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US, VA, Herndon
Amazon Region Services team is looking for a Data Scientist to lead the research and thought leadership to drive our data and insights strategy for Amazon Region Services. We develop sophisticated algorithms that involve learning from large amounts of data. You will be responsible for researching, experimenting and analyzing predictive and optimization models.You will provide to engineers, direction on technology strategy in data management, insights and Machine learning that will form the nucleus of providing data and insights as a service to our customers. You will work on ambiguous and complex business and research science problems with large opportunities.You are an individual with outstanding analytical abilities and comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams.Key Responsibilities:· Interact with business and software teams to understand their business requirements and operational processes· Frame business problems into scalable solutions· Adapt existing and invent new techniques for solutions· Create and track accuracy and performance metrics· Gather data required for analysis and model building· Prototype models by using high-level modeling languages such as R or in software languages such as Python. A software team will be working with you to transform prototypes into production.· Interview, mentor, and develop scientists and engineers across the organization· Create, enhance, and maintain technical documentationThis position requires that the candidate selected be a U.S. citizen and obtain and maintain an active TS/SCI security clearance with polygraph.
US, WA, Seattle
Amazon's Sponsored Ads is one of the fastest growing business domains and we are looking senior level scientists with experience building complex machine learning models and writing elegant prototype code. We are still in Day 1 and there is an abundance of opportunities that are yet to be explored. We are a team of highly motivated and collaborative applied scientists and software development engineers with an entrepreneurial spirit and bias for action. With the team growing at an unprecedented rate, there is broad mandate to experiment and innovate!Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. The ads sourcing works across the spectrum of ad serving including coverage expansion, increasing utilization of tail detail pages, ad relevance, ad quality, collaborative filtering, and much more. Our technology enables thousands of brands, sellers and authors to drive discovery and sales of their products at Amazon by millions of customers.We are looking for an Applied Scientists, with a background in Machine Learning to optimize serving ads on billions of product pages. The solutions you create/deploy would ensure relevant ads are served to Amazon's customers. You will directly impact the shopping experience while helping our advertisers get the maximum ROI. 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, and image recognition 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.
US, CA, Sunnyvale
Are you a passionate scientist in the area of computer vision and machine learning who is aspired to develop new and innovative technologies to new product categories? Are you interested in applying your deep knowledge to new and challenging areas? Are you looking to scale capabilities computer vision and machine learning capabilities to new workload sizes? Are you up to the task of delivering innovative and scalable technology that manages automated recognition of millions of items?You will be part of a passionate team whose missions is to push the frontier of computer vision and machine learning technology into the smart home application area. This is a great opportunity for you to innovate in this space by developing algorithms at the edge and in the cloud, and integrating them into consumer services to enable a premium customer experience. In this role, you will be an owner of the full algorithm development cycle, from sensor evaluation and data engineering to algorithm design, implementation, optimization and deployment. This position also requires experience with developing efficient software components on resource-constrained computing platforms on the edge. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms.Main Responsibilities· Apply best practices to investigate, acquire, process and analyze data sources for algorithm development.· Research and implement the state-of-the-art methods in computer vision and machine learning to deliver algorithms that meets product specifications.· Design, build algorithm evaluation frameworks, schedule and report algorithm performance on a regular basis.· Optimize and deploy algorithms on target hardware platforms.· Establish, develop and maintain frameworks and procedures for image sensor selection and evaluation and image quality monitoring.· Influence system design by making informed decisions on the selection of data sources, algorithms and sensors.
US, WA, Seattle
The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems.As a Computer Vision Research Scientist, you will help solve a variety of technical challenges and mentor other engineers. Given that this is an early-stage initiative, you will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.
US, NY, New York
The Amazon Demand Forecasting team seeks an Sr. Applied Scientist to join our team. Scientists in Demand Forecasting lead the development of novel algorithmic architectures, toward the ultimate goal of accurately predicting customer demand for millions of products world-wide. This drives down supply chain costs and enables the offer of lower prices and better in-stock selection for our customers.Working collaboratively, you will develop solutions to complex problems, such as designing the next generation of algorithms to drive the Supply Chain. As an Applied Scientist, you will continue to contribute to the research community, by working with other scientists across Amazon and our Supply Chain, as well as collaborating with academic researchers and publishing papers. Within Demand Forecasting, our Science community values teamwork, supports continued learning, and recognizes the need to take risks and try new ideas that may fail. Furthermore, our builder culture means that Scientists and Software Development Engineers work closely together to invent and construct at a massive scale; since implementation decisions are made at a team level, it is likely that your work will end up in an Amazon product. Recent work to come from Demand Forecasting includes papers presented at the NIPS 2017 Time Series Workshop, KDD 2018 Time Series Workshop, and ICML 2018 Deep Generative Models Workshop.Responsibilities:· Drive collaborative research and creative problem solving· Create experiments and prototype implementations of new learning algorithms and prediction techniques· Collaborate with engineering teams to design and implement software solutions for science problems· Contribute to progress of the Amazon and broader research communities by producing publicationsAmazon is an Equal Opportunity Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
US, WA, Bellevue
The Alexa Experience organization owns a number of programs and domains which drive high customer engagement and feature discovery, maintains customer trust, understands customers’ feedback, develops new features that provide utility value for customers with special needs, and develops locally relevant experiences. Our team develop and train natural language understanding models to improve these programs and to create new delighting Alexa experiences for customers.We’re looking for a passionate scientist to help design, develop and release to production NLU models that provide the best-possible experience for our customers. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to develop new features and predict key user behaviors, both offline and in real time.What You Will Do· Be the subject matter expert in NLU model authoring process, guiding multiple product teams toward delivering best customer experiences on Alexa.· Contribute to the design of new features by extending existing annotation schemas to cover new areas· Develop and release to production Alexa NLU models· Measure and analyze accuracy of models; develop solutions to improve performances· Contribute to the research vision of the team, develop and execute on a roadmap that addresses the technical challenges our product teams face· Raise the bar for research quality and impact. Stay up to date on research results both within and complementary to the Alexa technology space and helping your team and its partner to utilize tried patterns and state of the art results to work smarter and faster.· Propose new modeling solutions and run experiments to prove their efficacy· Deliver reports and/or models to influence technical directions.· Design processes and tools to simplify Alexa feature expansion for your team and partners.· Perform data analysis, A/B experimentation and modeling with large data sets to develop insights that increase device usage and customer experience· Collaborate with peers in data analysis and feature design efforts
US, WA, Seattle
Amazon Advertising is one of the fastest growing businesses. This is a unique opportunity within our Sales Operations Analytics and Insights team. This leader will be a key member of the core Analytics team, based in Seattle, WA. The successful candidate will be self-starter, comfortable with ambiguity, with attention to details. The drive and capability to shape sales organization and/or business strategy is a must.The data scientist will work closely with sales leader, finance leaders, business intelligence engineers, and software engineers to develop predictive models forecasting revenue and performance. This leader will also be responsible for determining controlled and uncontrolled drivers impacting revenue; and the associated level of correlation leveraging statistical analysis.This role will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. The role will involve translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see a high potential for influence and growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business.Key Responsibilities: · Design and develop revenue and performance forecasting models · Leverage ML to automate forecasting model · Measure the accuracy of forecasting model and continuously improve · Develop and implement analytics to better predict performance by tying sales inputs into more accurate outputs, and enabling strategic decisions around resource allocation and organizational design. Understand controlled versus non-controlled inputs, and their impact on outputs using statistical analysis. Measure and continuously improve the accuracy of predictive model. · Effectively document and communicate methodologies and results.Basic Qualifications · 7+ years of experience producing models and analytics for business applications· Experience in standard machine-learning and statistical modeling tools and techniques (e.g. gradient-boosted regression, logistic regression)· Experience in programming in R, Python, Scala or similar languages· Expertise in statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.Preferred Qualifications· Masters or PhD in an analytical area such as computer science, economics, finance statistics, or similar· 7+ years of experience producing models and analytics for business applications· Previous experience in a ML or data scientist role with a large technology company· Hands-on experience with multiple improvement initiatives· Expert in the areas of data science, machine learning and statistics,· Sound business judgment with demonstrated ability to balance technical and business needs to make the right decisions about technology, models and methodologies.· Excellent communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions· Demonstrated ability to independently drive issues to resolution while communicating insights to non-technical audiences.
US, CA, Palo Alto
Amazon Sponsored Ads is one of the fastest growing business domains and we are looking for talented scientists to join this team of incredible scientists to contribute to this growth. We are still in Day 1 and there is an abundance of opportunities that are yet to be explored. We are a team of highly motivated and collaborative team of machine learning scientists, with an entrepreneurial spirit and bias for action. We have a broad mandate to experiment and innovate, and we are growing at an unprecedented rate with a seemingly endless range of new opportunities.The Targeting and Recommendations team works across the entire spectrum of sponsored product ad serving including CTR prediction, dynamic pricing, ranking, ad relevance, ad quality, query understanding, recommendation systems, and much more. Our technology enables thousands of brands, vendors, sellers and authors to drive discovery and sales of their products across millions of customers. This role specifically sits within the broader Sponsored Products Marketplace team within Ads with the primary focus on building recommenders for advertisers for targeting, bidding and budgets.We are looking for an Applied Scientist to build the next generation of recommendation services for advertisers. You will be expected to demonstrate strong ownership, and should be curious to learn and leverage textual, image, and query level data to help advertisers optimize their performance. This role specifically will focus on building recommenders for keywords, bids and budgets.This role will challenge you to utilize cutting edge machine learning techniques in the domain of query understanding, natural language processing (NLP), deep learning, and image recognition to deliver significant impact for the business. The ideal candidates will be able to work cross functionally across multiple stakeholders, synthesize the science needs of our advertisers, develop models to solve business needs, and implement their solutions in production. Hence, we would expect them to be independent, have a natural bias to action, strong communication skills, and be agile to make continuous incremental progress on a project without losing focus of the end goal.Primary responsibilities· Use machine learning and analytical techniques to create scalable solutions for business problems· Work closely with software engineering and product teams across the organization to drive real-time model implementations and new feature creations· Work closely with business stakeholders to identify opportunities of current model improvements and new models to significantly benefit the business bottom-line.· Collaborate with scientists within the Ads organization as well as other parts of Amazon business to share and imbibe learnings that benefit our models.· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· Research and implement novel machine learning and statistical approaches.
US, VA, Virtual Location - Virginia
Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help public sector, medical center and non-profit agencies derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology?At Amazon Web Services (AWS), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our AWS customers to address their business needs using AI.AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers.If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office.A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include:· Understand the customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances .· Assist customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.· Use Deep Learning frameworks like PyTorch, Tensorflow and MxNet to help our customers build DL models.· Use SparkML and Amazon Machine Learning (AML) to help our customers build ML models.· Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data.· Work with our Professional Services DevOps consultants to help our customers operationalize models after they are built.· Assist customers with identifying model drift and retraining models.· Research and implement novel ML and DL approaches, including using FPGA.· This position can have periods of up to 10% travel.
US, VA, Virtual Location - Virginia
Amazon Web Services (AWS) Professional Services team is looking for a Data Science Practice Manager in the AI Global Services Practice with a successful history of delivering best-in-class AI/ML solutions, managing world-class talent, and possessing the drive and experience to scale both to effectively meet the needs of our customers.The Data Science Practice Manager will build a working relationship with their sales, solution architects, and professional services counterparts. The Data Science Practice Manager will also have a team of 8-12 direct reports that are data scientists to develop a long-term AI (Artificial Intelligence) /ML (Machine Learning) strategy and execution plan within their geographic regions with other AWS Professional Services colleagues. This individual is a trusted adviser for our enterprise customers and requires the skills to excel at all aspects of business development, people management, relationship development, delivery of AI solutions and program management in their accounts, following a player/coach model.RESPONSIBILITIES• Hiring, developing and retaining top talent.• Engage with commercial enterprise customers to understand their business drivers and application portfolio.• Development of long term AI/ML strategy for our customers• Identification and development of specific AI opportunities and supporting business cases.• Mitigation of delivery risks and issues.• Overseeing delivery of AI projects, ensuring high quality delivery.• Act as single person of contact for Customer executives, developing deep, trustful relations.• Educate customers on AWS AI/ML services and translate those into a clear business value proposition.• Envision and inspire customers, on the potential of ML to help their business.• Coaching Customer and Partner teams to be self-sufficientAmazon Web Services (AWS) Professional Services team is looking for a Data Science Practice Manager with a successful history of delivering best-in-class AI solutions, managing world-class talent, and possessing the drive and experience to scale both to effectively meet the needs of our customers.The PM will build a working relationship with their sales, solutions architecture, and professional services counterparts. The PM will also have a team of 8-12 direct reports that are data scientists to develop a long-term strategy and execution plan within their accounts. This individual is a trusted adviser for our enterprise customers and requires the skills to excel at all aspects of business development, people management, relationship development, delivery oversight and program management in their accounts, following the player/coach model.
FR, Paris
The Workforce Staffing Research team is responsible for our hourly workforce: Who do we hire? How should we hire them? How do we make sure the right candidate gets the right role at the right time, and how do we do this efficiently? As Amazon moves toward free one day shipping for prime customers, and as we continue to scale globally, answering these questions will have material impact on the business, and on the experience our candidates have.Here’s where you come in:What is the role? As a Data Scientist in Workforce Staffing, your work is focused on research programs to deeply understand the people that make up our hourly workforce. You understand that even when hiring hundreds of thousands of hourly associates across multiple types of roles and businesses, the experience of each candidate matters.You use your deep expertise in statistics (regressions, multilevel models, structural equation models, etc.), and data collection in a variety of settings (e.g., field studies, surveys, existing large data sets) to define and answer nebulous problems. You leverage your quantitative background to develop and test theoretical frameworks and design experiments. You design, deployment, and conduct analysis of our global candidate research activities, using experimental, quasi-experimental, and RCT methods. You relentlessly obsess over understanding our candidates and what attracts them to Amazon. You work with colleagues across Research, Data Science, Business Intelligence and related teams to enable Amazon find and hire the right candidates for the right roles at an unprecedented scale.This will be a highly visible role across multiple key deliverables for our global organization. If you are passionate and curious about data, obsess over customers, love questioning the status quo, and want to make the world a better place, let’s chat.
DE, BY, Munich
The Workforce Staffing Research team is responsible for our hourly workforce: Who do we hire? How should we hire them? How do we make sure the right candidate gets the right role at the right time, and how do we do this efficiently? As Amazon moves toward free one day shipping for prime customers, and as we continue to scale globally, answering these questions will have material impact on the business, and on the experience our candidates have.Here’s where you come in:What is the role? As a Data Scientist in Workforce Staffing, your work is focused on research programs to deeply understand the people that make up our hourly workforce. You understand that even when hiring hundreds of thousands of hourly associates across multiple types of roles and businesses, the experience of each candidate matters.You use your deep expertise in statistics (regressions, multilevel models, structural equation models, etc.), and data collection in a variety of settings (e.g., field studies, surveys, existing large data sets) to define and answer nebulous problems. You leverage your quantitative background to develop and test theoretical frameworks and design experiments. You design, deployment, and conduct analysis of our global candidate research activities, using experimental, quasi-experimental, and RCT methods. You relentlessly obsess over understanding our candidates and what attracts them to Amazon. You work with colleagues across Research, Data Science, Business Intelligence and related teams to enable Amazon find and hire the right candidates for the right roles at an unprecedented scale.This will be a highly visible role across multiple key deliverables for our global organization. If you are passionate and curious about data, obsess over customers, love questioning the status quo, and want to make the world a better place, let’s chat.
IT, MI, Milan
The Workforce Staffing Research team is responsible for our hourly workforce: Who do we hire? How should we hire them? How do we make sure the right candidate gets the right role at the right time, and how do we do this efficiently? As Amazon moves toward free one day shipping for prime customers, and as we continue to scale globally, answering these questions will have material impact on the business, and on the experience our candidates have.Here’s where you come in:What is the role? As a Data Scientist in Workforce Staffing, your work is focused on research programs to deeply understand the people that make up our hourly workforce. You understand that even when hiring hundreds of thousands of hourly associates across multiple types of roles and businesses, the experience of each candidate matters.You use your deep expertise in statistics (regressions, multilevel models, structural equation models, etc.), and data collection in a variety of settings (e.g., field studies, surveys, existing large data sets) to define and answer nebulous problems. You leverage your quantitative background to develop and test theoretical frameworks and design experiments. You design, deployment, and conduct analysis of our global candidate research activities, using experimental, quasi-experimental, and RCT methods. You relentlessly obsess over understanding our candidates and what attracts them to Amazon. You work with colleagues across Research, Data Science, Business Intelligence and related teams to enable Amazon find and hire the right candidates for the right roles at an unprecedented scale.This will be a highly visible role across multiple key deliverables for our global organization. If you are passionate and curious about data, obsess over customers, love questioning the status quo, and want to make the world a better place, let’s chat.
US, WA, Seattle
The Amazon Web Services (AWS) Identity team innovates, builds, and operates the identity, authentication, and authorization stack for the AWS cloud. Our mission is to push technical boundaries and enable AWS customers to run their business workloads confidently and securely. We rely on large scale data analysis techniques including machine learning and automated reasoning to help customers set access controls across all their AWS environments. These tools help customers set the right access controls for their AWS environments without needing to become security experts.As a research scientist in AWS Identity you will innovate on behalf of AWS customers to develop and deliver functionalities through innovation and experimentation. You will identify and research areas of interest, including recommendation systems, deep learning, forecasting, and clustering. You will build machine learning models that rely on big data to provide recommendations to help customers set the right access controls. You demonstrate best practices to evaluate, test, and compare models and the systems that use them. You will collaborate with product owners, developers, and customers to identify and define areas where machine learning can enhance the customer experience.
UK, London
The Workforce Staffing Research team is responsible for our hourly workforce: Who do we hire? How should we hire them? How do we make sure the right candidate gets the right role at the right time, and how do we do this efficiently? As Amazon moves toward free one day shipping for prime customers, and as we continue to scale globally, answering these questions will have material impact on the business, and on the experience our candidates have.Here’s where you come in:What is the role? As a Data Scientist in Workforce Staffing, your work is focused on research programs to deeply understand the people that make up our hourly workforce. You understand that even when hiring hundreds of thousands of hourly associates across multiple types of roles and businesses, the experience of each candidate matters.You use your deep expertise in statistics (regressions, multilevel models, structural equation models, etc.), and data collection in a variety of settings (e.g., field studies, surveys, existing large data sets) to define and answer nebulous problems. You leverage your quantitative background to develop and test theoretical frameworks and design experiments. You design, deployment, and conduct analysis of our global candidate research activities, using experimental, quasi-experimental, and RCT methods. You relentlessly obsess over understanding our candidates and what attracts them to Amazon. You work with colleagues across Research, Data Science, Business Intelligence and related teams to enable Amazon find and hire the right candidates for the right roles at an unprecedented scale.This will be a highly visible role across multiple key deliverables for our global organization. If you are passionate and curious about data, obsess over customers, love questioning the status quo, and want to make the world a better place, let’s chat.
DE, BE, Berlin
The Workforce Staffing Research team is responsible for our hourly workforce: Who do we hire? How should we hire them? How do we make sure the right candidate gets the right role at the right time, and how do we do this efficiently? As Amazon moves toward free one day shipping for prime customers, and as we continue to scale globally, answering these questions will have material impact on the business, and on the experience our candidates have.Here’s where you come in:What is the role? As a Data Scientist in Workforce Staffing, your work is focused on research programs to deeply understand the people that make up our hourly workforce. You understand that even when hiring hundreds of thousands of hourly associates across multiple types of roles and businesses, the experience of each candidate matters.You use your deep expertise in statistics (regressions, multilevel models, structural equation models, etc.), and data collection in a variety of settings (e.g., field studies, surveys, existing large data sets) to define and answer nebulous problems. You leverage your quantitative background to develop and test theoretical frameworks and design experiments. You design, deployment, and conduct analysis of our global candidate research activities, using experimental, quasi-experimental, and RCT methods. You relentlessly obsess over understanding our candidates and what attracts them to Amazon. You work with colleagues across Research, Data Science, Business Intelligence and related teams to enable Amazon find and hire the right candidates for the right roles at an unprecedented scale.This will be a highly visible role across multiple key deliverables for our global organization. If you are passionate and curious about data, obsess over customers, love questioning the status quo, and want to make the world a better place, let’s chat.
US, WA, Seattle
Are you interested in helping customers support and benefit from Amazon's Climate and Sustainability pledge? Come join us!You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of cutting-edge products and services used every day by people you know.We are looking for a passionate, talented, and creative Machine Learning Scientist to help invent and apply advanced machine learning to make a lasting impact on society and impact the experience of millions of Amazon customers.Great candidates for this position will have a passion for machine learning and statistics and will have hands-on experience with product development. You will have the deep expertise to drive the ML vision for our products and technical breadth to make the right decisions about technology, models and methodology choices.As a Machine Learning Scientist at Amazon, you will connect with world leaders in your field working on similar problems. On this team you will analyze and model contextual data to create new experiences for customers. Meeting business requirements will involve combining several different machine learning algorithms with domain knowledge into sophisticated ML workflows. You will work with large distributed systems of data and will tackle Machine Learning challenges in Unsupervised Learning, clustering, and forecasting, utilizing modern methods such as Deep Neural Networks and others. MLS’s have contributed to and are aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing the state-of-the-art for improving Amazon’s products and services.KEY RESPONSIBILITIES· Analyze and extract relevant information from large amounts of data to support new experiences for customers· Create novel ML approaches and apply them to achieve project goals· Build ML software and algorithms that cost-effectively scale to millions of customers· Work closely with other teams across Amazon to deliver platform features that require cross-team leadership· Ensure that the quality and timeliness of ML deliverables
US, WA, Seattle
This Senior Research Scientist & Strategist role is on a central strategy team supporting Global Corporate Affairs. The individual selected for this position will create and execute numerous high-impact projects related to global strategy development. The work will challenge you to be resourceful, think big while staying connected to the details, translate data-driven insights into strategic recommendations, and embrace a high degree of change and ambiguity. The scope and scale of what we strive to achieve is immense, but it’s also meaningful and energizing.Role responsibilities:· Independently (and in partnership with internal stakeholders) develop, propose, and execute research projects that provide actionable insights to our many global stakeholders· Manage and expand our partnerships with internal research teams and external research agencies with whom we partner· Connect findings across research projects (primary and secondary) to generate overarching insights· Communicate data-driven insights and recommendations through presentations, papers, and other internal communication channels· Provide consultation and create trainings on research fundamentals/best practices, survey design, and developing appropriate KPIs for teams across the organization
AU, NSW, Sydney
DESCRIPTIONAmazon Web Services is the largest consumer cloud offering in the world, powering cutting-edge science, rapidly growing startups, and industry leaders. Our team here in Sydney is developing novel products focused on helping our customers achieve higher availability standards for the applications and workloads they build on AWS. We are building solutions that aim to learn from past incidents data to improve automatic behaviours and help investigate and resolve incidents faster in real time. We are working on complex problems including automatic incident investigation and root-causing, as well as other ideas for assisting our customers. This is an exciting opportunity if you love solving challenging problems and contributing to high impact customer features involving real-life data and Machine Learning methods, while working within a development team to see the results deployed in production, and being part of the large global community of Amazon scientists.We are looking for an Applied Scientist who is enthusiastic about diving deep into the data to analyse and uncover relevant patterns, and is excited to go beyond the standard toolbox when needed, to research and create novel methods for producing the best possible solutions to the problems our customers are facing. The methodology and algorithm development are highly coupled here with deep data analysis and understanding of the real-life data.Are you interested in solving complex real-life challenges which are not easily translatable to textbook examples, where the data is rarely clean or readily available, and its amount varies from immense to lacking? We need a practitioner who loves designing a new model or an algorithm, and also working with the rest of the development team to implement it efficiently in code and deploy to production.While working on these problems, you will help to grow the Machine Learning and Data Science team and the ML community in Sydney, collaborate with the global Amazon research community, and publish research results. You will engage with other teams across Amazon who are working on related problems, and communicate with product management and stakeholders to provide clear answers for business questions, present the findings and new proposals.In this role you will build something brand new that will positively affect every AWS customer and in turn their customers, while being at the forefront of using and developing novel Machine Learning techniques to deliver new functionality. Join us, and help us revolutionise how people approach availability!Responsibilities Summary· Design and implement predictive models based on past data, using either existing methods or developing new algorithms and tools when needed.· Collect and analyze data, develop hypotheses, design experiments, collaborate with engineering team to implement live tests and evaluate performance.· Answer complex business questions by using appropriate statistical techniques on available data or designing and running experiments to gather data.· Design, develop, and operate critical processes that are central to the delivery of accurate results (e.g. data pipelines).· Code in a high-level language (e.g. Python, Java) and work with software engineers to produce high-quality software in production, based on research models.· Communicate findings to managers and engineers, often through succinct written summaries of findings and code samples, as well as through verbal explanation.· Publish research results.
US, WA, Seattle
Are you passionate about using Big Data to build customer trust and grow new business? At Amazon Advertising, we are developing state-of-the-art large-scale computational advertising and machine learning applications. We are looking for talented data scientists to develop new measurement methods to help advertisers understand how their ads change customer behavior. In this role you will work with other scientists, engineers, and product managers on high impact initiatives, from scrappy prototypes to global launches of large-scale measurement systems.The Measurement and Data Science team develops machine learning algorithms and high performance, petabyte-scale distributed systems utilizing big data and streaming technologies to report on and optimize advertising. Our innovative engineers and machine learning scientists sit at the intersection of two vast data sources - our systems process billions of ad impressions daily from across the internet and Amazon site, and customers’ shopping activities. The opportunities for research are endless.Major responsibilitiesIt’s Day One in Amazon Advertising and you will play a leading role to build out our scientific infrastructure and create our research environment. Collaborating with scientists, software engineers and product managers, you will:· Prototype new measurement techniques with high velocity· Learn about the questions advertisers ask about how their ads work… then answer them.· Contribute to large scale systems and global launchesWe're going to change the way that customers research products online and how companies understand and interact with their customers. Come learn with us.#madsjob #sspajobs