Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning

2017
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Abstract
The performance of Neural Machine Translation (NMT) models relies heavily on the availability of sufficient amounts of parallel data, and an efficient and effective way of leveraging the vastly available amounts of monolingual data has yet to be found. We propose to modify the decoder in a neural sequence-to-sequence model to enable multi-task learning for two strongly related tasks: target-side language modeling and translation. The decoder predicts the next target word through two channels, a target-side language model on the lowest layer, and an attentional recurrent model which is conditioned on the source representation. This architecture allows joint training on both large amounts of monolingual and moderate amounts of bilingual data to improve NMT performance. Initial results in the news domain for three language pairs show moderate but consistent improvements over a baseline trained on bilingual data only.
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DE, BW, Tuebingen
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GB, MLN, Edinburgh
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US, NY, New York
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US, WA, Seattle
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US, CA, Sunnyvale
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CA, ON, Toronto
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US, WA, Seattle
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US, WA, Seattle
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RO, Iasi
As an Research Scientist, you will participate in the design, development, and evaluation of models and machine learning (ML) technology to delight our customers. More specifically, as a member of the team, you will be involved in researching state ofthe art Computer Vision (CV) & ML solutions for Amazon devices and cloud services.About the hiring groupYou will join a team building the technology supporting our computer vision/machine learning research and development, that powers our key security alerting and rich notification services that help our customers protect their home. Our goal is to deliver the fastest, most reliable and flexible infrastructure that speeds up creation of smart features for security devices and that makes our customers feel “Always Home”
US, WA, Seattle
We’ve been hard at work developing a new, fully-electric delivery system – Amazon Scout – designed to get packages to customers using autonomous delivery devices. These devices were created by Amazon, are the size of a small cooler, and roll along sidewalks at a walking pace. We developed Amazon Scout at our research and development lab in Seattle, ensuring the devices can safely and efficiently navigate around pets, pedestrians and anything else in their path.The Amazon Scout team shares a passion for innovation using advanced technologies, a love of solving complex challenges, and a desire to impact customers in a meaningful way. We're looking for Scientists who like dealing with ambiguity, solving hard, large scale problems, and working in a startup like environment. To learn more about Amazon Scout, check out our Amazon Day One Blog post here: http://amazon.com/scoutAre you excited by using physics and electronics to help an autonomous robot sense its environment and operate safely? At Amazon Scout we are building a sidewalk-driving delivery robot. The Scout sensors team is tasked with providing the bot with advanced sensing ability ‘eyes and ears’ to generate the right type, quantity, quality and frequency of data to accomplish its mission.As an Applied Scientist specializing in sensors you will:· Lead early stage technical evaluation of different sensor concepts· Design, prototype and characterize novel sensor and systems.· Provide expertise on sensing and sensors capabilities and fundamentals.· Setup protocols and develop resources for evaluating and testing sensors.· Engage with and coordinate external vendors to customize and develop new sensing systems.· Assist in sensor functional integration with Scout hardware team.· Assist the simulation and application software teams in sensor data collection.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.FlexibilityIt isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthWe care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.
US, WA, Redmond
Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to underserved communities around the world. This position is part of the Satellite Attitude Determination and Control team. You will design and analyze the control system and algorithms, support development of our flight hardware and software, help integrate the satellite in our labs, participate in flight operations, and see a constellation of satellites flow through the production line in the building next door.A day in the lifeThis is an opportunity to play a significant role early in the design of an entirely new satellite system with challenging performance requirements. The large, integrated constellation brings opportunities for advanced capabilities that need investigation and development. The constellation size also puts emphasis on engineering excellence so our tools and methods, from conceptualization through manufacturing and all phases of test, will be state of the art as will the satellite and supporting infrastructure on the ground.About the hiring groupOur team has lots of experience with various satellite systems and many other flight vehicles. We have bench strength in both our mission and core GNC disciplines. We design, prototype, test, iterate and learn together. Because GNC is central to safe flight, we tend to drive Concepts of Operation and many system level analyses.You will find that Kuiper's mission is compelling, so our program is staffed with some of the top engineers in the industry. Our daily collaboration with other teams on the program brings constant opportunity for discovery, learning, and growth.Job responsibilitiesYou will design and analyze algorithms for estimation, flight control, and precise pointing using linear methods and simulation. Along with that will be plenty of work developing and applying models and simulations, with various levels of fidelity, of the satellite and our constellation. The labs in our building provide for component level environmental testing, functional and performance checkout, subsystem integration, and satellite integration up to Day in the Life testing and mission rehearsal. We are excited to get into space, so you can look forward to seeing your designs launch and fly soon!Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, WA, Bellevue
SCOT Network Topology Optimization science team focuses on research areas and tools that determine Amazon outbound transportation network design as we transition to relying on our internal carrier network and accelerate one-day delivery speed. There are various strategic questions the team is attempting to answer, such as: what is the impact of inventory placement on outbound transportation cost and delivery speed? What is the optimal transportation network design given processing capacity constraints? How can we forecast accurately fulfillment pattern for different customer clusters?. If you are interested in diving into a multi-discipline, high impact space this team is for you. So far, we utilized models from various science disciplines such as: Mixed Integer optimization, Random Forest (or other ML techniques), stochastic/probabilistic model, economic analysis, to name a few.In addition to transportation network, we also use forecasting and optimization techniques to evaluate new facilities recommendation for long term estimates, We use machine learning to approximate the network, and simulation of how our choices will perform. The team is a mixture of Software Engineers, Operations Research Scientists, Applied Scientists, Business Intelligence Engineers and Product Managers.We are looking for a Sr. Research Scientist who has a deep knowledge of analyzing large-scale fulfillment data using Machine learning and optimization. Those who are strong in forecasting space should have a breadth of other ML experience in a production environment using techniques. This role will focus on expanding our reach to analyze various fulfillment and transportation for Amazon's supply chain network worldwide.To help describe some of our challenges, we created a short video about Supply Chain Optimization at Amazon - http://bit.ly/amazon-scotAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age
US, NY, New York
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!The Ad Response Prediction team builds innovating click-through rate & conversation rate machine learning models, 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.This team is directly impacting customers in meaningful ways and contributing to billions of dollars in revenue!As a Data Scientist on this team you will:· Solve real-world problems by analyzing large amounts of business data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.· Write code (Python, R, Scala, etc.) to analyze data and build statistical models to solve specific business problems.· Apply statistical or machine learning knowledge to specific business problems and data.· Build decision-making models and propose solution for the business problem you defined· Deliver with independence on challenging large-scale problems with ambiguity.· Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.· Analyze historical data to identify trends and support decision making.· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.· Provide requirements to develop analytic capabilities, platforms, and pipelines.· Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.· Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.· Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE