistics, and machine learning techniques. It involves collaborating with stakeholders, identifying data needs, and driving data quality improvements.

The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to enhance labeling quality. This is a fixed-term contractual role for 12 months.

The role involves foundational labeling functions for generative AI, including dialogue evaluation on speech, text, audio, video, image data. The associate will deliver high-quality labeled data using guidelines and in-house tools, analyze root causes of errors, and propose solutions to enhance labeling quality. This is a fixed-term contractual role.

This role involves training and coaching customer-facing field teams and front-line managers on the AWS value proposition and how it drives business outcomes. The role will deliver virtual and in-person learning experiences, facilitate programs, and contribute to the development and iteration of training programs, including those that leverage AI and other emerging technologies.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, image, and video data. The associate will maintain confidentiality, deliver high-quality labeled data using in-house tools, analyze root causes of errors, and propose solutions to enhance labeling quality and operational processes. The role requires strong analytical thinking, attention to detail, and the ability to interpret and implement detailed instructions.

This role is for a Senior Solutions Architect at AWS, focusing on the Retail, Consumer Goods & Restaurants industries. The primary responsibility is to help customers understand and adopt AWS cloud solutions, driving business outcomes through architectural guidance, training, and strategic planning in partnership with sales teams. The role involves educating customers, building relationships, and acting as a technical liaison.

Software Development Engineer role focused on building an enterprise-wide Big Data Marketplace using AWS technologies. The role involves designing and developing scalable components for data catalog, discovery, and transformation, and mentoring junior engineers. It requires strong software development skills, understanding of big data and parallelization, and customer obsession.

This role is for a Sr. Forward Deployed Engineer at Amazon Web Services (AWS) Professional Services. The primary focus is on designing, implementing, and managing AWS solutions for customers to help them achieve their business outcomes. The role involves working closely with customers and partners throughout their cloud journey, providing technical expertise, and acting as a trusted advisor. Key responsibilities include solution design, implementation, troubleshooting, requirement gathering, and knowledge sharing. While the role mentions emerging technologies and customer success in cloud adoption, it does not involve direct AI/ML model development or research as its core craft. The role is customer-facing and focused on cloud infrastructure and application deployment.

This role is for a Forward Deployed Engineer on the AWS ProServe team, focusing on designing, implementing, and managing AWS solutions for customers. It requires strong software/systems engineering, coding, automation, and design/architecture skills, with experience in cloud architecture and solution implementation, and knowledge of primary AWS services. The role involves collaborating with customers to meet their technical requirements and business objectives throughout their cloud journey.

The Server Lab Engineer will own and operate the labs that power the bring-up and validation of next-generation ML training and inference racks. This role involves building, maintaining, and evolving lab infrastructure for HW, FW, and SW engineers, and delivering working, instrumented setups for R&D teams. Responsibilities include managing the physical lab, configuring hardware, administering Linux systems, managing network services, running sanity tests, writing automation scripts, and procuring/managing lab equipment.

This role is for a Senior Delivery Consultant at Amazon Web Services (AWS) Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and guidance throughout the project lifecycle. Responsibilities include architecting scalable solutions, proposing migration strategies, advising on industry trends, and ensuring project success. The role requires a strong understanding of AWS services and experience in cloud migrations and project management.

This role is for an Assurance Consultant within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on governance, risk, and compliance (GRC). The consultant will advise customers on meeting regulatory and compliance objectives, operationalizing the shared responsibility model, and demonstrating assurance for compliance in the cloud. While the role operates within AWS, which offers AI services, the core responsibilities are centered on security, compliance, and risk management for cloud workloads, not on building or directly implementing AI/ML models.

This role is for a Sr. Delivery Consultant on the Amazon Web Services (AWS) Professional Services team. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and guidance throughout the project lifecycle. Responsibilities include gathering requirements, proposing migration strategies, advising on industry trends, leading implementations, and ensuring adherence to best practices. The role requires a strong understanding of AWS products and services, software development lifecycle experience, and customer-facing project management experience.

Technical Program Manager to lead adoption of application security processes and improvements across internal customer teams at Amazon. This role involves planning, organizing, and managing the project lifecycle, collaborating with internal customers and security teams, architecting scope of work documents, and guiding the evolution of internal security support solutions. The TPM will also define and implement best practices, own business proposals and metrics, and manage program risks.

Software Development Engineer II role focused on designing, developing, and supporting scalable, distributed real-time systems for Amazon's Worldwide Returns and Recommerce (WW R&R) organization. The role involves building software systems to manage the lifecycle of returned products, optimize re-use, and improve the customer returns experience. While the team trains ML models, this specific role is primarily software engineering focused on the systems that support these initiatives.

Software Development Engineer II role focused on designing, developing, and supporting scalable, distributed real-time systems for Amazon's Worldwide Returns and Recommerce (WW R&R) organization. The role involves building software systems to manage the lifecycle of returned products, optimize re-use, and improve the customer returns experience. While the team trains ML models, this specific role is primarily software engineering focused on the systems that support these initiatives.

Senior Security Engineer role focused on application security within Amazon Stores. Responsibilities include threat modeling, secure code review, developing security automation tools, adversarial analysis, and providing security architecture guidance. Requires strong technical acumen in security, leadership influence, and clear communication skills. Experience with various programming languages and security domains is essential.

Software Development Engineer role focused on building scalable, distributed real-time systems for product sustainability and customer experience within Amazon's Returns team. Emphasizes core software engineering principles, distributed systems, and object-oriented design.

This role is for a Systems Engineer on the AWS Managed Operations team for the European Sovereign Cloud (ESC). The engineer will be responsible for building, operating, and evolving teams and services that deliver high-availability AWS services exclusively for EU customers. The role involves overseeing operations, collaborating with global AWS teams, and influencing service evolution, with a focus on availability, reliability, latency, performance, and efficiency.

Software Development Engineer role focused on building and maintaining large-scale data processing systems and highly available APIs for Amazon Brand Store. The role involves designing, building, and modernizing complex systems, creating real-time data analytics pipelines, and collaborating cross-functionally to drive architectural decisions. While the team is exploring generative AI, this specific role is centered on data engineering and API development.

This role focuses on the design and optimization of hardware for data centers, specifically mentioning AWS Inferentia, a machine learning inference product. The responsibilities include physical design implementation, developing cloud infrastructure for physical design work, and improving RTL2GDS flows. While it mentions ML inference products, the core of the role is hardware engineering and physical design, not direct AI/ML model development or research.

Software Development Engineer in Test (SDE-T) Intern role focused on creating automated test scripts, identifying software issues, and building automation frameworks. The role involves collaborating with engineers to validate and verify software, troubleshoot defects, and manage bug reports. Requires programming experience and a QA background.

This role is for a Sr. Cloud Solutions Consultant at Amazon Web Services (AWS) Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and best practices throughout the project lifecycle. Responsibilities include designing scalable AWS solutions, providing technical guidance, gathering requirements, and acting as a trusted advisor on industry trends. The role requires a strong software/systems engineering background with coding, automation, design, and architecture skills. A Top Secret security clearance is mandatory.