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Senior Machine Learning Engineer, AWS Generative AI Innovation Center Tokyo, JPN Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities Our ML Engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for the intersection of software development with generative AI and machine learning. You'll also: - Solve

Software Development Engineer II, Amazon Manufacturing Services (AMS) Bellevue, Washington, USA Do you want to build software that changes how physical things get made? Amazon Manufacturing Services (AMS) runs 135+ machines producing custom parts for over 100 Amazon organizations. We are building the next generation of services and applications that digitize shop floor operations, integrate with enterprise manufacturing platforms, and lay the groundwork for intelligent production scheduling. You will work across the full stack - React applications for operators and planners, event-driven backend services processing manufacturing data in real time, and integration bridges connecting AMS to enterprise ERP, PLM, and MES systems. The team is small, the technical surface is broad, and the users are in the building. Key job responsibilities * Design, build, and operate services on AWS Lambda, DynamoDB, S3, SNS, SQS, and Step Functions using event-sourced, domain-driven architecture patterns * Build React web applications using the Cloudscape Design System for manufacturing operators, planners, and engineers * Integrate AMS services with enterprise platforms through event-based and API-based integration patterns * Design and implement API models, CDK infrastructure, and CI/CD pipelines for new services * Collaborate with senior engineers on system design, code reviews, and architecture decisions A day in the life Your day starts with a standup alongside SDEs, data engineers, and manufacturing stakeholders. You pick up where you left off on a React component that displays real-time resource status for shop floor planners. After lunch, you shift to a backend service, designing a DynamoDB schema for part

Senior, RN/ TR/ SKIMS Retail Brand/Experience Seoul, Korea posted: Posted Today

Floor Manager (Coach) - NIKE LIEGE Liege, Belgium posted: Posted 9 Days Ago

Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center Seoul, KOR Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Deep Learning Architect, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them

Software Dev Engineer, AWS Infrastructure Security, AWS InfraSec Security Products and Services Seattle, Washington, USA We are building the next generation of physical security automation for AWS data centers worldwide. Our team develops software that accelerates how security devices - think cameras, access control systems, and intrusion detection - are provisioned, monitored, and managed across hundreds of global sites. As an SDE on this team, you will primarily work on Skyward, our security device lifecycle management platform, with a focus on Zero-Touch Provisioning (ZTP) - a program that automates the end-to-end provisioning of physical security devices from construction drawings through to operational readiness. You will also contribute to Red Zone Passport, the application stack that supports red zone security workflows - including mobile validation, access control, and device compliance tooling used by security teams on the ground. This work directly impacts the speed at which new AWS data centers come online. Key job responsibilities Design and build backend services, APIs, and orchestration workflows that automate security device provisioning at global scale Develop integrations with internal systems for device discovery, network configuration, and operational monitoring Build event-driven architectures using AWS services (Lambda, DynamoDB, SNS/SQS, Step Functions) to process device lifecycle events in real time Contribute to AI/ML-powered features that extract device metadata from engineering drawings and automate device naming and configuration Partner with security engineers, site project managers, and systems integrators to translate operational workflows into scalable software solutions Help evolve and maintain our red zone access and compliance platform, building

Senior, Product Engineering - Converse NIKE VIETNAM HQ posted: Posted 25 Days Ago

נציג/ת מכירות (משרה חלקית) Eilat, Israel posted: Posted 3 Days Ago

LMTS - AI Automation Engineer - Offensive Security India - Hyderabad We are looking for a Lead AI Automation engineer to design and build advanced AI-driven automation that supports offensive security and security research workflows. This is a deeply hands-on engineering role. You will work closely with the AI Automation Director and a small, agile team to implement orchestrated, agent-based automation-translating architectural direction into reliable, production-grade systems. The focus is on building automation that can reason over complex data, coordinate multi-step actions, and operate safely in real environments. This role is ideal for an experienced engineer who has built real AI systems, understands their limitations, and wants to apply them to complex, adversarial problem spaces. Key Responsibilities Design, implement, and maintain agent-based AI automation workflows under the technical direction of the AI Automation Director Build systems capable of: Reasoning over large and heterogeneous data sources Planning and executing multi-step workflows Grounding actions in real-world data Result-adaptive execution Implement core components, including: Agent logic and orchestration layers Tool interfaces and execution handlers State management, memory, and context handling Translate high-level automation designs into robust, testable implementations Integrate AI-driven workflows with existing services, data sources, and platforms Implement observability, logging, and debugging mechanisms for AI-assisted systems Participate in evaluation and iteration of prompts, workflows, and control logic Collaborate closely with security practitioners to ensure outputs are actionable and operationally relevant Contribute to engineering standards around safety, reliability, and change management Required Qualifications 9+ years of professional software engineering experience, with strong exposure

Applied Scientist II, Sponsored Products and Brands - Advertiser Growth and Strategies New York, New York, USA We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In this role, you will design agentic architectures, develop tools and datasets, and contribute to building systems that can reason, plan, and act autonomously across complex advertiser workflows. You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale. You will work backwards from the needs of advertisers-delivering customer-facing products that directly help them create, optimize, and grow their campaigns. Beyond building models, you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration, multi-step reasoning, and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems, collaborating closely with scientists, engineers, and product managers to bring innovative solutions into production. Key job responsibilities - Design and build agents to guide advertisers in conversational and non-conversational experience. - Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO). - Curate datasets and tools for MCP. - Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails. - Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning. - Prototype and iterate on multi-agent orchestration frameworks

Store Leader Maternity Cover Essex, GBR (Ks Braintree Outlet - Kate Spade) posted: Posted 30+ Days Ago

Relationship Manager 7 Locations posted: Posted 4 Days Ago

Senior Deep Learning Architect, Generative AI Innovation Center Tokyo, JPN AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run

Sr. Client Partner, Mid-Market Chicago, IL, US About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . As a Sr. Client Partner at Pinterest, you will develop and grow relationships with some of our most strategic and performance based advertisers in the Mid Market channel. Your primary responsibilities include meeting performance targets, developing new business, maintaining and expanding customer relationships, and resolving specific customer issues. By guiding clients' efforts, you'll

Financial Analyst I, FinOps-AR Operational Readiness Hyderabad, Telangana, IND Amazon FinOps - GAR Assurance Team Amazon FinOps is looking for a Business Analyst to be part of the GAR Assurance Team. As Finance Business Analyst at Amazon, you will have the opportunity to work on some of the largest data sets and help build data-driven operational strategies to adapt and be successful in ever-changing business environments. Key job responsibilities • Develop strategies to improve accuracy and timeliness of revenue management to ensure billing assurance • Developing internal finance controls based on industry best practices • Support revenue recognition policies and revenue generation standards • Lead projects to address key cross-functional issues spanning financial operations and vendor management • Deliver financial savings through process improvement and automation initiatives • Design and implement mechanisms to improve Operational Excellence culture • Translate business problems into efficient, scalable solutions using AWS services and data tools • Identify improvement opportunities through cross-team collaboration and brainstorming Basic Qualifications: - Bachelor's degree in computer science, engineering, mathematics or equivalent, or Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - • Overall 6+ years' experience with 4+ years of relevant experience in a business analyst/data analyst role - • Proficiency in AWS services such as S3, Lambda, SES, Step Functions, DynamoDB, and Redshift - • Proficiency in Amazon Quick Suite and Athena for data analysis and reporting - • Strong SQL skills for data querying and analysis - • Proficient

Applied Scientist - Agentic AI, Amazon Fulfillment Technology Bellevue, Washington, USA As an Applied Scientist in Amazon Fullfilment Technology, you will lead the development of agentic systems to assist with operational decision making and orchestration. You will work building full agentic systems leveraging multi-agent orchestration, tool use, memory, and action execution. You will train LLMs using a combination of rejection sampling approaches, SFT, continual post-training, and Reinforcement Learning (RL). These systems are deployed to Amazon buildings, and you will also work on rigorous offline and online evaluations. Your work will leverage the latest LLMs to develop capabilities for agentic reasoning, coding and analytics. You will also lead research projects to tackle unsolved problems, mentor interns, and author academic papers to summarize your findings for external publication. Key job responsibilities - Generating training and preference data for specific use cases (reasoning trajectories, tool traces) - Reward modeling and policy optimization for LLMs: DPO, IPO, RLHF/RLAIF with PPO/GRPO, rejection sampling. - Supervised fine-tuning on step-by-step trajectories and tool-use traces - Verbal Reinforcement Learning and Continual Learning - RL for LLMs, Offline RL and off-policy evaluation - Agentic memory/state management; episodic and semantic memory; vector search; grounding with RAG. - Evaluation: developing decision quality metrics, scaling LLM-based evaluations. About the team Amazon Fulfillment Technologies (AFT) powers Amazon's global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when

Early Talent - 2026 - D20 Pittsburgh - Store Leadership Trainee North Hills (0311)

Relationship Banker- Dundalk Dundalk, MD posted: Posted Yesterday

Process Improvement Manager, EU STEP Fulfillment Optimization Luxembourg, LUX The EU Fulfillment Optimization (EU FO) Consolidation team is looking for a Process Improvement Manager to own new initiatives/programs that drive box and delivery consolidation European network, focusing on FO systems. In this role, you will evaluate and scale programs, build structured frameworks, size opportunities through data analysis, and managing stakeholder alignment to directly impact cost, speed, and customer experience. Key job responsibilities 1. The ideal candidate is a highly analytical and critical thinker with advanced problem-solving, data analysis skills and can drive initiatives that benefit delivery consolidation as well as other cost, speed KPIs. 2. Identify and evaluate new programs requiring system (e.g. F2P) consolidation consideration and design structured approaches to improve their performance. 3. The candidate will be responsible for metrics and measurement across promise platforms and fulfillment optimization products to help evaluate inventory placement, fulfillment capabilities, and carrier capabilities - connecting these to delivery consolidation outcomes (UPB, UPPD). 4. Your work will have a direct impact on Amazon's cost and customer speed - by ensuring that new program opportunities are prioritized and receive the structured ownership, stakeholder alignment, and analytical rigor they need to scale. 5. Manage end-to-end program execution: define timelines, key milestones, stakeholder alignment SLAs, and program-specific KPIs; coordinate cross-functional alignment to ensure programs progress on schedule. 6. Interact with global stakeholders across SCOT, Supply Chain, and Operations to identify EU-related programs that can benefit from consolidation, and advocate the right tradeoffs at leadership level. 7.

Data Engineer II, NAST CX Tech Bellevue, Washington, USA The NAST Customer Experience (CX) Tech team is looking for a Data Engineer II to build and scale the data infrastructure that powers operational intelligence for Amazon's North American Surface Transportation (NAST) Linehaul network. You will design data pipelines, build analytical platforms, and develop AI-powered tools that operations leaders use daily to monitor performance, identify root causes, and drive decisions across a network that moves millions of packages every day. This is a high-impact role where your work directly shapes how leadership understands and acts on metrics like Delivery Estimate Accuracy (DEA), Process Failure Rate (Xenith), and trailer inspection quality (VTI). You will work across the full data stack from ingestion and transformation to AI tools and front-end delivery using AWS-native services and modern data tools and technologies. Key job responsibilities You will design and maintain scalable data pipelines that ingest and transform operational metrics from sources like Andes, Datanet, and Redshift using SparkSQL, Cradle, and AWS services (Glue, Lambda, S3, Step Functions). You will build and extend AI-powered analytical applications using AWS Bedrock, DynamoDB, and Python that generate automated performance summaries and insights. You will own data modeling for new metric onboarding, drive migration of legacy SQL workloads to modern platforms, manage infrastructure-as-code with AWS CDK across gamma and production environments, and implement monitoring, alerting, and validation frameworks to ensure pipeline reliability. You will collaborate with operations leaders and data scientists to translate business needs into data solutions that scale.

Welcome Coordinator Float KY - Louisville posted: Posted 30+ Days Ago

Senior Director, Affordability Lead 7 Locations posted: Posted Yesterday

Systems Development Engineer, Selling Partner API Risk Technologies Bengaluru, Karnataka, IND Selling on Amazon is one of the fastest growing businesses at Amazon.com, with more than 50% of all items currently sold originating from third-party sellers. The SP-API Risk Technologies team is looking for a Systems Development Engineer who will design, build, and operate infrastructure and automation systems that protect Selling Partner data and enforce compliance across Amazon's third-party developer ecosystem. You will own the full engineering lifecycle - from design through deployment and operations - building production-grade enforcement workflows, data pipelines, and automation frameworks that operate at scale across distributed AWS services. Our team is responsible for preserving Partner trust through developer gating, compliance monitoring, risk analysis, and policy enforcement. As a Systems Development Engineer, you will build the systems that power these capabilities: designing state machine workflow orchestration for enforcement actions, engineering CDK-based infrastructure for multi-region deployments, developing automated non-compliance and risk detection pipelines using Step Functions, Lambda, DynamoDB, and other AWS-native services, and creating proactive monitoring with fail-fast alerting across mission-critical jobs. You will write code held to Amazon Code Bar standards and work across Java, Python, and Scala to deliver solutions where no prior playbook exists. You will be a member of a world-class engineering team comprised of Software Development Engineers, Data Engineers, Business Intelligence Engineers and Systems Development Engineers, working in a fast-paced, collaborative environment. Key responsibilities include: - Designing and building enforcement automation systems that consolidate and orchestrate actions across multiple services - Engineering

נציג/ת מכירות (משרה חלקית) Eilat, Israel posted: Posted 11 Days Ago