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Christopher Chamberland


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US, WA, Seattle
Do you want to join Alexa AI -- the science team behind Amazon’s intelligence voice assistance system? Do you want to utilize cutting-edge deep-learning and machine learning algorithms to delight millions of Alexa users around the world?If your answers to these questions are “yes”, then come join us at the Alexa Artificial Intelligence team, which is in charge of improving Alexa user satisfaction through real-time metrics monitoring and continuous closed-loop learning. The team owns the modules that reduce user perceived defects and frictions through utterance reformulation, contextual and personalized hypothesis ranking.With the Alexa Artificial Intelligence team, you will be working alongside a team of experienced machine/deep learning scientists and engineers to create data driven machine learning models and solutions on tasks such as sequence-to-sequence query reformulation, graph feature embedding, personalized ranking, etc..You will be expected to:· Analyze, understand, and model user-behavior and the user-experience based on large scale data, to detect key factors causing satisfaction and dissatisfaction (SAT/DSAT).· Build and measure novel online & offline metrics for personal digital assistants and user scenarios, on diverse devices and endpoints· Create and innovate deep learning and/or machine learning based algorithms for utterance reformulation and contextual hypothesis ranking to reduce user dissatisfaction in various scenarios;· Perform model/data analysis and monitor user-experienced based metrics through online A/B testing;· Research and implement novel machine learning and deep learning algorithms and models.
US, CA, San Francisco
Can Alexa help anyone experience the music they enjoy? Even if they don't know what they'd like to listen to in this moment? Or, if they know they want “Happy rock from the 90s”, can she help them find it?Your machine learning skills can help make that a reality on the Amazon Music team. We are seeking an Applied Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval.You'll work in a collaborative environment where you can pursue ambitious, long-term research, with many peta-bytes of data, work on problems that haven’t been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web.The successful candidate will have a PhD in Computer Science with a strong focus on machine learning, or a related field, and 2+ years of practical experience applying ML to solve complex problems in recommender systems, information retrieval, signal processing, NLP or dialogue systems. Great if you have a passion for music, but this is not a requirement.Responsibilities:- Advance long-term, exploratory research projects in machine learning and related fields to create highly innovative customer experiences;- Analyze large amounts of Amazon’s customer data to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities;- Validate new or improved models via statistically relevant experiments across millions of customers;- Work closely with software engineering teams to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scale.Amazon MusicImagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more.Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.Come innovate with the Amazon Music team!
US, WA, Seattle
Organizational Research and Measurement is seeking a multi-disciplinary data scientist to enable and advance our Diversity, Equity and Inclusion work. As Amazon World Wide Consumer increases the speed and complexity of our operations, we need to find new ways to help employees grow and succeed. As a data scientist on the team, you will have the opportunity to work on one of the world’s largest employee data sets and influence the long-term evolution of how we understand and support employees as professionals and individuals.The ideal candidate for this role will be a collaborative team player with strong technical abilities, communication skills, project management experience, and a proactive, start-up-style mentality. You possess solid analytical skills in data science and excels in deriving actionable business insights that drive positive changes. You will have hands-on experience leading product development initiatives, and are able to balance technical leadership with strong business judgment to make the right decisions about technology, models, and methodologies choices. You strive for simplicity, learn quickly, and demonstrate significant creativity and high judgment backed by data.Responsibilities· Enable team data efficacy and efficiency· Lead the data aspects of scientific research projects from start to finish, including experiment / study execution, data gathering and manipulation, synthesis and modeling, reporting, and solution implementation· Design, Plan, build, and maintain experimental and production systems that take inputs from multiple models and data sources to support scalable, iterative, and continuous experimentation· Work with Amazon Operations and HR to identify opportunities for enhancing and enriching data sources to the team· Collaborate with customers, stakeholders, engineers, scientists, and program and product owners· Identify, assess, track, and mitigate data related issues and risks at multiple levels· Seek out and capitalize on opportunities to innovate new data technologies as needs· Identify, apply, and advance best practices across the disciplines of statistics, applied psychology, software development, and data science· Own the advancement of the team’s data analytical capabilities· Identify and pursue collaboration opportunities with other data teams working on parallel or complimentary projects· Manage relationships with other data teams necessary for our team to grow and function· Provide technical leadership in data science and mentoring to team members
US, WA, Seattle
The Organizational Research and Measurement team conducts research supporting all Amazon corporate employees. Our goal is to build talent systems to enable employees to thrive at Amazon. We focus on the entire employee life-cycle to improve both business and employee outcomes. This entails doing longitudinal survey research, organizational network analysis, experimental and quasi-experimental studies for causal inference, building services that plug-in to other tools, and providing general consultation to stakeholders. We aim to improve the outcomes of our business and employees by doing cutting edge social science research.The Role:As a Data Scientist at Amazon, your main focus will be on developing predictive models, simulation, visualization, and support structures for data analysis.
US, WA, Seattle
The Organizational Research and Measurement team conducts research supporting all Amazon corporate employees. Our goal is to build talent systems to enable employees to thrive at Amazon. We focus on the entire employee life-cycle to improve both business and employee outcomes. This entails doing longitudinal survey research, organizational network analysis, experimental and quasi-experimental studies for causal inference, building services that plug-in to other tools, and providing general consultation to stakeholders. We aim to improve the outcomes of our business and employees by doing cutting edge social science research.The Role:As a Data Scientist at Amazon, your main focus will be on developing predictive models, simulation, visualization, and support structures for data analysis.
US, WA, Seattle
The AWS Central Economics team is looking for a PhD economist. The ideal candidate will have experience with time-series forecasting.You will learn about cloud products, including compute, storage, and databases. You will work on analytic projects requested by senior leadership. You will get the opportunity to learn new techniques. You will be a part of a team with many experienced economists.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
US, WA, Seattle
Amazon Web Services is looking for world class scientists to join the Security Analytics and AI Research group within AWS Security Services. This team is entrusted with researching and developing core data mining and machine learning algorithms for various AWS security services like GuardDuty (https://aws.amazon.com/guardduty/) and Macie (https://aws.amazon.com/macie/). On this team, you will invent and implement innovative solutions for never-before-solved problems. If you have a passion for security and experience with large scale machine learning problems, this will be an exciting opportunity.The AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. The team interacts with security researchers to codify our own learnings and best practices and make them available for customers. We are building massively scalable and globally distributed security systems to power next generation services.Key Responsibilities:· Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment· Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services· Report results in a scientifically rigorous way· Interact with security engineers and related domain experts to dive deep into the types of challenges that we need innovative solutions forHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we 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 remind team members to seek diverse perspectives, learn and be curious, and earn trust.
AT, Graz
Location: Graz, AustriaDuration: 3-6 monthsAbout us:We are working on the future. If you are seeking an innovative, fast-paced environment where you can apply state-of-the-art technologies to solve extreme-scale real world challenges and provide visible benefit to end-users, this is your opportunity: Come work on the Amazon Prime Air team!We are looking for an outstanding computer vision / machine learning applied scientist who combines superb technical, research and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch applied scientists. We are looking for someone who innovates and loves solving hard problems. You will work hard, have fun, and of course, make history!Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf.About those internship roles:Are you inspired by innovation? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? If your answer is yes then you’ll fit right in here. We are a smart team of doers that work passionately to apply cutting edge advances in autonomous drone delivery and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet. We invent new improvements every day. We are Amazon Prime Air and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.Prime Air at Amazon is seeking a talented and motivated student to join the Prime Air team for an Internship assignment. The candidate will have the opportunity to work with senior engineering staff on existing and new modules and systems. The ideal candidate has solid coding skills, enjoys problem solving and has at least one of the following: strong computer vision skills, strong machine-learning skills, or, strong computer graphics skills.Applicants should have at a minimum one quarter/semester remaining after their internship concludes.As an Applied Scientist intern, you will be responsible for data-driven improvements to our product. Regardless of the team you join, your work will directly impact our customers. You will:· Collaborate with colleagues from science, engineering and business backgrounds.· Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.· Push the state-of-the-art in computer vision, machine learning or computer graphics for large-scale real world problems.· Summarize and present your contributions in a white paper or peer reviewed scientific publication.
US, WA, Seattle
The Organizational Research and Measurement (ORM) Team within World Wide Consumer guides the talent strategy for Amazon’s largest workforce comprised of over one million Amazon global employees across order fulfillment, transportation, corporate, consumer, and customer service organizations. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver data products and solutions across the employee lifecycle including onboarding; high-potential identification; talent development; engagement; movement; retention; and attrition.We are looking for an applied scientist who is able to engineer end-to-end solutions for complex science and business problems around the future of talent evaluation, development, and management at Amazon. You will work closely with I/O psychologists, economists, engineers, and business partners to estimate and validate models on large scale data, and turn the results of these analyses into products, policies, programs, and actions that have a major impact on Amazon’s business. We are looking for creative thinkers who can combine strong data science, software engineering, UX and product development skillsets with a desire to innovate, and who know how to execute and deliver on big ideas.Key Responsibilities· Develop of start-to-finish data product solutions from requirements gathering and ideation, through interface design and implementation.· Design data infrastructure and pipelines for machine learning and analytics products.· Obtain, merge, analyze, and report data using SQL, statistics software, and data visualization tools.· Apply various statistical and machine learning techniques to analyze large and complex data sets.· Communicate applied machine learning and statistic concepts to project sponsors, business leaders, and development teams across Amazon.· Understand business customer needs, iterate on feedback, and drive adoption
US, WA, Seattle
The Organizational Research and Measurement (ORM) Team within World Wide Consumer guides the talent strategy for Amazon’s largest workforce comprised of over one million Amazon global employees across order fulfillment, transportation, corporate, consumer, and customer service organizations. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver data products and solutions across the employee lifecycle including onboarding; high-potential identification; talent development; engagement; movement; retention; and attrition.We are looking for an applied scientist who is able to engineer end-to-end solutions for complex science and business problems around the future of talent evaluation, development, and management at Amazon. You will work closely with I/O psychologists, economists, engineers, and business partners to estimate and validate models on large scale data, and turn the results of these analyses into products, policies, programs, and actions that have a major impact on Amazon’s business. We are looking for creative thinkers who can combine strong data science, software engineering, UX and product development skillsets with a desire to innovate, and who know how to execute and deliver on big ideas.Key Responsibilities· Develop of start-to-finish data product solutions from requirements gathering and ideation, through interface design and implementation.· Design data infrastructure and pipelines for machine learning and analytics products.· Obtain, merge, analyze, and report data using SQL, statistics software, and data visualization tools.· Apply various statistical and machine learning techniques to analyze large and complex data sets.· Communicate applied machine learning and statistic concepts to project sponsors, business leaders, and development teams across Amazon.· Understand business customer needs, iterate on feedback, and drive adoption
PL, Gdansk
Come and join the Database Migration Accelerator team that helps our customers migrate to the cloud. We are on a mission to transform legacy enterprise workloads into modern AWS native application architectures. We achieve this by utilizing cutting edge tools, sophisticated engineering systems and database expertise. We provide fixed price and high speed migrations to the cloud. Database Migration Accelerator is combining various AWS cloud platform services into one product which would serve our customers.We are a team of professionals that are forward-looking and using latest technology offerings (AWS cloud services, Machine Learning, Mathematical Optimization, Relational and NoSQL databases) to build new capability to operationalize and automate migration methodologies. Databases Services at AWS cover a range of data platforms including: Amazon Aurora, DynamoDB, Redshift, Athena, as well as AWS Database Migration Service, Data Pipeline, Glue and more. As each service grows, so does adoption by customers world-wide.We have an opportunity for a Senior Applied Scientist who is passionate about combining machine learning with developing new offerings for the cloud and is enthusiastic about applying bold new ideas to real-world problems.Joining the AWS Database Services team as a Senior Applied Scientist gives you the opportunity to:· Work for a company that’s at the forefront of the cloud computing space.· Be a part of something unique what no other previously developed and was successful.· Design machine learning solutions to intelligently move enterprises to the cloud.· Truly own the solution from concept design through development to production.· Join the team whose activities are regularly called out publicly by AWS CEO Andy JassyWork/Life BalanceOur team places value on work-life balance. Our team is global, based in the US and Poland. Our Poland teams typically start later in the day to have a couple of hours of overlap with US teams.Mentorship & Career GrowthOur team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Our senior engineers mentor more junior engineers through one-on-one mentoring and collaborative code reviews. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skillset.Inclusive Team CultureWe get to build a really cool service and the main contributing factor to our success is the inclusive and welcoming culture that we embody every day.We welcome teammates who are enthusiastic, empathetic, curious, motivated, reliable, and able to collaborate with a diverse team of peers.As a Senior Applied Scientist, your responsibilities will include:· Building new cloud based Machine Learning solutions and algorithms to accelerate migrations to the cloud· Participating in hands-on machine learning experimentation and delivering the results in the form of new products· Creating technical strategies and delivering with limited guidance· Solving difficult and complex software problems. Your solutions should be extensible· Cross-collaborating with a number of different teams with overlapping work, including solutions architects, developers, product managers, senior leaders, and many more· Mentoring more junior members of the team or collaboration partners
PL, Gdansk
Come and join the Database Migration Accelerator team that helps our customers migrate to the cloud. We are on a mission to transform legacy enterprise workloads into modern AWS native application architectures. We achieve this by utilizing cutting edge tools, sophisticated engineering systems and database expertise. We provide fixed price and high speed migrations to the cloud. Database Migration Accelerator is combining various AWS cloud platform services into one product which would serve our customers.We are a team of professionals that are forward-looking and using latest technology offerings (AWS cloud services, Machine Learning, Mathematical Optimization, Relational and NoSQL databases) to build new capability to operationalize and automate migration methodologies. Databases Services at AWS cover a range of data platforms including Amazon Aurora, DynamoDB, Redshift, Athena, as well as AWS Database Migration Service, Data Pipeline, Glue and more. As each service grows, so does adoption by customers world-wide.We have an opportunity for a Senior Applied Scientist who is passionate about mathematical optimization with developing new offering for the cloud and is enthusiastic about applying bold new ideas to real-world problems.Joining the AWS Database Services team as a Senior Applied Scientist gives you the opportunity to:· Work for a company that’s at the forefront of the cloud computing space· Be a part of something unique what no other previously developed and was successful.· Design mathematical optimization algorithms to intelligently move enterprises to the cloud.· Truly own solution from concept design through development to production· Join the team whose activities are regularly called out publicly by AWS CEO Andy JassyWork/Life BalanceOur team places value on work-life balance. Our team is global, based in the US and Poland. Our Poland teams typically start later in the day to have a couple of hours of overlap with US teams.Mentorship & Career GrowthOur team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Our senior engineers mentor more junior engineers through one-on-one mentoring and collaborative code reviews. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skillset.Inclusive Team CultureWe get to build a really cool service and the main contributing factor to our success is the inclusive and welcoming culture that we embody every day.We welcome teammates who are enthusiastic, empathetic, curious, motivated, reliable, and able to collaborate with a diverse team of peers.As a Senior Applied Scientist, your responsibilities will include:· Build new cloud based mathematical solutions and algorithms to accelerate migrations to the cloud· Participate in algorithms experimentation and deliver the results in the form of new products· Develop scalable optimization algorithms for moving customer workloads to cloud environments. Create technical strategies and deliver with limited guidance· Creating technical strategies and delivering with limited guidance· Solving difficult and complex software problems. Your solutions should be extensible· Cross-collaborating with a number of different teams with overlapping work, including solutions architects, developers, product managers, senior leaders, and many more· Mentoring more junior members of the team or collaboration partners
US, NY, New York
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLCPosition: Data Scientist IILocation: New York, NYPosition Responsibilities:Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
US, WA, Seattle
Amazon seeks a results-oriented Data Scientist to deliver world-class forecasts for our Kids+ subscription product.Kids+ brings together all types of content that kids and parents love including books, games, Audible books, educational apps, and videos. It provides peace of mind for parents with parental controls and a world of fun for kids to choose from thousands of the most popular titles and age-appropriate content. Here's more information: https://www.amazon.com/kidsplusA qualified candidate will have demonstrable experience with top-down and bottoms-up forecasts. They will be able to choose from among a number of forecasting approaches, depending on the needs of the business for either a prediction- or explanation-optimized forecast, and they will be able to explain trade-offs in their modeling choices to business stakeholders. Iterative delivery in a production environment is a must, so a qualified candidate will have a track record of delivering forecast improvements on an established timeline.Experience working in a subscription content or other recurring revenue businesses is highly desirable.
US, WA, Seattle
Are you excited about powering Amazon’s physical stores’ expansion through the application of Machine Learning and Big Data technologies? Do you thrive in a fast-moving, innovative environment that values data-driven decision making, scalable solutions, and sound scientific practices? We are looking for experienced scientists to build the next level of intelligence that will help Amazon physical stores grow and succeed.Our team is responsible for building the core intelligence, insights, and algorithms that support the real estate acquisition strategies for Amazon physical stores. We are tackling cutting-edge, complex problems — such as predicting the optimal location for new Amazon stores — by bringing together numerous data assets from disparate sources inside and outside of Amazon, and using best-in-class modeling solutions to extract the most information out of them.You will have a proven track-record of delivering solutions using advanced science approaches. You will be comfortable using a variety of tools and data sources to answer high-impact business questions. You will transform one-off models into automated systems. You will be able to break down complex information and insights into clear and concise language and be comfortable presenting your findings to audiences with a broad range of backgrounds.Responsibilities:· Develop production software systems utilizing advanced algorithms to solve business problems.· Analyze and validate data to ensure high data quality and reliable insights.· Partner with data engineering teams across multiple business lines to improve data assets, quality, metrics and insights.· Proactively identify interesting areas for deep dive investigations and future product development.· Design and execute experiments, and analyze experimental results in collaboration with Product Managers, Business Analysts, Economists, and other specialists.· Leverage industry best practices to establish repeatable applied science practices, principles & processes.
CA, ON, Toronto
Alexa is the name of the Amazon cloud-based voice service that powers the Echo, Echo Dot, Echo Show and more. Just ask Alexa for information, music, news, weather, and more. And now you can send a message, make a call, play announcements, or drop in on your closest friends & family via Alexa devices or the Alexa app!It’s still Day One for the Alexa Communications team – we have a lot to innovate and build to make communication through Alexa devices a magical experience. We’re working hard, having fun, and making history; come join us! The Alexa communications team is working to become the most natural way for people to communicate, and the challenge ahead is significant. We're a high energy, fast growth business excited to have the opportunity to define the future of voice-controlled communications, make Alexa even more useful, and delight customers around the world.We are seeking talented Software Development Engineers to join our Comms Media teams. These teams provide the mechanisms and services that allow our Customers to connect and communicate with each other around the world. In this role you will have an enormous opportunity to make a large impact on the design, architecture, and implementation of cutting edge products used every day, by people you know.The ideal candidate will be passionate about an opportunity to build elegant systems in the most efficient ways, pushing the limits of current technology and challenging the status quo.Key responsibilities include:· Develop and launch core product features· Influence our overall strategy by helping define product features, drive the system architecture, and spearhead the best practices that enable a quality product· Create world class software and Alexa experiences· Interact with cross-functional engineering teams across the company· Dive into and take ownership of mission critical software puzzles· Participate in and drive design reviews· Contribute significantly to key communications quality of Alexa· Innovate, prototype, and create new technology· Design and architect a highly performant, critical application at large scale· Work in an Agile environment to deliver high quality software
US, WA, Seattle
Are you passionate about conducting research to drive real behavioral change for front line employees? Would you love to see your research in practice, impacting nearly a million Amazonians globally and improving the employee experience? If so, you should consider joining Organizational Research and Measurement (ORM)! Our goal is to be best and most diverse workforce in the world. ORM uses science, research and technology to optimize employee experience and performance across the full employee lifecycle, from first contact through exit.We use survey research, market research, machine learning, and causal modeling to understand business dynamics, drive behavioral change, support evidence-based decision-making, and help develop innovative, intelligent products that Attract, Hire, Retain, Grow, and Gracefully Exit all employees in WWConsumer. We are looking for someone with a strong business acumen and who is a multi-disciplinary, experienced researcher/methodologist who can expertly navigate complex, ambiguous business challenges by asking the right questions, knowing what methodologies to use (and why), efficiently analyzing data, and communicating results to multiple audiences (e.g., technical peers, functional teams, business leaders). The ideal candidate will have a strong bias for action, effective communication skills (writing, interpersonal, public), deep expertise across all facets of research fundamentals (research design, measurement, statistics), the drive to deliver high quality results quickly, and the ability to adapt to ever-evolving work environments and business priorities.Major responsibilities will include:- Lead research initiatives to effectively measure and strengthen Amazon’s organizational culture as it relates to safety.- Conduct experimental and quasi-experimental research to measure the impact of various initiatives, and influence of processes and policies on Amazon's safety culture and other safety outcomes.- Collaborate with a cross-functional team that has expertise in social science, machine learning, econometrics, psychometrics, natural language processing, forecasting, optimization, business intelligence, analytics, and programs.- Query from multiple data sources, data cleaning and exploration, and advanced statistical analysis.· Write high-quality, evidence-based documents that help provide insights to business leaders and gain buy-in.· Serve as a subject matter expert on a wide variety of topics related to research design, measurement, and analysis.
US, WA, Seattle
Are you passionate to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions to help Selling Partners and Customers on Amazon? The North American Consumer Recruitment and Development team is looking for a Senior Applied Scientist to lead us on our mission to recruit all the brands in the world to sell on Amazon, while empowering them to grow their business and provide a great customer experience. Selling on Amazon is one of the fastest growing businesses at Amazon.com and empowers millions of entrepreneurs worldwide. To drive this unprecedented scale, our entrepreneurial team of sales reps, account managers, product managers, and software engineers continuously invent new ways to scale and raise the bar for our selling partners through automation.As a Senior Applied on our team of scientists, engineers, and product managers, you will have opportunities to create significant impact on our systems, our business and most importantly, our customers as we take on challenges that can revolutionize the e-commerce industry. You will expose and measure current Selling Partner Recruitment and Development performance. You will identify specific and actionable opportunities to solve existing business problems, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user of advanced quantitative techniques and data visualization for answering specific business questions, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.Major responsibilities- Use statistical and machine learning techniques to create scalable recommendation systems- Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes- Design, development and evaluation of highly innovative models for predictive learning- Work closely with software engineering teams to drive real-time model implementations and new feature creations- Work closely with operations staff to optimize various business operations,- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
US, CA, Berkeley
The Amazon Search team creates powerful, customer-focused search and advertising solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day.Within Amazon Search, the Midas team has a mission to solve customer problems that require advancing the state of the art in machine learning. We work backwards from the customer to create value for them by addressing an underlying, unsolved scientific problem. We deploy our solutions through distributed systems that operate at millisecond latencies at Amazon scale. We strive to publish our solutions and open-source our software so that the broader scientific community can benefit.As an applied scientist on our team, your role is to leverage your strong background in Computer Science and Machine Learning to help build the next generation of our model development and assessment pipeline, harness and explain rich data at Amazon scale, and provide automated insights to improve machine learned solution that impact millions of customers every day. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. The ideal candidate will have experience with machine learning models and information retrieval system. We are particularly interested in experience applying natural language processing, deep learning, and reinforcement learning at scale. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.Your responsibilities include:· Analyze the data and metrics resulting from traffic into Amazon's product search service.· Design, build, and deploy effective and innovative ML solutions to improve various components of the search stack, such as indexing, ranking, and query autocompletion.· Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.· Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR.Your benefits include:· Working on a high-impact, high-visibility product, with your work improving the experience of millions of customers.· The opportunity to use (and innovate) state-of-the-art ML methods to solve real-world problems.· Excellent opportunities, and ample support, for career growth, development, and mentorship.· Competitive compensation, including relocation support.The Midas team operates primarily out of Amazon's Berkeley office with some members reporting in Palo Alto. We are a new and expanding team where you will have an opportunity to influence our goals and mission. We are a mix of applied scientists and software engineers who collaborate with other teams within Amazon Search to solve and deploy machine learning solutions at scale.
US, WA, Seattle
Amazon strives to ensure that customers have access to a wide selection of goods, and that those goods meet all safety and regulatory standards. A new economics team launched by PARS-Tech (Product Assurance, Risk, and Security) will proactively study process improvements that maintain selection while simultaneously ensuring safety of our customers, partners, and Associates.The team is small but influential, and will work with the broader PARS team to develop science in this new area. A unique highlight of this team is that it offers an all-encompassing glimpse of the logistical chain, including: product development, transport across borders, storage and handling in fulfillment centers, information presentation on the detail page, shipping and returns. The team will be incubated for the first year inside of Core AI, an interdisciplinary team working on the cutting edge of economics, statistical analysis, and machine learning whose mission is to solve AI and ML problems that have high risk with abnormally high returns. Core AI offers access to world-class academic scientists and researchers that will consult and collaborate in developing solutions.The ideal candidate will be able to: (1) use economic theories to structure ambiguous problems; (2) define proper metrics and assemble unique datasets to test hypotheses; (3) assess and interpret (causal) empirical relationships using data; and (4) design and test how incentives affect behavior, taking into account dynamic long-term and strategic factors. We seek creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.