Amazon

This role involves developing bare metal firmware for custom ASIC-based ML Accelerator chips, focusing on hardware/software co-design for machine learning systems. The primary responsibility is to drive neural network model execution on these custom silicon solutions.

Principal Technical Product Manager for quantitative analysis products within Decision Science at Amazon Devices. This role bridges science teams and business stakeholders, translating complex model outputs into actionable business strategies for key device portfolios. The ideal candidate has scientific fluency, product management excellence, and business acumen to shape how Amazon Devices uses quantitative science for decision-making, from forecasting to portfolio optimization.

Software Development Engineer role focused on backend systems for consumer devices (Ring), emphasizing low-latency, high-uptime systems and iterative development. The role involves leveraging generative AI tools to improve development processes.

Product Marketing Manager for Amazon Connect, a cloud contact center solution. The role involves shaping go-to-market strategy, crafting compelling content, understanding customers and the market, engaging with stakeholders, planning and executing marketing initiatives, and working with field and marketing teams to drive global initiatives. The role leverages AI and machine learning technologies that serve millions of customers.

Principal Data Scientist for Prime Video Personalization and Discovery team, focusing on developing next-generation measurement and experimentation systems to influence customer content discovery. Requires experience in building large-scale experiment-based measurement systems, strong stakeholder communication, and balancing technical rigor with delivery speed.

This role focuses on consulting with AGI-DS scientists on ML/Gen AI data collections, managing customer relationships, and driving business value through technical advisory. The Data Solutions Lead will transform research objectives into data collection requirements, coordinate delivery, and monitor collection health metrics.

This role focuses on building and optimizing large-scale distributed systems for Amazon's Sponsored Products and Brands advertising, with a specific emphasis on applying Generative AI (GenAI) and Large Language Models (LLMs) to enhance ad relevance, personalization, and shopping experiences. The engineer will work on the full stack, from backend services to shopper-facing interfaces, aiming to integrate AI seamlessly into the advertising ecosystem.

This role is for a Senior Program Manager in Amazon Logistics (AMZL) focusing on Last Mile technology. The SME will partner with technology and operations teams to prioritize, develop, optimize, and sustain technology and processes. While the role mentions leveraging AI and ML to transform decision-making and automate human decisions, the core responsibility is program management, defining requirements, prioritizing enhancements, and driving adoption of technology solutions within the last mile network. The primary output is improved operational processes and technology adoption, not the direct building or research of AI models themselves.

This role is for a Principal Design Technologist focused on designing and building AI-native experiences using generative AI and LLMs. The role involves hands-on prototyping, strategic technical leadership, and cross-functional collaboration to shape the future of AI-powered user experiences within Amazon's Velocity Labs.

Senior Applied Scientist role focused on developing and optimizing machine learning and GenAI solutions for Amazon's Last Mile delivery network. The role involves building mathematical models, improving algorithms, and contributing to production systems to optimize delivery capacity, customer experience, and operational costs. Requires strong analytical skills, experience with ML model development, and ability to work with large datasets.

Account Manager for Software Companies focused on guiding them through the transition to AI-native and agentic architectures, leveraging AWS services.

This role is for a Senior Solutions Architect in Healthcare, India, focusing on enabling industries to build innovative services with AWS. The architect will own technical engagements, develop deep expertise in AWS technologies, and design IT systems deploying at scale. They will evangelize adoption of new technologies, identify patterns and best practices, and advise on various technologies including Generative AI, AI/ML, data, analytics, compute, containers, and serverless. The role requires customer-facing skills, strategic thinking, and the ability to architect for high availability, scaling, cost minimization, and security. Experience in architecting/building/implementing Healthcare domain solutions is preferred.

This role is for a Senior Partner Solutions Architect with domain expertise in the Healthcare industry, focusing on shaping and evangelizing repeatable industry solutions built on AWS. The role involves working with partners and customers to accelerate cloud adoption, modernize core systems, and develop new healthcare solutions, including those leveraging Generative AI and Agentic technologies. The ideal candidate will have deep technical skills in software architecture, data privacy, security, and healthcare compliance, along with strong customer-facing and sales skills.

This role focuses on Go-To-Market (GTM) strategy and execution for analytics services within the Media, Entertainment, Games & Sports industry on AWS. The specialist will collaborate with sales, partners, and marketing teams to drive adoption and revenue, leveraging expertise in Data & AI technologies, including Generative AI workloads. The role involves understanding customer problems, leading cross-functional initiatives, developing business plans, and providing market feedback to internal teams. While the role involves working with AI/ML technologies and deploying Generative AI workloads, the core function is GTM strategy and sales enablement, not direct AI/ML model development or research.

Program Manager for AWS Legal, focusing on developing and implementing systems and processes for regulatory compliance. The role involves cross-functional collaboration, project management, and leveraging AI tools to improve efficiency in compliance processes.

The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation and labeling for ML model training and evaluation. This role collaborates with product, technology, and science teams to ensure high-quality annotated data and improve annotation processes.

This role focuses on owning the data science elements of various products, including data-based decision making, product performance optimization, and tracking. The Data Scientist III will work with product managers to drive product design and build planning, translate business problems into data requirements and metrics, and initiate the design, development, and implementation of scientific analysis projects. Responsibilities include owning analysis, modeling, system design, and development of data science solutions, as well as communicating results to the business and building consensus on data strategy.

Research Scientist role focused on developing forecasting and optimization models using ML and GenAI to support real estate and store planning decisions for Amazon's grocery business. The role involves analyzing data, building end-to-end solutions, and presenting findings to leadership.

This role focuses on designing and implementing cloud architectures for Healthcare and Life Sciences (HCLS) customers using AWS services, with a significant emphasis on AI/ML and Generative AI use cases. The Solutions Architect will build prototypes, conduct architectural discussions, and support customer adoption journeys, acting as a technical liaison between customers and AWS.

Senior Delivery Consultant for AI/ML at AWS Professional Services in ASEAN, focusing on advising customers on ML solutions on AWS, leading engagements from pre-sales to delivery, and driving business value through ML implementations.

This role involves building intelligence and analytical frameworks for customer growth in emerging markets, using data mining, statistical, and machine learning techniques. The Sr. BIE will drive the analytics roadmap, collaborate with stakeholders, and implement data flow solutions, with an "AI first mindset" for evolving business analytical requirements.

Actuary role focused on building underwriting and claims models, developing forecasts, and creating cloud-based modeling tools for risk management and insurance programs within Amazon's global operations. Requires strong data science and machine learning modeling experience.

Software Development Engineer III role in Amazon FinTech's Delta team, focusing on architecting and developing scalable financial systems. The role involves leveraging AI/ML for compliance monitoring, anomaly detection, and SDLC monitoring, with a strong emphasis on technical leadership, architectural decisions, and driving innovation in financial technology.

This role is for a Data Engineer on the Worldwide Grocery Store Tech (WWGST) Data & Analytics team. The primary focus is on architecting data infrastructures and developing advanced data pipelines. The team is described as an 'AI-first team' aiming to deliver analytics using AI in 2026. The role involves collaborating with Data Scientists to implement advanced analytics algorithms and machine learning, but the core responsibilities are data engineering.

Sales leader for a global account manager role at Amazon Web Services (AWS) focusing on a large insurance company in EMEA. The role involves managing customer relationships, developing sales strategies, and driving cloud adoption and AI-driven transformation. It requires understanding emerging technology trends like AI/ML and generative AI to support customer innovation and influence product roadmaps.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, and maintaining strict confidentiality. This role involves delivering high-quality labeled data using provided guidelines and in-house tools to support the development and deployment of AI responsibly. The associate will analyze root causes, identify error patterns, and propose solutions to enhance labeling quality and operational efficiency.

The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems.

The role involves performing quality audits on data submitted by Data Associates, validating automated quality measurement systems through manual reviews, and coaching Data Associates to maintain high standards of data quality for AI development and training. The primary focus is on data quality assurance for AI training.

This role focuses on consulting with AGI-DS scientists on ML/Gen AI data collections, managing customer relationships, and driving business value through technical advisory. The lead will transform research objectives into data collection requirements, coordinate delivery, and monitor collection health metrics. While it involves ML data operations and understanding ML workflows, the core function is product management and customer advisory for data solutions, not direct AI model building or research.

This role is a Data Solutions Lead at Amazon, focusing on ML/Gen AI data collections and customer relationships. The lead will consult with AGI-DS scientists, manage workstreams for data collection requirements, and ensure seamless delivery. Key responsibilities include driving effective ML/GenAI solutions, coordinating across teams, owning customer scientist relationships, providing consultation on ML workflow capabilities, and monitoring collection health metrics. The role also involves guiding customers on workflow feasibility, collaborating on technical requirements, evaluating annotation scenario scalability, and influencing technical documentation.

This role is for a Software Development Manager on Amazon's Selection Monitoring team. The team uses AI/GenAI, machine learning, and deep learning algorithms to process billions of products from millions of sources to identify and add products to the Amazon catalog. The role involves leading a team to build and launch scalable services for data integration, entity resolution, and storage, focusing on improving product information, search, and discoverability. The manager will define technical vision, drive operational excellence, and manage the career growth of their team members, working with large-scale distributed systems and data processing.

This role focuses on developing and deploying machine learning models and analytical frameworks to optimize AWS data center infrastructure performance, including availability, efficiency, and reliability. The Senior Data Scientist will work with large-scale operational datasets, collaborate with various engineering teams, and translate complex findings into actionable recommendations for leadership. The role involves the full data science workflow, from data acquisition to production deployment, with an emphasis on scalable solutions and measurable impact.

Solutions Architect III role focused on designing and implementing data and AI solutions on AWS, including data pipelines and leveraging various AWS data and AI services. The role involves technical consultancy, maturity assessments, and roadmap definitions, acting as a Subject Matter Expert.

This role focuses on defining and executing Go-to-Market (GTM) strategies for Amazon Bedrock, a service hosting foundation models. The responsibilities include accelerating customer adoption, influencing product direction, developing joint GTM plans with model providers, customer engagements, evangelism, and creating demos/proof-of-concepts. The role requires a blend of business and technology expertise, with a strong understanding of the Generative AI market and use cases, to engage with customers from startups to enterprises and internal AWS teams.

Senior Product Manager for Amazon Aurora, focusing on defining product requirements and roadmaps for database services, with an emphasis on integrating generative AI capabilities to improve user experiences and product features.

Product Manager for Amazon Aurora, focusing on defining product strategy, requirements, and go-to-market plans for database services, with an emphasis on integrating generative AI capabilities.

This role focuses on leveraging econometrics and ML models to optimize advertising strategies, influence business decisions, and perform hands-on analysis with large datasets. The Economist will work closely with software engineers to productionize models and run A/B experiments, impacting millions of customers.

Senior Product Manager for Amazon Aurora, focusing on defining product requirements and roadmaps for database services, with an emphasis on integrating generative AI capabilities to improve user experiences and product features.

Security Engineer role focused on securing foundational AWS compute and networking systems, including those powering generative AI workloads. The role involves designing security controls, providing architectural guidance, building automated security guardrails, and leveraging AI tools to enhance security assessments and threat detection. While the role touches on AI-native development and uses AI tools, its core craft is security engineering for cloud infrastructure, not building AI models or agents.

Solutions Architect for AWS India, focusing on EdTech organizations. Responsibilities include owning technical engagements, designing scalable IT systems, advising on various AWS technologies including Generative AI, AI/ML, data, analytics, compute, containers, and serverless. The role requires customer-facing skills, strategic thinking, and the ability to architect for high availability, scaling, cost optimization, and security.

This role is for a Sr. Technical Program Manager at Amazon Prime Video, focusing on Partner Experience Engineering. The role involves leading core programs for Prime Video partners (studios, content creators) to ingest content, working across multiple organizations, and acting as a technical representative with external partners. A key aspect is applying ML and Generative AI capabilities to improve partner and customer experiences in the entertainment supply chain. The role requires planning for a 30+ developer team and inventing using appropriate frameworks and technologies.

This role is a Senior Solutions Architect focused on helping Independent Software Vendors (ISVs) leverage AWS cloud capabilities, particularly in Data, Analytics, and Generative AI. The architect will own the technical relationship with customers, provide strategic guidance, design reference architectures, and drive adoption of AWS services to enhance customer offerings and accelerate innovation.

Software Development Manager for Alexa Daily Essentials, leading teams in Customer Artifact Management (ingesting/processing customer content like PDFs, images), Notes & Memory (intelligence layer for remembering/reasoning over customer info), and GenAI Tooling (internal GenAI tools for engineering productivity). The role owns full-stack development, including backend systems and ML pipelines, and drives GenAI adoption.

This role focuses on working with venture capital firms and angel investors to accelerate the success of their portfolio companies on AWS. The manager will leverage technical understanding of cloud and emerging technologies like generative AI, combined with business acumen, to identify opportunities and ensure startups have access to the necessary tools and support to build products on AWS infrastructure. The core function is to facilitate growth and innovation for startups within the AWS ecosystem, acting as a technical advisor and supporting investor-focused programs.

The role focuses on building data models and ML data infrastructure to power pricing algorithms and improve operational/reporting efficiency using GenAI solutions. It involves designing and implementing data pipelines, managing AWS resources, and transforming data from various sources.

This role is for a Sr. GenAI Partner Development Manager on the AMER Tech Partners team, focusing on ISV partnerships within the Generative AI space. The primary responsibility is to lead go-to-market strategy and manage partnership relationships with strategic Generative AI ISVs to drive adoption of AWS cloud computing platform and revenue opportunities. The role involves defining and executing joint sales and GTM programs, engaging with partner sales organizations and end customers, developing strategic partner plans, managing revenue targets and pipelines, and collaborating with internal AWS teams and external partners to ensure customer success with AWS services. The role also requires understanding technical requirements to guide product offerings and using analytics tools to track metrics and prepare business reviews.

This role is for a Senior Solutions Architect focused on security integrations for Independent Software Vendors (ISVs) on AWS. The primary focus is on helping customers leverage AWS cloud capabilities, particularly in data, analytics, and Generative AI, to enhance their offerings and drive mutual success. The role involves technical advocacy, architectural design discussions, providing prescriptive guidance on AWS technologies, and formulating strategies for AWS service adoption. While Generative AI is mentioned as an area of focus, the core responsibilities revolve around cloud architecture, customer engagement, and driving adoption of AWS services, rather than directly building or shipping AI models.

This role is for a Sr. Manager, Strategic Planning & Operations within Amazon's Core Science and Engineering organization. The primary focus is on talent evaluation and development, leveraging advanced machine learning technologies and partnering with PXT and leadership to drive initiatives and operational excellence. While the role operates within an organization that deploys AI/ML solutions, the core responsibilities are strategic planning, business operations, leading initiatives, and developing frameworks, rather than direct AI/ML model development or deployment.