Amazon Corporate Security’s (ACS) mission is to deliver a safe and secure workplace for all Amazonians. The Technology and Tools team within ACS develops, implements and maintains the technology and tools that enable other teams within Corporate Security. The Tech and Tools team is looking for an experienced Systems Engineer that can help deliver best-in-class physical security systems to our 1.7MM+ cardholder customer base. As ACS’s scope continues to grow, the Tech and Tools team is seeking the technical expertise that will help build on the current infrastructure and drive development of new solutions that will exceed our customer’s expectations. As a member of the team overseeing one of the largest Physical Access Control Systems in the world, the successful candidate must be comfortable with not only troubleshooting but deep diving to create solutions for issues that no other company has yet faced or solved for.Key job responsibilitiesOn a “typical” day engineers might deep dive to root cause of a customer issue, investigate why a metric is trending the wrong way, consult with the top engineers at Amazon, or discuss radical new approaches to automate operational issues.The systems engineer can look forward to: * Investigating new ways to improve operations and defining new solutions to solve technically complex issues.* Work with the development team to automate manual tasks and on tooling to enhance fleet maintenance* Investigating issues that impact major services and work to solve them before they impact customers.* Diving deep into service interdependencies and region-specific configurations to find the root of a problem.* Studying and continuously learning from industry recognized engineers.BASIC QUALIFICATIONS* Computer Science degree or equivalent work experience.* 4+ years of professional experience of software development or in related occupations (systems administration, DevOps engineering, site reliability engineering, networking/automation, software/systems development).* Experience building scripts, tooling, and automation using modern programming languages, such as: Java, C/C++, C#, Objective C, Python, JavaScript, Ruby, Powershell, Typescript, or Go* Proven track record of success in delivering complex projects.* Demonstrable track record dealing well with ambiguity, prioritizing customer needs, and delivering measurable results in a fast-paced environment* Thorough networking knowledge including DHCP, Firewalls and ACL* Thorough Windows server knowledge including AD, Windows Clustering and Server Management. ...

Prime Video (PV) brings together the world’s best creators with the most passionate communities in a way that no other entertainment brand can. Not only are we a one-stop hub for distinctive, critically-acclaimed and award-winning original programming including TV series such as The Boys, The Marvelous Mrs. Maisel and Jack Ryan and movies like Air, Saltburn, The Idea of You, and Road House, but we offer a multi-dimensional experience that allows subscribers to fully immerse themselves in their fandom: to read the book, to listen to the soundtrack, to buy the costume, to replay live sports in real time, and more. And that breadth and connection to the Amazon family of brands, along with the support of a passionate and diverse global team, makes Prime Video a company where creators and makers of all kinds can build their future.As the Ads Product Strategist on the Prime Video Marketplace team, you will play a key role in shaping the advertising experience and monetization capabilities of third party Marketplace content. You will be responsible for defining Marketplace business objectives, authoring policies and feature proposals, driving adoption of solutions across Amazon product roadmaps, and maximizing the value of our technology investments. This role is complex, strategic and inherently cross-functional. You must have an understanding of ad-supported video distribution and the needs of customers and publishers alike in order to define business requirements and align solution pathways across partnership, legal, product and engineering teams. You will represent the Marketplace advertising vision as you innovate with stakeholders, navigate complex decisions, influence leadership and advocate for technology solutions.Throughout your work, you will need to demonstrate strategic and long-term thinking as well as strong cross-functional leadership, stakeholder management, and communication skills to effectively drive Marketplace advertising initiatives and deliver tangible business results.Key job responsibilities- Define and drive ad monetization objectives for third party channels- Organize and prioritize business requirements for operational planning and investment cycles - Translate deal requirements for engineering teams to align roadmaps against critical launches- Evaluate and communicate progress against key metrics, goals and financial results - Inform strategy, policy and operational procedures to drive product adoption and scale advertising capabilities globally- Author strategy briefs and incubate initiatives to drive innovation against long-term business strategiesA day in the lifeAs a Marketplace Ads Product Strategist, you will represent the business vision across the variety of product and engineering teams that support Marketplace experiences. You will spend your time evaluating streaming and distribution services, engaging with customers to understand their needs, and collaborating with stakeholders to advance business objectives. About the teamThe Product and Growth Strategy team is a newly organized team in Prime Video focused on driving customer outcomes for our Marketplace business lines: third party subscription channels, rent and buy titles, and live streaming TV. The team's mission is to evangelize the Marketplace business strategy and vision across stakeholder organization and maximize the value of our technology investments across our video Marketplace.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 5+ years of product or program management, product marketing, business development or technology experience- Experience with product cycles of 6+ months- Experience owning/driving roadmap strategy and definition- Experience with video distribution and ad monetization mechanisms- Experience managing programs across cross functional teams- Experience influencing internal and external stakeholders- Experience interpreting data and making business recommendations ...

Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities. The Ad Response Prediction team in Sponsored Products organization build advanced deep-learning models, large-scale machine-learning pipelines, and real-time serving infra to match shoppers’ intent to relevant ads on all devices, for all contexts and in all marketplaces. Through precise estimation of shoppers’ interaction with ads and their long-term value, we aim to drive optimal ads allocation and pricing, and help to deliver a relevant, engaging and delightful ads experience to Amazon shoppers. As the business and the complexity of various new initiatives we take continues to grow, we are looking for talented Applied Scientists to join the team. Key job responsibilitiesAs a Applied Scientist II, you will:* Conduct hands-on data analysis, build large-scale machine-learning models and pipelines * Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production* Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving * Provide technical leadership, research new machine learning approaches to drive continued scientific innovation* Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and ConferencesBASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon is investing heavily in building a world class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses for driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.We are seeking a technical leader for our Supply Science team. This team is within the Sponsored Product team, and works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. The team operates with the dual objective of enhancing the experience of Amazon shoppers and enabling the monetization of our online and mobile page properties. Our work spans ML and Data science across predictive modeling, reinforcement learning (Bandits), adaptive experimentation, causal inference, data engineering.Key job responsibilitiesSearch Supply and Experiences, within Sponsored Products, is seeking an Applied Scientist to join a fast growing team with the mandate of creating new ads experience that elevates the shopping experience for our hundreds of millions customers worldwide. We are looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model– and leveraging this knowledge to help turn the flywheel of the business.As an Applied Scientist on this team you will:--Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.--Run A/B experiments, gather data, and perform statistical analysis.--Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.--Work closely with software engineers to assist in productionizing your ML models.--Research new machine learning approaches.A day in the lifeThe successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the direction is a must.About the teamWe are a customer-obsessed team of engineers, technologists, product leaders, and scientists. We are focused on continuous exploration of contexts and creatives where advertising delivers value to customers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on AmazonBASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...