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Advance the state of the art in customer-obsessed science.
Luciana Buriol is seen standing in front of a large whiteboard filled with equations, she is standing toward the center, smiling with her hands clasped behind her back
When I thought about coming to Amazon, this is what I wanted to do. It’s a huge problem, complex, and it demands that we be talking with people from different groups.
Luciana Buriol, principal research scientist

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68 results found
  • CA, ON, Toronto
    Job ID: 2118126
    (Updated 4 days ago)
    Job summaryThe Automated Reasoning Group in AWS Cloud Management is looking for an Applied Scientist with experience in building and applying scalable software analysis solutions that will delight customers. You will be part of a world-class team building the next generation of automated reasoning tools and services for software validation. You will apply your knowledge to propose solutions, create prototypes, and transform prototypes into production systems. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You have strong verbal and written communication skills, are self-driven and deliver high quality results in a fast-paced environment.Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS ensures that the systems through which we deliver these capabilities are secure, available, durable and functionally correct. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/Inclusive Team CultureHere 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 host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.Key job responsibilitiesAs an applied scientist, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will:* Research algorithms in code-level automated reasoning involving the Java and Go languages to scale automated proofs of AWS code* Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, ease of use, and security* Use software engineering best practices to ensure a high standard of quality for all of the team deliverables* Prove properties of business-critical software and systems softwareAbout the teamAWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. AWS Systems Manager is the operations hub for the AWS cloud. Many customers from startups to enterprises are running their entire infrastructure or parts of it in AWS. Operating this infrastructure in the cloud in a reliable way is absolutely important to our customers and we are a core part of that story. Many IT administrators and DevOps engineers rely on Systems Manager to operate their infrastructure safely and securely at scale. Systems Manager provides a unified operational dashboard to view operational data from multiple AWS services, manage large fleet of instances, manage their distributed applications as a single unit and automate their operational tasks/runbooks and define safe operational workflows.You will be working with a team of formal verification specialists spanning recently hired PhDs to industry veterans. You will work collaboratively to deliver results in the form of verified code and tools to accelerate code verification for our customer teams. Our vision is to provide solutions that are proven correct without compromising performance.
  • CA, ON, Toronto
    Job ID: 2105415
    (Updated 12 days ago)
    Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As an Applied Scientist on this team, you will: Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.Run A/B experiments, gather data, and perform statistical analysis.Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.Research new and innovative machine learning approaches.Recruit Applied Scientists to the team and provide mentorship.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
  • (Updated 13 days ago)
    Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As an Applied Scientist on this team, you will: Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.Run A/B experiments, gather data, and perform statistical analysis.Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.Research new and innovative machine learning approaches.Recruit Applied Scientists to the team and provide mentorship.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
  • (Updated 6 days ago)
    Job summaryLocations we will consider: Open to hiring in Toronto, New York, and Virginia.Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. 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. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.As a Senior Data Scientist on this team, you will: Lead Data Science solutions from beginning to end.Deliver with independence on challenging large-scale problems with complexity and ambiguity.Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.Build Machine Learning and statistical models to solve specific business problems.Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.Analyze historical data to identify trends and support optimal decision making.Apply statistical and machine learning knowledge to specific business problems and data.Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.Build decision-making models and propose effective solutions for the business problems you define.Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
  • CA, ON, Toronto
    Job ID: 2103451
    (Updated 13 days ago)
    Job summary Are you seeking an environment where you can drive innovation? Do you want to apply machine learning techniques and advanced statistical modeling to solve real world problems to help Amazon reach and delight millions of customers around the world? Do you want to play a crucial role in the future of Amazon?Every time an Amazon customer makes an order they leverage the most advanced and sophisticated supply chain the world has ever seen, Amazon Operations, and its global network comprising of cutting edge software, fulfillment centers, sort centers, delivery stations, airports, customer service centers, physical stores, robots, airplanes, trucks, vans, trucks, world class employees, trusted partners, and more. Conducting a symphony of this scale comes with significant costs. It also comes with the largest repository of supply chain data to exist that’s growing by billions of data points by the minute. Here in Consumer Controllership Data Science our data scientists raise the bar on our ability to fulfill promises to customers at greater convenience, speed, and value through:Leveraging the largest repository of supply chain data to ever exist to develop models to forecast, classify, and detect anomalous costs.Working with technical and non-technical customers across every step of data science project life cycle.Collaborating with our dedicated product, data engineering, and software development teams to create production implementations for large-scale data analysis.Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.Presenting research results to our internal research community.Leading training and informational sessions on our science and capabilities.Your contributions will be seen and recognized broadly within Amazon, potentially contributing to the Amazon research corpus and patent portfolio. This role can work out of the following locations: Seattle, Bellevue, Austin, Arlington, Santa Monica, or Toronto, Canada.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age
  • CA, BC, Vancouver
    Job ID: 2101300
    (Updated 14 days ago)
    Job summaryThe moment a customer makes a payment on Amazon is when trust is established – trust that the item is delivered on time, a refund is provided quickly if needed, a digital movie purchased will play immediately, a seller receives their disbursement, and hundreds of other experiences across Amazon when a customer completes a payment. The Payment Acceptance & Experience (PAE) team, within the Consumer Payments organization, has the mission to build the most trusted, intuitive, and accessible payment experience on Earth. Within PAE, the PAE ML team has a mission to enhance customer payments experience that requires advancing the state of the art in machine learning. We work backwards from the customer to create value for them by leveraging an underlying applied science methodology. We deploy our solutions through Native AWS services that operate at Amazon scale. We strive to publish our solutions and share our findings so that the broader Amazon 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 impacts Payments experience of 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 applying science to various business contexts. We are particularly interested in experience applying predictive modeling, 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 Consumer Payments experiences.. Design, build, and deploy effective and innovative ML solutions to improve various components of the Consumer Payments experience, using predictive modeling, recommendations, anomaly detection, ranking, and forecasting.. 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/Forecasting.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 PAE ML team operates primarily out of Amazon's Seattle office. We are a new and expanding team where you will have an opportunity to influence our goals and mission. We collaborate with Software Engineering, Data Engineering, Product Management and Marketing teams within Amazon Consumer Payments to solve and deploy machine learning solutions at scale.Please visit https://www.amazon.science for more information
  • CA, BC, Vancouver
    Job ID: 2096097
    (Updated 17 days ago)
    Job summaryTerms of employment: Full time, permanent Job location: 1045 Howe Street, 5th Floor, Vancouver, BC, V6Z 2A9, Amazon Development Centre Canada ULCSalary range: $116,600 - $ 194,700, commensurable with experience.Language requirement: EnglishJOB DESCRIPTIONAs an Applied Scientist, you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.Your key responsibilities will include:• Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and Deep Learning (DL) applications.• Develop statistical models, optimization methods, and other ML techniques like (DL) to different applications in business and engineering.• Routinely produce artifacts in terms of technical reports, evaluation reports, and production-ready code packages that build and deploy models on available data.• Perform data analysis, A/B experimentation and modeling with large data sets to develop insights that increase product usage and customer experience.• Work closely with product managers and software engineers to design experiments and implement end-to-end solutions.• Communicate the optimization results to various business stakeholders.
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Science at Amazon around the world

Amazon scientists are working on hard problems in a variety of research areas across the globe. Click on a pin below to learn more about the customer-obsessed science being conducted at some of our global research locations.
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