Amazon.com is looking for a Software Development Engineer in Seattle, WA. According to the post, “Join Amazon’s Fashion Team and help develop software that delivers the best fashion shopping experience to our diverse set of customers. We are open to new ideas and path breaking experiments to build next generation of shopping experience with cutting edge technologies. We want to build machine learning based systems which use big data, semantic web and inferred relationships to understand our customer behavior and simplify the shopping experience. You will be responsible for the greenfield development of the backend and the frontend side of the development and will completely own the destiny of the system you built.” Read more
Posts Tagged ‘Amazon’
A9.com, an Amazon company, is looking for a Relevance Engineer in Palo Alto, CA. The post states, “Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, A9 Product Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day… We’re building out a new team that will drive Relevance projects for AIV (Amazon Instant Video). AIV is used by a massive audience on Amazon’s websites and through a variety of devices. This position will work across the search stack for the video domain to improve search quality and effectiveness. The improvements you make in this position will help millions of customers discover the best content in our catalog of hundreds of thousands of video titles worldwide.” Read more
Next week in the U. K. members of the financial industry will be coming together at The Universal Strategy: Knowledge-Driven Finance Event, hosted by semantic technology vendor Ontotext. The event, says independent consultant in semantics and event organizer Jarred McGinnis, is aimed at giving participants “a snout to tail view of semantics in finance.”
The use cases, he says, are there, and to that end the panel will include presentations by Financial Times CTO John O’Donovan, who will discuss issues including how the publisher’s semantic approach is driving smarter topic pages. (The event actually takes place at The Financial Times site.) Also scheduled to be present is Mike Bennett, director at Hypercube and Semantics Lead at The EDM Council, which is a cross-industry group developing the Financial Industry Business Ontology (FIBO), and John Schlesinger, Chief Enterprise Architect at Temenos, which develops software for retail banking companies, including solutions that will leverage triple stores.
In a preview of his talk, Bennett spoke to The Semantic Web Blog that about the current state of FIBO affairs.
Customer experience management vendor Clarabridge wants to bring the first-person narrative from call center interactions to life for marketing analysts, customer care managers, call center leaders and other customer-focused enterprise execs. With its just released Clarabridge Speech, it now brings via the cloud a solution that integrates Voci Technologies’ speech recognition smarts with its own capabilities for using NLP to analyze and categorize text, sentiment and emotion in surveys, social media, chat sessions, emails and call center agents’ own notes.
Agent notes certainly are helpful when it comes to assessing whether customers are having negative experiences and whether their loyalty is at stake, among other concerns. But, points out Clarabridge CEO Sid Banerjee, “an agent almost never types word for word what the customer says,” nor will they necessarily characterize callers’ tones as angry, confused, and so on. With the ability now to take the recorded conversation and turn it into a transcript, the specific emotion and sentiment words are there along with the entire content of the call to be run through Clarabridge’s text and sentiment algorithms.
“You get a better sense of the true voice of the customer and the experience of that interaction – not just the agent perspective but the customer perspective,” Banerjee says.
Amazon is looking for a Senior Business Intelligence Engineer in Seattle, WA. According to the post, “Excited by Big Data, Machine Learning, and Predictive Analytics? Interested in creating new state-of-the-art solutions using Big Data Analytics and Data Mining techniques to solve pressing business needs? Amazon is looking for an outstanding BIE for Global Workforce Insights. The candidate be working on leading-edge research and analysis to answer some of the most interesting questions about what is on the minds and in the hearts of Amazon’s global workforce. You will work closely with the business and technical teams to perform compelling analysis that delivers actionable results. You will build predictive models that have a direct impact on day-to-day decision-making.” Read more
Amazon Web Services is looking for a Software Development Engineer. The job description states, “Every day customers are moving complex workloads and applications to harness the power, availability, and scalability of Amazon Web Services (AWS). Being very customer focused, AWS wants to provide as friction-less a migration path to AWS as possible, to that end we are looking for software engineers to build a world class experience moving complex workloads and applications to AWS seamlessly with as much automation as possible. This is a tall order to discover, analyze, and automate the movement of complex, multi-layer, dependency rich applications to AWS.
Amazon is looking for a Research Scientist in Seattle, WA. According to the post, “Be at the center of Amazon innovation with Amazon Local! This daily deals marketplace offers customers discounts of up to 75% off desirable goods and services in their communities — over 100 regions throughout the United States. This rapidly-growing business within Amazon offers a creative, fast-paced, entrepreneurial work environment. We are looking for a practitioner in the Analytics field to a join a team of other research scientists who use data science/machine learning to build prediction and recommender systems that power the applications and business decisions for Amazon Local. The qualified candidate will call upon various supervised and unsupervised methods in order to: (1) analyze large datasets to identify attributes that directly influence deal quality, (2) understand customer preferences to generate predictions across various segments, and (3) build algorithms to automate predictive learning and drive real-time optimal recommendations.” Read more
Megan Geuss of Ars Technica reports, “At a Wednesday press conference in Seattle, Amazon announced a service that would go along with its newly debuted Fire Phone. Called Firefly, this new technology is packaged in an app that can identify up to 100 million objects. For the most part, this feature will integrate with the Amazon marketplace, allowing you to take photos of products and buy them from Amazon, but the technology used to make it run will also be available to developers in an SDK available now… Using Firefly, a button on the side of the Fire Phone will instruct the camera to recognize a phone number, a book, a DVD, a URL, a QR code, and more. Additionally, Firefly will be able to listen for music (like Shazam) and identify a song that’s playing in the ambient noise around you.” Read more
Amazon today unveiled its Fire TV streaming video device. During the announcement event in Manhattan, company vice president Peter Larsen called the $99 set top box “tiny, incredibly powerful and unbelievably simple.” For users, that power and simplicity are designed to be evident in features such as the device’s ability to project and preload the content users will want to see and to navigate via voice search.
A statement by Amazon founder and CEO Jeff Bezos reads that, “Our exclusive new ASAP (Advanced Streaming and Prediction) feature predicts the shows you’ll want to watch and gets them ready to stream instantly.” Movies or tv shows are buffered for playback before users hit the play button, the company says; those choices are made by analyzing users’ watch lists and recommendations. As users’ viewing habits change, the caching prediction algorithm will adjust accordingly, and personalization capabilities should get better over time as buyers use the Fire TV device.
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