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Ernie Cohen


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US, CA, Sunnyvale
The Amazon Alexa Speech Org is looking for entrepreneurial, innovative individuals who thrives on solving tough problems. We need people who are passionate about innovating on behalf of customers, who demonstrate a high sense of ownership, and who want to have fun while they make history. An ideal candidate for Data Scientist at Alexa should have strong data mining and modeling skills and is comfortable working from concept to execution to completion. The candidate will be an individual contributor who is comfortable with ambiguity and able to successfully drive projects to completion. In addition to the modeling and technical skills, the candidate should possess strong written and verbal communication skills, strong focus on internal customers and high intellectual curiosity with the ability to learn new concepts/frameworks, algorithms, and technology rapidly as changes arise.Data Scientists at Alexa will design, evangelize, and implement solutions to address complex, business questions using advanced statistical techniques, experimentation, and big data. You will be interacting with science and research teams to define metrics that drive key business decisions, and working with program managers, quality assurance engineers and software developers, to develop data pipelines, build tools to drive continuous experimentation to generate data set, conduct statistical analyses, and provide actionable insights for business decisions. Key responsibilities:· Adopt best practices and implement strategies for data audit, data integrity, and validation· Utilize code (Python, R, Scala, etc.) for analyzing data and building statistical models to solve specific business problems· Execute end to end insights projects include data collecting, data cleaning, exploratory analysis, model selection, model evaluation, and interpreting results· Apply or design highly innovative models for predictive learning, content ranking, and anomaly detection· Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes· Analyze key metrics to uncover trends and root causes of issues· Communicate verbally and in writing to business customers and leadership team with various levels of technical knowledge, and share insights and recommendations
US, WA, Seattle
Amazon is looking for a passionate, talented, and inventive Machine Learning Scientist with a strong machine learning background to help build industry-leading Alexa Speech and Language technology. Our mission is to push the envelope in Deep Learning, Automatic Speech Recognition (ASR) and Natural Language Processing (NLP), in order to provide the best-possible experience for our customers.Our Machine Learning Scientists, work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language. Your work will directly impact our customers in speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. Candidates can work in Seattle OR Sunnyvale.
US, NY, New York
About Amazon Advertising:Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. 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.About our team:Our team's mandate is to accelerate advertising in the Books category as it requires a differentiated customer and advertiser experience. We own end-to-end the advertising experience including placements, ad relevance, creative, ad serving, advertiser experience, and marketing. We are looking for entrepreneurial, innovative individuals who thrive on solving tough problems. We are investing in a deep science and technical team in the heart of NYC to pursue this exciting opportunity.About this role:We are seeking a talented, energetic, entrepreneurial, and self-driven Applied Scientist with a background in Machine Learning to join our team. In this role, you will optimize serving ads on billions of product pages. The solutions you create would drive step increases in coverage of search and brand ads across the retail website and ensure relevant ads are served to Amazon's customers. You will directly impact our customers’ shopping experience while helping our sellers get the maximum ROI from advertising on Amazon. You will be expected to demonstrate strong ownership and should be curious to learn and leverage the rich textual, image, and other contextual signals.This role will challenge you to utilize cutting-edge machine learning techniques in the domain of predictive modeling, natural language processing (NLP), deep learning, reinforcement learning, query understanding, and vector search (kNN) to deliver significant impact for the business. Ideal candidates will be able to work cross functionally across multiple stakeholders, synthesize the science needs of our business partners, develop models to solve business needs, and implement solutions in production. In addition to being a strongly motivated IC, you will also be responsible for mentoring junior scientists and guiding them to deliver high impacting products and services for Amazon customers and sellers.In this role, you will:· Solve new and challenging problems using statistical, Machine Learning, or optimization approaches to create measurable customer facing impact.· Translate prototype models to production quality, scaling to millions of customers and across different languages.· Design experiments leveraging your models to measure effectiveness.· Work closely with product, business and engineering teams to execute on your project plans.· Communicate verbally and in writing to senior leaders with various levels of technical knowledge, educating them about your approach, as well as sharing insights and recommendations.· Drive best practices on the team; mentor and guide junior members to achieve their career growth potential.
US, WA, Seattle
Amazon is looking for motivated and innovative individuals with strong analytical skills and practical experience to join our Middle Mile Planning Research and Optimization Science (mmPROS) team. We are hiring specialists at all levels for our scientific team with expertise in transportation and systems engineering, network and combinatorial optimization, stochastic optimization, algorithm design, pricing and yield management, machine learning and demand forecasting.Middle Mile Air and Ground transportation represents one of the fastest growing logistics areas within Amazon. Amazon Fulfillment Services transports millions of packages via air and ground and continues to grow year over year. Our team (mmPROS) is charged with research and developing models, algorithms, data structures, and data representations for Amazon Delivery Technology (surface and air transportation) businesses globally. Develop optimization-based decision support for planning, routing, operations, pricing, topology, and resource planning.These tools rely heavily on mathematical optimization, stochastic simulation, meta-heuristic and machine learning techniques. In addition, Amazon often finds existing techniques do not effectively match our unique business needs which necessitates the innovation and development of new approaches and algorithms to find an adequate solution.As a Data Scientist focusing on research for Seller Fullfilment Services, you will play a key role in Amazon’s transportation and logistics strategic planning and operations. You will build systems and tools that enable us to provide our customers with the largest selection of merchants at the lowest price, and the most reliable delivery service regardless of the seller. You will research, design and improve on the models that will impact Amazon’s customer directly. You will be working in a highly collaborative environment partnering with various science, product management, engineering, operations, finance, business intelligence and analytics teams to develop ML models and analytical tools. You will need to understand the business requirements and translate them into complex analytical outputs. You will design tests to explain performance of the models from impact on customer and cost perspective. You will create ML models to capture features impacting performance. You should be comfortable building prototypes, testing and improving them given the feedback from the real time data. You should be able to present your model and findings to a various range of stakeholders.
US, NY, New York
Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. 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.Our team's mandate is to accelerate advertising in the Books category as it requires a differentiated customer and advertiser experience. We own end-to-end the advertising experience including placements, ad relevance, creative, ad serving, advertiser experience, and marketing. We are looking for entrepreneurial, innovative individuals who thrive on solving tough problems. We are investing in a deep science and technical team to pursue a transformation opportunity.About this role:We are seeking a talented, energetic, entrepreneurial, and self-driven Data Scientist to join our team. Our team works on complex science, engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. Leveraging Amazon's massive data repository, our data scientists develop experiments, insights and optimizations that enable the monetization of Amazon online and mobile search properties while enhancing the experience of Amazon shoppers.In this role, you will:· Solve new and challenging problems using statistical, Machine Learning, or optimization approaches to create measurable customer facing impact.· Translate prototype models to production quality, scaling to millions of customers and across different languages.· Design experiments leveraging your models to measure effectiveness.· Work closely with product, business and engineering teams to execute on your project plans.· Communicate verbally and in writing to senior leaders with various levels of technical knowledge, educating them about your approach, as well as sharing insights and recommendations.· Drive best practices on the team; mentor and guide junior members to achieve their career growth potential.
US, WA, Seattle
In the Amazon Selection Monitoring team, we want Amazon to have a complete awareness of all products on earth. We aggregate and identify all products along with complete and accurate facts. Our goal is to enrich and increase the coverage of Amazon product selection guided by consumers’ interests. We are establishing the most comprehensive, accurate and fresh universal selection of products.We have multiple position for applied scientists who are excited to work in big data challenges including; web scale data integration, entity and product matching, improving data quality, natural language processing, discovery of new relationships along with its sematic, knowledge inferencing and enhancement to support strategic and tactical decision-making.We are looking for applied scientists with experience in building practical solutions and can work closely with software engineers to ship and automate solutions in production. Our applied scientist also collaborate and partner with other teams across Amazon to understand and reflect on how to create benefit for our customer.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
US, WA, Seattle
In the Amazon Selection Monitoring team, we want Amazon to have a complete awareness of all products on earth. We aggregate and identify all products along with complete and accurate facts. Our goal is to enrich and increase the coverage of Amazon product selection guided by consumers’ interests. We are establishing the most comprehensive, accurate and fresh universal selection of products.We have multiple position for applied scientists who are excited to work in big data challenges including; web scale data integration, entity and product matching, improving data quality, natural language processing, discovery of new relationships along with its sematic, knowledge inferencing and enhancement to support strategic and tactical decision-making.We are looking for applied scientists with experience in building practical solutions and can work closely with software engineers to ship and automate solutions in production. Our applied scientist also collaborate and partner with other teams across Amazon to understand and reflect on how to create benefit for our customer.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
US, WA, Seattle
In the Amazon Selection Monitoring team, we want Amazon to have a complete awareness of all products on earth. We aggregate and identify all products along with complete and accurate facts. Our goal is to enrich and increase the coverage of Amazon product selection guided by consumers’ interests. We are establishing the most comprehensive, accurate and fresh universal selection of products.We have multiple position for applied scientists who are excited to work in big data challenges including; web scale data integration, entity and product matching, improving data quality, natural language processing, discovery of new relationships along with its sematic, knowledge inferencing and enhancement to support strategic and tactical decision-making.We are looking for applied scientists with experience in building practical solutions and can work closely with software engineers to ship and automate solutions in production. Our applied scientist also collaborate and partner with other teams across Amazon to understand and reflect on how to create benefit for our customer.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
US, WA, Seattle
In the Amazon Selection Monitoring team, we want Amazon to have a complete awareness of all products on earth. We aggregate and identify all products along with complete and accurate facts. Our goal is to enrich and increase the coverage of Amazon product selection guided by consumers’ interests. We are establishing the most comprehensive, accurate and fresh universal selection of products.We have multiple position for applied scientists who are excited to work in big data challenges including; web scale data integration, entity and product matching, improving data quality, natural language processing, discovery of new relationships along with its sematic, knowledge inferencing and enhancement to support strategic and tactical decision-making.We are looking for applied scientists with experience in building practical solutions and can work closely with software engineers to ship and automate solutions in production. Our applied scientist also collaborate and partner with other teams across Amazon to understand and reflect on how to create benefit for our customer.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
US, WA, Seattle
The Selection team decides what is being sold by Amazon.com. As one component of the famous Amazon Flywheel, Selection is strategically important to our topline growth. We are responsible for thought leadership and innovation to improve the existing and develop new solutions for optimizing Amazon’s selection, better serving our customers. We build the models to make these selection decisions, driven by signals such as historical search and sales data, understanding of item economics, and product substitutability and complementarity.You will partner with data scientists and engineers to propose, prototype, analyze, implement and deliver to production a variety of data science initiatives. You will build models to make statistical inferences about customer purchase behavior. You will propose, prepare, execute and communicate the results of experiments that measure causal effects of selection changes. You will create and beautifully present metrics that deepen our understanding of how customers interact with our selection. In collaboration with others, you will run, deeply understand and improve data science pipelines that distill raw time series data into measures of customer preference. You will translate our collected knowledge about customer satisfaction and business outcomes into optimization models that decide what Amazon sells.In Amazon, everything operates at world scale. You will gain hands-on experience with big data technologies that handle the volume, development processes that supply the robustness, and recent modeling techniques that cut through the complexity. You will be inspired by and participate in the rich scientific community centered around Amazon’s unparalleled universe of econometric questions.
US, WA, Seattle
Prime Video is shaping the future of digital video entertainment. Our mission is to build the widest selection of digital video content and make it easy for customers to stream wherever and whenever they want. The Video Personalization team’s mission is to give customers individual Video recommendations, to surface the titles that they will most enjoy watching.As a Data Scientist in the Video Personalization team, you will play a vital role in understanding how to optimize the customer experience, and how to measure and recognize long term customer value. Your insights will drive what the Personalization product engineering team invests in, and help set and measure annual goals.In this role, you will own measurement strategy, weblab A/B training and office hours, performance tracking, whilst developing new insightful metrics and scaling the existing customer ML models that help define success within online A/B tests. You will work closely with the director, senior managers, product managers, engineers and ML specialists in the Personalization team, as well as people across Video and Amazon in finance, merchandising and economist teams.The successful candidate for this position will understand customers and business problems, and being a skilled modeler will be able to go complex or simple as appropriate. The role will include:- Using R, Python, Sagemaker/Eider, Redshift to analysis and model huge quantities of data- Work with product leaders to understand and reshape their customer problems and deliver innovative solutions- Own a problem space end to end and deliver to agreed timelines- Deep dive experiments to better shape the next set of treatments- Create new metrics that will help guide and evaluation specific customer experience.- Understand how best to cohort customers to track and optimize customer journeys.
US, WA, Bellevue
The Global Delivery Services (GDS) organization strives to deliver packages to Amazon’s customers with fast and reliable delivery speeds at the lowest cost. Providing a high quality delivery service requires a carefully optimized outbound transportation network design that makes the right tradeoffs between cost, speed and DEA in order to maximize the Long-term Free Cash Flow (LTFCF).The NA-Customer Delivery Excellence (CDE) team within the GDS org uses machine learning, econometrics, and data science to identify opportunities for Amazon’s NA Transportation network with an objective to enhance Amazon’s ability to deliver packages to customers in faster, cheaper and reliable manner. We generate insights to guide long term strategy as well as provide short and medium term plans for our execution teams. We use detailed customer ordering data (eg: location, frequency) and detailed information about the fulfillment process (inventory placement, capacities, SLAs, on-time performance) to predict and understand the delivery speed and quality we are offering to our customers.We are looking for a motivated Data Scientist to build, optimize and productize cutting edge machine learning models. A successful candidate will have strong quantitative, data mining, statistical modeling, machine learning skills and is comfortable facilitating ideation and working from concept through to execution. The position will partner with Engineering, Supply Chain teams, Finance and Technology teams to enhance short term and long term predictions that use a range of data science methodologies to automate data analysis or to solve complex business problems for the NA Transportation network.Responsibilities include building automated tools and support structures needed to analyze data, design metrics for complex systems, dive deep to determine root cause of forecast errors & changes, create statistical definition of the outliers and methodologies to systematically identify and mitigate model variance drivers.A qualified candidate must have demonstrated ability to develop and manage medium to large-scale models and methodologies that are statistically grounded but also functional and practical. Must possess strong written and verbal communication skills, proven ability to engage and collaborate with customers to drive improvements. Possess high intellectual curiosity with ability to quickly learn new concepts/frameworks, algorithms and technology. Key responsibilities of CDE data scientists include the following:· Research machine learning algorithms and implement by tailoring to particular business needs and test on large datasets.· Manipulating/mining data from databases (Redshift, SQL Server, Oracle DW) and create automated metrics using complex databases· Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality· Helping build production grade systems to support decision making with an objective of optimizing the network design to improve customer experience and grow the Amazon business.· Improving model usability by analyzing customer behavior and by gathering requirements from business owners and other tech teams. Incorporating new data sources and implementing creative methodologies to improve model performance.· Creating and tracking accuracy and performance metrics. Root cause and research process breakdowns· Foster culture of continuous engineering improvement through mentoring, feedback, and metrics
US, WA, Seattle
Are you excited to be a member of a new science and analytics team?Are you passionate to generate insights using scientific solutions?Are you the one who is full of ideas?The Customer Behavior Analytics (CBA) Org builds products from the ground up to serve internal teams. Products we developed include Downstream Impact (DSI) framework, Customer Targeting applications, and A/B testing platforms. We use cutting edge technologies that fuse Big Data with concepts from Machine Learning, Economics, and Data Science. These innovations help make strategic investment decisions and define the customer engagement metrics by which Amazon runs its business globally.The High Value Message (HVM) Analytics team within CBA is looking for an Applied Scientist to make an impact on how Amazon influences our shopper's perception. You will work with distributed machine learning and statistical algorithms across multiple platforms to harness enormous volumes of online data at scale to match customers and products/offers based on probabilistic reasoning. Our primary partners are Cross Channel Marketing and Digital Corporate Advertising team. A successful Applied Scientist has an entrepreneurial spirit and want to make a big impact on Amazon and our shoppers. You are excited about cutting-edge research on Deep Learning, Natural Language Processing (NLP), causal inference, and experimental design. You enjoy building massive scale and high-performance systems but also have a bias for delivering simple solutions to complex problems. We are looking for a thought leader and you demonstrate this by deploying solutions into production, not just by having ideas. We encourage you to challenge yourself and others to come up with better solutions. You will develop strong working relationships and thrive in a collaborative team environment. You need to be fluid in:AWS services (e.g. EMR, s3).Feature extraction, feature engineering and feature selection.Machine learning, statistical algorithms and recommenders.Model evaluation, validation and deployment.Casual Inference.Experimental design and testing.
US, CA, Sunnyvale
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet.As a Manager, Applied Science, you will wear many different hats and work on multiple components of the entire system, in a highly collaborative environment that’s more startup than big company. You will tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems.You will also help in defining the creative vision, product requirements, and user experience for this robotics program. Working with a cross-disciplinary team of analysts, designers, hardware engineers, and researchers, you will define and drive the product from concept all the way through to production.You should be a self-starter with a bias towards independent problem solving. Clear communication and prioritization will be important as you plan, design, and deliver the best experience for millions of customers. Your passion for the potential of using technology to improve people’s lives, and your experience leading complex technology projects will help you make strong business judgments.If you’re entrepreneurial and want to build and own transformative technology-driven products, join us in making history.As a part of this role, you will:· Lead the design and implementation of a cutting-edge technology in the Robotics space, focusing on SLAM.· Build and manage a team of Scientists.· Foster career growth and a strong team culture.· Recruit, hire, mentor, and coach technical staff.· Interface with our internal customers to understand requirements, set priorities and communicate direction and progress.· Own all operational metrics and support for your team.· Manage the agile development process and methodology to deliver incremental value to customers.· Help develop long-term roadmaps and business technology strategies.
US, WA, Seattle
Ever wonder how you can keep the world’s largest selection also the world’s safest and legally compliant selection? Then come join a team with the charter to monitor and classify the billions of items in the Amazon catalog to ensure compliance with various legal regulations.Our mission is to enable business users to self-serve build, deploy, maintain and improve prod cut classifiers at Amazon catalog scale. To enable this mission, one needs an ecosystem that proactively interacts and assists its users in delivering a robust ML solution. A self-serve product classification system that proactively engages with its user in a near real-time fashion by providing intuitive “insights and biases” about a model’s learning and seeks user feedback enabling continuous re-learning and correction.In this role, you will have an opportunity to lead state of the art machine learning algorithms on large datasets. You will need to lead & build Amazon scale applications running on Amazon Cloud that both leverage and create new technologies to process large volumes of data that derive patterns and conclusions from the data.We are seeking an Applied Science Manager who has a solid background in applied Machine Learning and AI, deep passion for building data-driven products; ability to communicate data insights and scientific vision, and has a proven track record of leading both applied scientists and software engineers to execute complex projects and deliver business impacts.In this role, you will:· Lead a group applied scientists (predominantly) and software engineers to deliver machine-learning and AI solutions to production.· Advance team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.· Develop science and engineering roadmap, run Sprint/quarter and annual planning, and foster cross-team collaboration to execute complex projects.· Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.· Hire and develop top talents, provide technical and career development guidance to both scientists and engineers in the organization.
US, WA, Seattle
How many FireTV devices should Amazon build?If you're interested in using science to answer critical business questions like this, Amazon Devices Demand Planning is the place to be. We develop scalable and robust state-of-the-art forecasting solutions for the entire portfolio of Amazon devices. As a scientist on the team, you will have an opportunity to both develop advanced scientific solutions and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data, building prototypes and exploring conceptually new solutions. You will collaborate closely with peers in engineering as well as business stakeholders. You will be at the heart of a growing and exciting focus area for Amazon Devices.Key responsibilities:· Research and develop new methodologies for demand forecasting.· Improve upon existing methodologies by adding new data sources and implementing model enhancements.· Drive scalable solutions.· Create and track accuracy and performance metrics (both technical and business metrics).· Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders.· Drive best practices on the team; mentor and guide junior members to achieve their career growth potential.
US, WA, Seattle
Are you passionate about conducting measurement research and experiments to assess and evaluate talent? Would you like to see your research in products that will drive key talent management behaviors globally to ensure we are raising the bar on our talent? If so, you should consider joining the Global Talent Management (GTM) Science Team!Amazon GTM Science team is an innovative organization that exists to propel Amazon HR toward being the most scientific HR organization on earth. The GTM Science mission is to use Science to assist and measurably improve every talent decision made at Amazon. GTM Science does this by discovering signals in workforce data, infusing intelligence into Amazon’s talent products, and guiding the broader GTM team to pursue high-impact opportunities with tangible returns. This multi-disciplinary approach spans capabilities, including: data engineering, reporting and analytics, research and behavioral sciences, and applied sciences such as economics and machine learning.We are seeking Assessment and Measurement Scientists with expertise developing assessment and validating measures (assessments, performance evaluations, and surveys) to evaluate talent at Amazon. This person will possess knowledge of different assessment approaches to evaluate performance, a strong psychometrics background, scientific survey methodology, computing various content validity analyses, and experience developing legally defensible talent evaluation programs. In this role you will:· Lead the global research strategy developing performance evaluations both quantitative and qualitative· Execute a scalable global content development and research strategy Amazon-wide· Conduct psychometrics analyses to evaluate integrity and practical application of content· Identify research streams to evaluate how to mitigate or remove sources of measurement error· Partner closely and drive effective collaborations across multi-disciplinary research and product teams· Manage full life cycle of large scale research programs (Develop strategy, gather requirements, execute, and evaluate)
US, WA, Seattle
Do you want to join a brand new team building an AI system that would disrupt the industry? Do you enjoy dealing with ambiguity and working on hard problems in a fast-paced environment?Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Lex, Transcribe, Lambda, S3, and Kinesis to provide a truly frustration free and natural customer experience. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them.As an Applied Scientist on our team, you will analyze data from huge data sets, create ML forecasting and classification models from conception to deployment, and work closely with other senior technical leaders within the team and across AWS. You will demonstrate your deep Applied Science knowledge and experience at prototyping and building accurate and effective ML models using technology such as AWS Sagemaker, PyTorch, and SparkML. Our team is at an early stage, so you will have significant impact on our ML deliverables with no operational load from existing models/systems.We have a rapidly growing customer base and an exciting charter in front of us that includes solving highly complex engineering and algorithmic problems. We are looking for passionate, talented, and experienced people to join us to innovate on this new service that addresses customer needs to build modern contact centers in the cloud. The position represents a rare opportunity to be a part of a fast-growing business soon after launch, and help shape the technology and product as we grow. You will be playing a crucial role in developing the next generation contact center, and get the opportunity to design and deliver scalable, resilient systems while maintaining a constant customer focus.Learn more about Amazon Connect here:https://aws.amazon.com/connect/
US, WA, Bellevue
Amazon's Customer Delivery Excellence team is looking for a motivated Data Scientist with proven ability to develop, enhance, automate, and manage optimization and cutting edge prediction and learning/Artificial Intelligence models using strong quantitative skills. The successful candidate will have strong data mining, statistical modeling, machine learning skills and is comfortable facilitating ideation and working from concept through to execution.The position will partner with Engineering, Supply Chain teams, Finance and Technology teams to enhance short term and long term volume prediction and optimization models that use a range of data science methodologies to automate data analysis or to solve complex business problems for the NA Transportation network. Responsibilities include building automated tools and support structures needed to analyze data, design metrics for complex systems, dive deep to determine root cause of forecast errors & changes, create statistical definition of the outliers and methodologies to systematically identify and mitigate model variance drivers.A qualified candidate must have demonstrated ability to develop and manage medium to large-scale models and methodologies that are statistically grounded but also functional and practical. Must possess strong written and verbal communication skills, proven ability to engage and collaborate with customers to drive improvements. Possess high intellectual curiosity with ability to quickly learn new concepts/frameworks, algorithms and technology.Additional Responsibilities include:· Research machine learning algorithms and implement by tailoring to particular business needs and test on large datasets.· Manipulating/mining data from databases (Redshift, SQL Server, Oracle DW)· Create automated metrics using complex databases· Providing analytical network support to improve quality and standard work results· Root cause research to identify process breakdowns within departments and providing data through use of various skill sets to find solutions to breakdown· Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality· Foster culture of continuous engineering improvement through mentoring, feedback, and metricsAmazon is an Equal Opportunity-Affirmative Action Employer- Female/Minority/Disability/Vet
UK, Cambridge
We are looking for someone who is excited to apply cutting-edge techniques from deep learning or natural language processing (NLP) to the text-to-speech (TTS) technology behind Alexa and our AWS cloud speech service.As a Machine Learning Scientist you will be responsible for leading the development and launch of core product features. You will have significant influence on our overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product.We believe that, like a human speaker, a text-to-speech system can produce more natural speech if it has an improved understanding of the meaning and context of the text. If you agree...You will have the opportunity to solve hard problems with voice – we’ve spent years of invention on this. When we started working on this, the technology didn’t even exist – we had to invent it. Join us if you want to apply your deep learning skills in a dynamic field that is revolutionising the way people interact with devices and services.We believe that voice will fundamentally improve the way people interact with technology. It can make the complex simple—it’s the most natural and convenient user interface. Voice is going to be a big part of our future and we are inventing it here.RESPONSIBILITIES· Use your expertise in deep learning to research and implement novel approaches to make improvements to our text-to-speech technology.· Lead and Mentor junior engineers and scientists.· Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for spoken language applications.