Amazon

Software Development Engineer Intern focused on building AI-based automation technology operations platforms, requiring design and development of scalable systems and collaboration with engineering teams. Basic qualifications include CS fundamentals and understanding of AI/ML algorithms, with preferred qualifications in GenAI, LLMs, and Agentic AI systems.

Senior Solutions Architect for AWS Financial Services in Vienna, focusing on cloud technologies and advising enterprise customers. The role involves solution design, migration strategies, security, and acting as an internal advocate. It emphasizes experience with emerging technologies like Generative AI and Agentic AI, and requires a strong technical background in cloud architecture and financial services.

This role is for a Senior Partner Solutions Architect within AWS, focusing on the Financial Services (FSI) Banking industry. The primary responsibility is to accelerate the adoption of AWS cloud services by working with consulting and technology partners to build and deploy technical solutions for Banking customers. While the role involves understanding and evangelizing AI/ML solutions like Agentic and Generative AI, the core function is partner enablement and solution architecture, not direct AI/ML model development or research.

Software Development Engineer to build high-performance, globally scalable AI-based Financial systems, partnering with science teams to build customized ML models and integrate with Generative AI models. Focus on designing and developing services for global financial transactions using AWS cloud platform.

This role focuses on Business Intelligence and data analysis within Amazon Business. While it mentions Machine Learning and data mining, its primary function is to build analytical tools, automate reports, and provide insights to business and product teams. The core responsibilities revolve around data manipulation, reporting, and dashboard creation, rather than developing or deploying AI models.

Software Development Engineer role focused on developing software for next-generation embedded systems for Ring camera products, leveraging AI agents and Generative AI tools to transform software development workflows. The role emphasizes AI-assisted coding, automated testing, and intelligent optimization to accelerate development.

This role focuses on the manufacturing, quality, and reliability of AI servers and systems that use Trainium chips. The engineer will work with cross-geographical ODMs and CMs to implement test techniques, improve manufacturing processes, qualify production lines, and mitigate product/component risks. The role is part of Annapurna Labs, which develops custom silicon and servers for AWS, including ML accelerators.

This role leads an engineering team focused on building an intelligent promotion platform for Amazon's Subscribe & Save business. The team will develop ML models for personalized promotions, create tools for selling partners, and integrate with GenAI surfaces. The role emphasizes people leadership, technical depth, and shipping innovative features at scale.

Operations Manager for Amazon's Artificial General Intelligence Data Services team in London, focusing on managing and scaling data operations for AI/ML technologies, leading teams, and ensuring service delivery and performance targets are met.

Software Development Engineer II role focused on building customer-facing features for Amazon's global expansion, leveraging Machine Learning models to automate launch strategies and solve local problems for customers and seller partners. The role involves full software development lifecycle, system design, and collaboration with business teams.

Senior Applied Scientist role focused on developing and improving last-mile delivery optimization using algorithms and machine learning. The role involves designing, implementing, and evaluating solutions for large-scale optimization problems, particularly in vehicle routing, and contributing to network planning and analysis to improve efficiency and reduce costs in global fulfillment operations. Requires a strong background in optimization, algorithms, and data structures, with familiarity in ML techniques.

Senior Solutions Architect specializing in High Performance Computing (HPC) and Machine Learning (ML) on AWS. The role involves designing cloud-based solutions for customers with complex HPC/ML workloads, including CAE, Weather, and GPU computing. Responsibilities include collaborating with sales teams, providing thought leadership, and assisting customers in architecting and migrating their applications to AWS.

This role involves building technology to automatically monitor and classify billions of products on the Amazon platform using machine learning algorithms on large datasets. The goal is to ensure compliance with legal regulations and build customer trust in the catalog. The role requires developing Amazon-scale applications on Amazon Cloud that process large data volumes to derive patterns and conclusions.

The role is for a Sr. Power Engineer at Amazon's Annapurna Labs, focusing on power delivery for machine learning hardware. Responsibilities include architecting, designing, simulating, and validating power solutions, improving reliability and efficiency, and developing power technology roadmaps. The role requires strong hardware and software integration skills and experience in managing ODMs and leading power design for major technology products.

Software Development Engineer role within AWS focusing on building and maintaining code for various AWS services, with a specialization in Artificial Intelligence/Machine Learning and Healthcare AI. The role involves designing, developing, and implementing complex software solutions, collaborating with cross-functional teams, and identifying performance bottlenecks. Preferred qualifications include knowledge of ML frameworks like JAX, PyTorch, vLLM, and LLM fundamentals.

Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals.

Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals.

Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals.

This internship focuses on data science, machine learning, and data mining, with an emphasis on developing, automating, and running analytical models. The intern will build tools for data analysis, error resolution, and present findings to business partners. Experience with large datasets and statistical grounding is expected.

This role is for a Senior Solutions Architect at Amazon Web Services (AWS) focusing on AI Engineering within the financial services sector. The primary responsibility is to partner with large financial institutions to design and implement scalable cloud architectures using AWS services, helping them adopt and leverage AWS for their business needs. The role involves understanding customer business problems, providing technical guidance, and acting as a customer advocate to enhance AWS services. While the role is within AI Engineering and deals with AI solutions, the core function is solutions architecture and cloud adoption, not direct AI/ML model development or research.

This role focuses on building Business Intelligence (BI) solutions for the Amazon Selection and Catalog Systems (ASCS) team. The primary goal is to create self-service analytical products that provide insights into catalog data, leveraging advanced analytics and AI/ML to drive proactive decision-making and improve business performance. The role involves leading the design, development, and maintenance of reports, dashboards, and metrics, working closely with engineering, product, and program managers to deliver end-to-end data solutions.

This role focuses on driving technical program execution for Amazon's device development tools, with a significant emphasis on leveraging AI/ML for automation and enhancing developer productivity. The primary goal is to shape the future of device development by leading cross-functional programs and implementing AI-powered solutions within the development lifecycle, ultimately impacting millions of Amazon devices worldwide.

The Senior Technical Program Manager will drive the scoping and delivery of projects for Security Products, focusing on Access Policy Management systems and applying Machine Learning for abuse detection. The role involves identifying stakeholders, setting roadmaps, managing delivery, and bridging technical gaps across multiple Amazon organizations.

Senior Design Technologist at Prime Video focused on shaping the future of entertainment by building high-quality, functional prototypes for next-generation UX concepts. This role involves hands-on product work, collaborating with design leadership, PMs, and engineers to drive concepts from idea to implementation, and leveraging platform expertise. A key aspect is developing prototypes using AWS Bedrock to envision brand new Gen AI powered experiences for customers, working across TV, mobile, and web clients.

The role involves foundational labeling functions for generative AI, including dialogue evaluation on speech, text, audio, video, and image data. The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and propose solutions to enhance labeling quality. This role supports the development and deployment of large language models (LLMs) and AI responsibly.

Software Development Engineer Intern role focused on building and operating innovative products and services within Amazon's Robotics division. The role involves designing and developing scalable solutions using cloud-native architectures, contributing to AI-powered tools for development productivity, and working with technologies like robotics, computer vision, and cloud services.

Software Development Engineer Intern/Co-op role focused on robotics at Amazon. The role involves designing, building, and operating innovative products and services, leveraging cloud-native architectures and microservices. A key aspect is the use and contribution to GenAI and AI-powered tools to improve development productivity, alongside developing software components that interact with robotics, computer vision, and other fulfillment center technologies.

Senior Delivery Consultant for AI/ML within AWS Professional Services in ASEAN. Focuses on advising customers on ML solutions on AWS, leading engagements from pre-sales to delivery, and architecting scalable ML solutions. Requires strong business and technology depth in ML, with implementation experience in the cloud.

This role focuses on providing strategic oversight and mentorship for human-in-the-loop and model-in-the-loop data pipelines used for LLM training and evaluations. The consultant will ensure data quality, champion knowledge sharing, and collaborate with AI teams to optimize data collection and model performance.

Full Stack Software Engineer for Amazon Leo's satellite network SaaS platform. The role involves designing and building multi-layered services for real-time data collection, network analysis, and fault identification. Key responsibilities include developing automated runbook triggers, leveraging ML/AI for anomaly detection, root cause analysis, and impact prediction, and building data-driven KPI systems. The engineer will also provide technical leadership and mentorship.

Software Developer role focused on automating international expansion launch strategies for Amazon by building customer-facing features. The role involves leveraging Machine Learning models to solve complex problems within a distributed e-commerce environment, impacting millions of customers globally.

This role focuses on building and operating AWS cloud offerings that enable high performance and scalability for AI/ML and HPC workloads, specifically targeting generative AI training and inference. The Systems Development Engineer will work on server designs, optimizing price-performance, and ensuring reliability and scalability of the underlying hardware infrastructure.

Software Development Engineer for AWS Neuron Foundation Tools Team, responsible for developing and maintaining high-performance monitoring and profiling tools for AI accelerators (Inferentia, Trainium). Focus on optimizing AI workloads by providing insights into performance bottlenecks and system behavior, improving ML Kernels and Frameworks. Manages the full development life cycle of the Neuron Profiler/Tools toolchain, collaborating with cross-functional teams on C++ compiler and runtime, and supporting frameworks like PyTorch, JAX, and XLA.

Data Scientist II for AWS Managed Operations Intelligence (MOI) team. Responsible for the end-to-end data science lifecycle, including data exploration, ETL, model development, and data visualization, leveraging various analytical and AI frameworks to solve complex business problems and drive data-driven transformation. Focuses on reducing operational load and toil through long-term engineering projects.

Senior Software Development Engineer on the Device Diagnostics and Troubleshooting team, building systems leveraging Generative AI for proactive detection and root cause identification in Amazon Devices. Role involves technical leadership, system architecture, mentoring, and operational excellence.

Software Development Engineer in Test focused on AI-enhanced automation for camera SDKs, including audio/video pipelines, secure boot, and hardware abstraction layers, aiming to improve test coverage, reduce execution time, and enhance defect detection.

This role focuses on developing firmware for power and performance management on ML acceleration chips. The engineer will design and implement intelligent control algorithms, optimization strategies, and real-time decision-making systems, working closely with hardware architects and focusing on resource-constrained environments. The role involves building instrumentation and tracing capabilities for algorithm development and validation.

This role focuses on designing, delivering, and operating next-generation server infrastructure for AI training and inference workloads within AWS. It involves collaborating with various engineering teams and suppliers to ensure high performance, efficiency, and scalability of the hardware systems that power AI/ML and HPC in the cloud.

This is an internship role for Software Development Engineers at Amazon, focusing on building and operating innovative products and services. Interns will work on scalable cloud-native architectures, participate in code reviews, and contribute to technical documentation. A key responsibility involves leveraging and contributing to GenAI and AI-powered tools to improve development productivity. The role requires experience with at least one general-purpose programming language and data structure/algorithm fundamentals, with a preference for prior internship experience or AI-related experience.

This role is for a Senior Data & AI Cloud Architect within AWS Professional Services. The primary focus is on designing, implementing, and managing AWS solutions for customers, with a strong emphasis on data infrastructures and AI programs. While the role involves working with AI programs and data infrastructures, the core craft is cloud architecture and solution delivery, not direct AI/ML model development.

Data Science Manager role at Amazon PXT Central Science, focusing on leading a team to build structural and predictive models, leverage data science workflows, and drive innovations for customer impact. The role involves team management, technical direction, and strategic planning, with a focus on improving Amazon and the lives of Amazonians through economics, behavioral science, statistics, machine learning, and Generative AI.

Software Development Manager for the NKI Compiler Team at Amazon Annapurna Labs, focusing on developing and optimizing a new compiler for AWS custom ML hardware (Inferentia and Trainium chips). The role involves leading a team of compiler engineers to deploy compiler optimization algorithms and a new compiler at scale, targeting AWS ML accelerators. The team works on the AWS Neuron SDK, including an ML compiler and runtime, integrating with frameworks like PyTorch and TensorFlow. The role requires strong leadership, technical expertise in compilers, and collaboration with AWS ML services teams.

Director, Applied Science role focused on Stores Economics and Science, leveraging economics, statistics, and machine learning to optimize Amazon's buyer-seller economy. The role involves leading the development of scientific models, collaborating with scientists and engineers on data analysis and validation, and translating analysis into actionable business strategies. It requires strong economic expertise, modern data science tools, and the ability to communicate complex findings to business partners.

Software Developer Engineer II role focused on building customer-facing features for Amazon's international expansion, leveraging Machine Learning models to solve real-world problems in a highly distributed environment. The role involves designing, developing, and operating software solutions that impact e-commerce revenue across numerous countries.

This role focuses on designing and implementing complex AWS solutions, with a specific emphasis on Data/AI programs and GenAI implementations including LLMs, RAG, and vector databases. The role involves acting as a trusted advisor to customers, leading technical teams, and ensuring successful cloud adoption and migration strategies.

Senior Manager, TPM to lead a portfolio of high-impact, cross-functional programs and mentor a team of TPMs delivering AI-driven communication products at global scale. The role focuses on program management and team leadership for AI-powered communication products, not direct AI/ML model development.

The role focuses on designing and optimizing hardware (ASICs) for AWS's machine learning servers, specifically for inference acceleration. This involves integrating subsystems, implementing RTL, analyzing trade-offs for performance, power, and area, and working with various engineering teams throughout the design cycle.

ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, developing and maintaining tooling (fuzzers, specification synthesis) for an LLVM-based compiler that optimizes ML models for custom ML accelerators (Inferentia/Trainium). Focus on accuracy and reliability of the compiler stack.