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Have you ever wondered what it takes to build intelligence into enterprise systems so that we can enable near human-like conversations with our systems? Come join Amazon Lex where we are working on state-of-the-art conversational approaches.
Why Amazon Lex?
Amazon Lex is a platform for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”).
What is special about the team?
Come be a part of a well-balanced team with diverse experience that is making strides in evolving the conversational platform for Amazon Web Services (AWS). The team, a tight-knit group, operates in a fast-paced and fun environment where accuracy, timeliness, quality and security form the operative cornerstones. As owners of the entire lifecycle, team members participate in a shared customer resolution program to delight customers. Additionally, the team has collaborative leaders in various roles - product development, natural language science and engineering management who form the critical support structure for delivering innovative features.
What will I work on?
Come work on new features as well as green-field projects where you can make a significant positive impact on a community of international customers. As a Software Development Engineer, you should have a passion for delivery, drive for excellence and penchant for quality. You will practice development practices such as load testing and continuous deployment while solving technical challenges in system design, distributed computing, algorithms and back-end services.
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Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. What will you help us create?
We are a smart team of doers that work passionately to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet.
Responsibilities:
· Contribute to the design of useful, usable, and desirable user interfaces in a team environment.
· Create user-centered designs by considering market segment analysis, customer feedback, site metrics, and usability findings.
· Contribute to the brand experience, visual communication, and marketing design initiatives.
· Use business requirements and customer research to assist in developing scenarios, use cases, and high-level requirements.
· Design the visual style, interface, and interaction flow of applications and experiences,
· Drive the design review cycle and close on design requirements independently.
· Develop conceptual diagrams, wireframes, visual mockups, click-throughs, and prototypes.
· Develop and maintain detailed user-interface specifications and design patterns.
· Present design work to the user experience team, product team, and Amazon executives for review and feedback.
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Alexa is the groundbreaking, cloud-based intelligent agent that powers Echo and other devices designed around your voice. Our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers.We’re looking for a Software Development Manager to help build industry-leading conversational technologies that customers will love.
As a Software Development Manager for the Alexa team, you will be responsible for leading a team of research engineers and driving the design, development, testing, and deployment of large-scale interactive systems from AI and NLU research initiatives. A successful candidate will have an established background in managing the development of existing code, scaling systems with large data sets, automation, developing customer-facing experiences, and delivering results in a fast-paced environment. Additional responsibilities include:
- Hiring, developing, and mentoring researcher engineers, and managing the day-to-day activities of the engineering team in an Agile/Scrum environment
- Working closely with engineers to architect and develop the best technical designs and implementations of advanced AI algorithms
- Owning the strategic planning and project execution for long-term engineering projects, creating value for our customers
- Managing the overall systems development life cycle
- Communicating effectively with senior management as well as with colleagues from research teams, software engineering teams, and other technical and business teams
- Regular reporting on the status of development, quality, operations, and system performance to management
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Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?
The Role:
As a Senior Technical Program Manager, you will engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products. In this role, you will:
* Work with key stakeholders in product management and executive teams to define strategy and requirements
* Lead cross functional development on new technology from design through delivery
* Work with remote teams to deliver supporting software and services in sync with launch timelines
* Communicate regularly with senior management on status, risks and change control To learn more about Technical Program Management, click here: http://amzn.to/2ieLRRn
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The AWS Forecasting team is looking for a Senior Program Manager to improve our scalability and customer experience for the internal AWS services using our products. Our team is responsible for forecasting the world's largest Cloud. The challenge is finding the optimum tradeoff between AWS service availability and fleet utilization, where a 1% improvement to utilization means millions of additional free cash flow. We own the development of methods and tools used by service owners and finance partners to forecast and plan service usage, infrastructure, and revenue. Our systems help business owners evaluate and make decisions about their service forecasts relative to their availability, utilization, revenue, and cost plans and goals. Our forecast and other demand signal outputs are used by the downstream infrastructure supply chain organization to drive server, network, and data center investments.
In this role, you will own programs end-to-end, which increase service owner engagement with AWS forecasting. The goal of these programs is to improve resource efficiency and customer availability by improving forecast accuracy and identifying and motivating services to leverage efficiency opportunities. Your specific responsibilities include:
- Incorporating service teams’ product launches, customer scaling events, and engineering changes into the forecast used to invest in AWS assets
- Identifying and making visible metrics and efficiency opportunities for service owners to execute
- Drive service teams to leverage their hardware flexibility to improve availability for constrained hardware and to use idle hardware before spending money on new
- Work closely with Product Managers to ensure they are launching scalable products that enable you and your customers to achieve more without more effort, and BIEs to develop reporting and alarms to ensure your teams are on track
The ideal candidate has an understanding of how tech teams use hardware, the ability to build trusting relationships with customers, excellent project management skills, great influencing skills, and a motivation to achieve results in a fast-paced environment. In addition, candidates should demonstrate a passion for working on behalf of customers and the ability to operate independently and autonomously.
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Interested in Machine Learning, and empowering the world to do more and better machine Learning? With Amazon SageMaker, Amazon Web Service's (AWS) Machine Learning platform team is building customer-facing services to catalyze data scientists and software engineers in their machine learning endeavors. This product is a blend of HTTP API's, low and high-level SDK's, and an AWS Console UI. .
As part of the ML Platform Frontend team, you will design, implement, test, document, and deliver the user experiences for our new AWS machine learning services. This can involve innovative UI's and further down the stack at the webserver/API layer. You'll assist in gathering and analyzing business and functional requirements, and translate requirements into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture. You will serve as a key technical resource in the full development cycle, from conception to delivery and maintenance. You will produce comprehensive, usable software documentation; recommend changes in development, maintenance and system standards. You will own delivery of entire piece of the system and serve as technical lead on complex projects using best practice engineering standards, and hire/mentor junior development engineers.
We're moving fast, and this is a great team to come to to have a huge impact on AWS and the world's customers we serve!
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Interested in Machine Learning, and empowering the world to do more and better machine Learning? With Amazon SageMaker, Amazon Web Service's (AWS) Machine Learning platform team is building customer-facing services to catalyze data scientists and software engineers in their machine learning endeavors. This product is a blend of HTTP API's, low and high-level SDK's, and an AWS Console UI. .
As part of the ML Platform Frontend team, you will design, implement, test, document, and deliver the user experiences for our new AWS machine learning services. This can involve innovative UI's and further down the stack at the webserver/API layer. You'll assist in gathering and analyzing business and functional requirements, and translate requirements into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture. You will serve as a key technical resource in the full development cycle, from conception to delivery and maintenance. You will produce comprehensive, usable software documentation; recommend changes in development, maintenance and system standards. You will own delivery of entire piece of the system and serve as technical lead on complex projects using best practice engineering standards, and hire/mentor junior development engineers.
We're moving fast, and this is a great team to come to to have a huge impact on AWS and the world's customers we serve!
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The AWS Forecasting team is hiring a Business Intelligence Engineer to improve the scalability and customer experience for our customers (AWS service owners) using our team’s products. Our team is responsible for growing the world's largest Cloud at the most optimized rate. The challenge is finding the optimum tradeoff between AWS service availability and fleet utilization, where a 1% improvement to utilization means millions in additional free cash flow. We own the development of methods and tools used by service owners and finance partners to forecast and plan service usage, infrastructure, and revenue. Our systems help business owners evaluate and make decisions about their service forecasts relative to their availability, utilization, revenue, and cost plans and goals. Our forecast and other demand signal outputs are used by downstream infrastructure supply chain and build organizations to drive server, network, and data center investments.
If you have a passion for improving visibility, increasing understanding, and motivating action for your customers resulting in high impact improvements in the business and operations, this is the perfect role for you. In this role, you will work directly with customers, including senior leaders, to understand their opportunities, provide insightful analyses, and build repeatable reporting processes. Your work with prevent capacity shortfalls for AWS customers, while simultaneously reducing waste to save millions of dollars.
The primary responsibilities of this role include:
- Write high quality SQL to retrieve and analyze data from relational databases (ex. Redshift, MySQL), using your understanding of AWS’s data resources and know how, when, and which sources to use and which not to use.
- Create user friendly repeatable reporting solutions to minimize ad hoc customer requests, which creates team thrash and a poor customer experience.
- Work directly with customers to understand the business problems at hand and propose impactful analyses and solutions. Ensure customers’ problems are solved and sustained.
- Provide requirements for teams responsible for building and maintaining data sources.
- Define and develop business critical metrics and reports across all forecasting products, key performance indicators, and financials that are consumable by a wide range functions and levels.
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Come and be part of the Amazon AWS Artificial Intelligence team! We are a cloud AWS service that helps customers run machine learning algorithms on various Big Data systems in a scalable and cost-effective manner. With Machine Learning, businesses now ask our machines to do more than repetitive, strictly-defined tasks. We are taking it one step further and have begun to ask them to not only learn on their own but to also interpret data and report to the customer before they even knew they needed it. It's a step in history for you to be a part of. You will be building a platform that incorporates best practices and runs advanced algorithms at production scale and reliability. In this role, you will be responsible for architecting, implementing and expanding features, services and core components of a brand new service for AWS.
You will work in a fast-paced environment and do everything from determining priorities and designing features, to re-architecture as necessary, to automated testing, to mentoring others. The best candidates show true end-to-end ownership.
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Come and be part of the Amazon AWS Artificial Intelligence team! We are a cloud AWS service that helps customers run machine learning algorithms on various Big Data systems in a scalable and cost-effective manner. With Machine Learning, businesses now ask our machines to do more than repetitive, strictly-defined tasks. We are taking it one step further and have begun to ask them to not only learn on their own but to also interpret data and report to the customer before they even knew they needed it. It's a step in history for you to be a part of. You will be building a platform that incorporates best practices and runs advanced algorithms at production scale and reliability. In this role, you will be responsible for architecting, implementing and expanding features, services and core components of a brand new service for AWS.
You will work in a fast-paced environment and do everything from determining priorities and designing features, to re-architecture as necessary, to automated testing, to mentoring others. The best candidates show true end-to-end ownership.
