Currently tracking 995 active AI roles, up 64% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $196k).
| Title | Stage | AI score |
|---|---|---|
| Principal Product Manager Tech - Ad Server, Publisher Decision Engine The Principal Product Manager Tech will own and improve Programmatic Guaranteed (PG) deal delivery within Amazon Ads. This involves creating roadmaps, designing algorithm inputs/outputs, defining requirements for algorithms that account for various factors like seasonality and revenue, and designing experiments to improve delivery rates. The role collaborates with engineering and applied science teams to optimize pacing algorithms, delivery planner targets, and ad selection logic, leveraging data analysis and controller theory. Experience in programmatic advertising and statistical modeling is preferred. | Serve | 5 |
| Software Development Engineer, Alexa Ads Software Development Engineer role focused on building and optimizing real-time audio ad serving pipelines and conversational AI integrations for Alexa devices. The role involves designing scalable full-stack technologies, enhancing ad targeting and personalization, and collaborating with Applied Science teams on AI-driven advertising products. |
| Serve |
| 5 |
| Security Engineer, IAM Stores Security Security Engineer role focused on building and operating security logging pipelines and developing monitoring/detection capabilities for AI/ML workloads and AWS infrastructure at Amazon scale. The role involves programming, security frameworks, incident response, cloud security, and securing applications integrating LLMs/generative AI. | Serve | 5 |
| Senior Solutions Architect, Media & Entertainment, AWS Plus Team Senior Solutions Architect for AWS Plus team supporting Prime Video, Prime Video Sports, and Amazon MGM Studios. The role involves advising on cloud strategy, architecting media and entertainment workloads, and guiding AI adoption using services like SageMaker and Bedrock for model hosting and GPU optimization for inference and training. The focus is on production-scale AI workloads within the media and entertainment domain. | ServePost-train | 5 |
| Senior Applied Scientist, Annapurna ML Senior Applied Scientist to work on AI and program analysis for a deep learning compiler stack, optimizing models for ML accelerators (Inferentia, Trainium). Role involves designing, developing, and deploying analyzers for ML compiler stages, architecting business-critical tooling, publishing research, and mentoring. Focus is on compiler technology and deep-learning systems software, with a preference for ML/AI accelerator background. | Serve | 5 |
| Neuron Runtime Software Development Engineer , Neuron Runtime Software Development Engineer responsible for developing and maintaining high-performance runtime libraries and drivers for AWS ML accelerators (Inferentia and Trainium). The role involves managing the full development lifecycle of the Neuron Runtime, optimizing AI workloads, improving ML kernels and frameworks, and supporting multiple ML frameworks. Requires experience in distributed systems, AWS services, and end-to-end service ownership. | Serve | 5 |
| Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators This role focuses on building and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads, specifically designing and delivering server hardware for AI training and inference. The candidate will work across the full technical stack from baremetal hardware to userland software, solving complex architectural problems related to server systems, their testability, reliability, and diagnosis, with the goal of delivering continuous price-performance improvements for large language models at cloud scale. | Serve | 5 |
| Software Development Engineer II, DynamoDB Software Development Engineer II on the DynamoDB Capacity and Customer Entitlement team, responsible for designing and building production systems that optimize capacity planning and fleet scaling for DynamoDB's infrastructure. This role involves developing automated scaling algorithms, capacity management tools, and operational workflows, including building ML-integrated prediction systems for demand forecasting and capacity allocation. | Serve | 5 |
| Software Development Engineer, AWS Software Development Engineer role at Amazon Web Services (AWS) focusing on building and maintaining code, implementing software solutions, and collaborating with cross-functional teams. The role also mentions potential specialization in Artificial Intelligence/Machine Learning and Healthcare AI, with preferred qualifications in ML frameworks and fundamentals. | Serve | 5 |
| Software Development Engineer, AWS Central SDE Team Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development. | Serve | 5 |
| Data Engineer, Seller Partner Trust and Store Integrity Science Data Engineer role focused on building and maintaining scalable data infrastructure and pipelines to support ML model training and inference for fraud prevention in e-commerce. The role involves processing large volumes of data, optimizing ETL processes, ensuring data integrity, and collaborating with scientists to productionize ML models, with a focus on low latency and high reliability for inference. | Serve | 5 |
| Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators This role focuses on designing, delivering, and operating AWS cloud offerings that enable high performance and scalability for AI/ML and HPC workloads, specifically targeting continuous price-performance improvements for large-scale LLM training and inference. The candidate will work across the full technical stack from baremetal server hardware to userland software, acting as a technical leader and systems debugger. | Serve | 5 |
| Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators 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. | Serve | 5 |
| Software Engineer - ML and Distributed Systems, Amazon Personalize Software Engineer role focused on building and scaling a large-scale machine learning platform for Amazon Personalize, an AWS service that provides individualized recommendations. The role involves architecting and developing the platform, optimizing performance, and creating solutions for distributed systems. | Serve | 5 |
| Software Dev Engineer Intern, (Sustaining Operations) 2026 Shanghai Software Development Engineer Intern role focused on building AI-based automation technology operations platforms. Responsibilities include designing and developing scalable user interfaces, data structures, and algorithms, with a need to understand basic AI/ML algorithms. Requires collaboration with engineering teams for feature implementation and deployment. | Serve | 5 |
| Image Quality Sys Dev Engineer, System Dev Engineer This role focuses on optimizing the image processing pipeline (ISP tuning) for Ring cameras, ensuring high-quality images across various conditions. It involves deep technical work on camera hardware, ISP algorithms, and system validation, with an emphasis on AI-enhanced imaging techniques and developing systematic solutions for image quality challenges. | Serve | 5 |
| Software Development Engineer, Neuron Foundation Tools Software Development Engineer responsible for developing and maintaining high-performance monitoring and profiling tools for AWS Neuron AI accelerators (Inferentia and Trainium). The role involves managing the full development lifecycle of the Neuron Profiler/Tools toolchain, optimizing ML Kernels and Frameworks, and collaborating with compiler and runtime teams to provide insights for customer optimization of AI workloads. | Serve | 5 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer role focused on building and owning Tier 1 services for Amazon Ads' Sponsored Products and Brands. The role involves designing, developing, and maintaining highly available, scalable systems that determine ad eligibility and serve ads to millions of customers. It leverages generative AI technologies and involves working with numerous machine learning models within a low-latency, high-scale ad serving workflow. | Serve | 5 |
| Embedded Software Engineer, Annapurna ML Software Embedded Software Engineer role focused on developing and optimizing software and firmware for Annapurna Labs' next-generation machine learning platforms, specifically the NeuronSwitches interconnect fabric for Trainium chips. The role involves hardware/software co-design, device driver development, ML infrastructure, and ensuring high-performance data movement for AI workloads. | Serve | 5 |
| Software Development Engineer, Neuron Foundation Tools Software Development Engineer responsible for developing and maintaining high-performance monitoring and profiling tools for AWS Neuron AI accelerators (Inferentia and Trainium). The role involves managing the full development lifecycle of the Neuron Profiler/Tools toolchain, optimizing ML Kernels and Frameworks, and collaborating with compiler and runtime teams to provide insights for customer optimization of AI workloads. | Serve | 5 |
| Principal Product Manager - Kernels, AI/ML, Annapurna Labs The Principal Product Manager will define and drive product strategy for the Neuron Kernel Interface (NKI), a compiler library for custom kernel development and optimization on AWS Neuron ML chips. This role involves working backward from customer needs, defining kernel library features, and improving the developer experience for custom kernel development, requiring a deep understanding of compiler systems, kernel optimization, and hardware acceleration. | Serve | 5 |
| Sr. Worldwide Specialist Solutions Architect - HPC/ML, Computer Aided Engineering (CAE), Weather & GPU Computing 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. | Serve | 5 |
| Software Development Engineer 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. | Serve | 5 |
| Software Development Engineer 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. | Serve | 5 |
| Software Development Engineer 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. | Serve | 5 |
| Software Development Engineer 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. | Serve | 5 |
| Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators 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. | Serve | 5 |
| Software Development Engineer, Neuron Foundation Tools 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. | Serve | 5 |
| ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs 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. | Serve | 5 |