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Applied Scientist
US, CA, East Palo Alto
Help AWS Build the Future!Amazon AI is looking for world class scientists and engineers to join its AWS AI Labs. This group is entrusted with developing core data mining, natural language processing, deep learning, and machine learning algorithms for AWS. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.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.
Solutions Analytics Intern - Business Intelligence
US, MA, Westborough
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.The Solutions Design Team is searching for an innovative and motivated Solutions Integration Intern to assist with the business operations functions while also supporting process improvement initiatives for the team. The Intern will play a key role in supporting all operational transactions for new and existing Fulfillment Centers, ensuring all system components meet requirements on time and on budget.The Solutions Design Team is responsible for incorporating the latest technologies in design and improving Amazon Robotic Fulfillment Centers. The Solutions Integration Intern is a key team member, integrating the latest product components from Hardware Engineering to the robotic system designs and implementing the project with our Demand Management team. This role requires excellent communication and project management skills to manage design timelines, process information from multiple stakeholders, and implement improvement initiatives for the team.Job Responsibilities:· Manage the entry of project BOMs into the company ERP system and collaborate with multiple functional groups across Hardware, Software, Manufacturing, and Supply Chain to ensure orders are complete and accurate;· Maintain and develop tools and dashboards to monitor program milestones, track and report capital spending, and maintain the solution design portfolio;· Maintain and improve the processes and methodology to expand the portfolio of Amazon Robotics fulfillment center designs, strategic tools, and models;· Demonstrate proven success as both an independent performer and a contributing member of a high-performing team; show the ability to deep dive and develop innovative ideas for process challenges.
Senior Applied Scientist
US, WA, Seattle
Are you passionate about making real-world impact on the lives of over one million Amazon employees? Do you want to use science and data-driven methods to build earth’s best employer and safest place to work? The Organization Research and Measurement is hiring a Senior Applied Scientist who has the vision to use science, research, and technology to improve employee experience across their full life-cycle, from their first contact through respectfully exit.The role will build machine learning features and products to bring employee’s point of views, recommendations, and concerns to the leadership team in an effective manner. The successful candidate uses a wide range of research and science tools, including natural language processing, machine learning, casual inference, and other analytics methods. The role designs the technical roadmap and leads the technical development of the full life-cycle of research and data analytics programs. This role works with diverse structured and unstructured data sources and is able to extract true signal from noises. This role designs and implements state-of-the-art machine learning models to solve the most challenging business problems.We are looking for someone who can work with ambiguous business problems and navigate complex and dynamic business environments. The role develops, executes, and delivers on detailed technical roadmap that influences across organizations. Successful candidate is able to make complex trade-offs between technical and business requirements. The role effectively communicates technical results to business audience to influence key leadership decisions. This role mentors junior scientists and guide them through technical challenges.Roles and Responsibilities:- Function as the tech lead of the team to design and implement state-of-the-art machine learning models, including natural language processing, deep learning, and other machine learning methods- Propose technical and research roadmap for the natural language processing and machine learning projects- Work with product teams to build machine learning features and solutions from inception to production- Comfortable work with ambiguous and dynamic business requirements and negotiate projects scope and timeline with business stakeholders- Collaborate with a cross-functional team that has expertise in social science, econometrics, psychometrics, forecasting, optimization, business intelligence, and engineering team- Exceptional written and verbal communication skills that can influence without authority; Able to communicate complex science concepts to business customers.- Mentor junior scientists and hold high scientific standard for the team
Applied Scientist
US, MA, Boston
The Automated Reasoning Group in AWS Platform is looking for an Applied Scientist with experience in building secure, scalable solutions that delight customers. You will be part of a world-class team building the next generation of automated reasoning tools and services. You will apply your knowledge to propose solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. 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 allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/As an applied scientist on team, 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 Rust and C languages to scale automated proofs of AWS code· · Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, 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 software· · Work in an agile, startup-like development environment, where you are always working on the most important stuff· · Work with the team to help drive business decisions· AWS 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 Platform is the glue that holds the AWS ecosystem together. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.Mentorship & Career GrowthWe have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.Inclusion and DiversityOur team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.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.This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.
Sr. Applied Scientist (Level 6)
US, MA, Boston
Are you passionate about automated reasoning and program analysis? Do you enjoy diving into the complexity of compilers, interpreters and programming languages? Do you want to enable developers around the world to benefit from automated reasoning tools that are sound, scalable and delightful to use? If so, then we have an exciting opportunity for you. The Automated Reasoning Group in AWS Platform is looking for an Applied Scientist who wants to design and implement the next generation of automated reasoning tools and services.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 allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/Mentorship & Career GrowthWe have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.Inclusion and DiversityOur team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.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.
Senior Data Scientist
IN, MH, Mumbai
*Role based in Luxembourg - eligible for relocation package.At Amazon, we strive to be the most innovative and customer centric company on the planet. Come work with us to develop innovative Customer Fulfilment products, tools and research driven solutions in a fast-paced environment by collaborating with smart and passionate leaders, program managers, data scientists and software developers. Our mission is to build the most efficient, intelligent and interpretable solutions on the planet.The EU Ops Integration Analytics team is part of Amazon EU Customer Fulfillment and is responsible for improving and supporting performance management of our Fulfilment Centers through state-of-the-art and scalable analytics solutions. We work backwards from the customer and define new innovative solutions that raise the bar on customer experience whilst constantly lowering our cost and supporting our continued growth.We are looking for a thought leader and you demonstrate this by delivering solutions, not just by having ideas. We encourage you to shape the business with data driven recommendations. A successful candidate has an entrepreneurial spirit and wants to make a big impact. You will develop strong working relationships and thrive in a collaborative team environment. Your role requires the ability to influence and interact with broad range of stakeholders (technical and non-technical). You draw from a broad data science expertise to mentor Data Scientists and Business Intelligence Engineers; following a rigorous scientific methodology, while providing leadership on complex analytical topics. You provide guidance on cutting-edge methods in big data processing, data science literature, experimentation and careful consideration of modeling decisions. We expect you to have breadth of data science knowledge, and depth in predictive modeling (supervised learning) and unsupervised learning (clustering).Key Responsibilities· Develop predictive models and decision science to guide program and operations teams on improving our customer experience (e.g. predicting concessions and optimizing the best action to take, sustainability and energy etc.)· Drive data science best practices and mentoring junior team members based on your in-depth knowledge in theoretical and practical data science disciplines.· Proactively seek to identify business opportunities and provide solutions based on a broad and deep knowledge of Amazon’s data resources, industry best-practices, and work done by other teams.· Partner with, coordinate, and influence multiple teams outside of EU Customer Fulfillment (Customer Service, Transportation, Amazon Logistics.), to support key initiatives.· Be the voice of the customer (end customer and data consumer), aligning stakeholders with scalable mechanisms to incorporate our models into product and engineering decision-making processes.· Drive and promote experimentation culture (e.g. A/B testing) with data-driven mindset and measurable approach.
Applied Scientist
US, WA, Bellevue
Amazon is the 4th most popular site in the US (http://www.alexa.com/topsites/countries/US). Our product search engine is one of the most heavily used services in the world, indexes billions of products, and serves hundreds of millions of customers world-wide. We are working on a new AI-first initiative to re-architect and reinvent the way we do search through the use of extremely large scale next-generation deep learning techniques. Our goal is to make step function improvements in the use of advanced Machine Learning (ML) on very large scale datasets, specifically through the use of aggressive systems engineering and hardware accelerators. This is a rare opportunity to develop cutting edge ML solutions and apply them to a problem of this magnitude. Some exciting questions that we expect to answer over the next few years include:- Can a focus on compilers and custom hardware help us accelerate model training and reduce hardware costs?- Can combining supervised multi-task training with unsupervised training help us to improve model accuracy?- Can we transfer our knowledge of the customer to every language and every locale ?This is a unique opportunity to get in on the ground floor, shape, and build the next-generation of Amazon Search. We are looking for exceptional scientists and ML engineers who are passionate about innovation and impact, and want to work in a team with a startup culture within a larger organization.Please visit https://www.amazon.science for more information
Applied Scientist
US, WA, Seattle
An information-rich and accurate product catalog is a strategic asset for Amazon. It powers unrivaled product discovery, informs customer buying decisions, offers a large selection, and positions Amazon as the first stop for shopping online. We use data analysis and statistical and machine learning techniques to proactively identify relationships between products within the Amazon product catalog. This problem is challenging due to sheer scale (billions of products in the catalog), diversity (products ranging from electronics to groceries to instant video across multiple languages) and multitude of input sources (millions of sellers contributing product data with different quality).Amazon’s Item and Relationship Identity Systems group is looking for an innovative and customer-focused applied scientist to help us make the world’s best product catalog even better. We believe that failure and innovation are inseparable twins. In this role, you will partner with technology and business leaders to build new state-of-the-art algorithms, models, and services to infer product-to-product relationships that matter to our customers. You will work in a collaborative environment where you can experiment with massive data from the world’s largest product catalog, work on challenging problems, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers.Position Responsibilities:· Map business requirements and customer needs to a scientific problem.· Align the research direction to business requirements and make the right judgments on research/development schedule and prioritization.· Research, design and implement scalable machine learning (ML), natural language, or computational models to solve problems that matter to our customers in an iterative fashion.· Mentor and develop junior applied scientists and developers who work on data science problems in the same organization.· Stay informed on the latest machine learning, natural language and/or artificial intelligence trends and make presentations to the larger engineering and applied science communities.
Senior Data Scientist, AWS Security- Ottawa/Toronto
CA, ON, Ottawa
Come and build innovative services that protect our cloud from security threats.As an AWS Security Senior Data Scientist, you’ll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure. You’ll work with security engineers, software development engineers, and other data scientists across multiple teams to develop innovative security solutions at massive scale. Our services protect the AWS cloud for all customers and preserves our customers’ trust in us. You’ll get to use the full power and breadth of AWS technologies to build services that proactively protect every single AWS customer, both internally and externally, from security threats – not many teams can say that!Mentorship & Career GrowthOur team is dedicated to supporting new team members. The team has a mix of experience levels, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, data scientists, and managers truly enjoy mentoring junior engineers, junior data scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews.We care about your career growth. We assign projects and tasks based on what will help team members develop into a more well-rounded data scientist and enable them to take on more complex tasks in the future.Inclusive and Diverse CultureOur team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build a cool service, but we also believe a big reason for that is the inclusive and welcoming culture we cultivate every day.We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers. We want someone who will help us amplify the positive & inclusive team culture we’ve been building.Here 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.Work/Life BalanceOur team values work life balance. We are passionate about the capabilities we build, and we are responsible for our on-call rotation to ensure our services bring value to our customers. We understand that life is challenging and we have a flexible work environment that enables individuals to adjust their work schedule to accommodate personal needs.
Senior Data Scientist - Human-in-loop ML/AI Services
US, CA, East Palo Alto
Interested in Machine Learning (ML) and Artificial Intelligence (AI)? Our team's mission is to make machine learning easy, stronger, and universal across data driven products and businesses. Our vision is to bring the best of humans and ML/AI algorithms to improve the entire machine learning model development lifecycle (the loop). We specialize in developing managed Human-in-loop ML/AI services (HIL) such as SageMaker Ground Truth for model training, Amazon Augmented AI for model inference, and Mechanical Turk for crowd intelligence. Our strategy is to bring the best of ML based automation to tasks such as ground truth generation via active learning and online learning approaches. Similarly, we provide powerful (human+machine) solutions for improving the efficiency of human processes via Augmented Artificial Intelligence.We are seeking an experienced Senior Data Scientist for the Human-in-loop ML/AI Services team. This is a role that combines data science leadership, organizational ability, technical strength, product focus and business understanding. It will be your job to help develop data science solutions for human-in-loop problems. You will work closely with the product and engineering teams to ship them to our customers. You are also expected to advise the HIL leadership team, mentor junior engineers and scientists and be a role model for Amazon Leadership Principles.Strong technical skill and experience doing doing data science are required. Our customers are strongly technical and the solutions we build for them are strongly coupled to technical feasibility.If you are ready for the challenge, come and help us design the future.About UsInclusive 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. 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.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.
Applied Scientist
US, WA, Bellevue
Amazon is looking for motivated and innovative individuals with strong analytical skills and practical experience to join our Middle Mile Planning Research and Optimization Science (mmPROS) team. We are hiring specialists at all levels for our scientific team with expertise in transportation and systems engineering, network and combinatorial optimization, stochastic optimization, algorithm design, pricing and yield management, machine learning and demand forecasting.Middle Mile Air and Ground transportation represents one of the fastest growing logistics areas within Amazon. Amazon Transportation Services transports millions of packages via air and ground and continues to grow year over year. Our team (mmPROS) is charged with researching and developing models, algorithms, data structures, and data representations for Amazon Delivery Technology (surface and air transportation) businesses globally. We develop optimization-based decision support for planning, routing, operations, pricing, topology, and resource planning that rely heavily on mathematical optimization, stochastic simulation, meta-heuristic and machine learning techniques. In addition, Amazon often finds existing techniques do not effectively match our unique business needs which necessitates the innovation and development of new approaches and algorithms to find an adequate solution.As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of Sellers with a platform for growing successful businesses. Thousands of Amazon Sellers ship their orders directly from their own warehouse and we are building software to help them offer their items through programs like Seller Fulfilled Prime, Fulfillment by Amazon Onsite, Merchant Fulfilled Same Day Delivery, and Premium. We innovate and design our services and tools with a focus on customer and seller experience, followed by our focus on technology and worldwide scaling.mmPROS is looking for an Applied Scientist, to be based in Seattle/Bellevue area, to support Seller Fulfillment Services.As an Applied Scientist focusing on research for Seller Fulfillment Services, you will play a key role in Amazon’s transportation and logistics strategic planning and operations. You will build systems and tools that help us to provide our customers with the largest selection of merchants at the lowest price, and the most reliable delivery service regardless of the seller. You will research, design and improve on the models that will impact Amazon’s customer directly. You will be working in a highly collaborative environment partnering with various science, product management, engineering, operations, finance, business intelligence and analytics teams to develop ML models and analytical tools. You will need to understand the business requirements and translate them into complex analytical outputs. You will design tests to explain performance of the models from impact on customer and cost perspective. You will create ML models to capture features impacting performance. You should be comfortable building prototypes, testing and improving them given the feedback from the real time data. You should be able to present your model and findings to a various range of stakeholders.An ideal candidate will be an expert in the areas of optimization, machine learning and statistics, with expertise in applying theoretical models in an applied environment. The candidate will be expected to work on numerous aspects of Machine Learning such as feature engineering, predictive modeling, probabilistic modeling, hyper-parameter tuning, scalable inference methods and latent variable models including transfer learning. Challenges will involve dealing with very large data sets and requirements on throughput.Responsibilities include:· Designing, implementing, testing, deploying, and maintain innovative models and data and machine learning solutions to accelerate our business.· Creating experiments and prototype implementations of new learning algorithms and prediction techniques· Collaborating with scientists, engineers, product managers, and stockholders to design and implement software solutions for science problems· Use machine learning best practices to ensure a high standard of quality for all of the team deliverablesAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age
Applied Scientist
US, MA, Boston
The Automated Reasoning Group in AWS Platform is looking for an Applied Scientist with experience in building secure, scalable solutions that delight customers. You will be part of a world-class team building the next generation of automated reasoning tools and services. You will apply your knowledge to propose solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. 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 allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/As an applied scientist on team, 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 Rust and C languages to scale automated proofs of AWS code· Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, 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 software· Work in an agile, startup-like development environment, where you are always working on the most important stuff· Work with the team to help drive business decisionsAWS 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 Platform is the glue that holds the AWS ecosystem together. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.This role can be based in Boston, NYC, Seattle, Bay Area, and other major cities.Mentorship & Career GrowthWe have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.Inclusion and DiversityOur team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.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.This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.
Applied Scientist
US, WA, Bellevue
The Automated Reasoning Group in AWS Platform is looking for an Applied Scientist with experience in building secure, scalable solutions that delight customers. You will be part of a world-class team building the next generation of automated reasoning tools and services. You will apply your knowledge to propose solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. 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 allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/As an applied scientist on team, 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 Rust and C languages to scale automated proofs of AWS code· Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, 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 software· Work in an agile, startup-like development environment, where you are always working on the most important stuff· Work with the team to help drive business decisionsAWS 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 Platform is the glue that holds the AWS ecosystem together. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.This role can be based in Boston, NYC, Seattle, Bay Area, and other major cities.Mentorship & Career GrowthWe have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.Inclusion and DiversityOur team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.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.This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.
Senior Applied Scientist
GB, London
Come build the future of entertainment with us.Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.We are looking for a Senior Applied Scientist to join the Video Quality Analysis (VQA) team. In this role you will leverage your strong background in Computer Vision and Machine Learning to help build the next generation of automated audio/video analysis at Amazon scale. Our business growth exceeds the capacity for people to monitor 1000s of global broadcast channels, 50,000+ annual live events across a wide variety of video formats, encoder profiles and monitoring points. We need to teach computers to automate that job for us so our customers always have the best possible experience. This role requires a pragmatic technical leader comfortable with ambiguity, capable of delivering and summarizing complex data and modelsthrough clear visual and written explanations. The ideal candidate will have experience with machine learning models and audio/video/image processing domain experience. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.You will work as part of one of our Agile teams, launching and growing new initiatives for Amazon's global business. As an applied scientist, you will be involved in every aspect of the process - from research, idea generation, and data analysis through to development and deployment across a variety of technologies - giving you true ownership on the future of our products. Together we take on hard technical problems, and build systems which meet high standards of performance and operate at massive scale.Amazon is a place where we use science and engineering to solve problems. We're looking for scientists and engineers who can delight customers by continually learning and inventing. From day one, you'll be working with experienced engineers, machine learning experts and other applied scientists who love what they do.
Applied Scientist II
IN, TS, Hyderabad
Amazon’s location and predictive routing inputs play a crucial role in our vehicle routing problems and other critical applications for Amazon , Prime Now, and other Amazon businesses. As part of the Last Mile Science & Technology organization, you’ll partner closely with other scientists and engineers in a collegial environment with a clear path to business impact. We have an exciting problem area to augment the maps and routing inputs used in Last Mile planning and navigation by leveraging the latest computer vision and deep learning techniques, and are actively looking to hire senior scientists to lead this area.Successful candidates will have a deep knowledge of competing machine learning methods for large scale computer vision problems, the ability to map models into production-worthy code, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long term problems.
Manager of Applied Science
US, CA, Palo Alto
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The 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 are seeking an experienced Applied Science Manager to join the Advertising Forecasting and Pricing team at Palo Alto, California. This team works on time series forecasting, auction theory, bid & allocation optimization, for Amazon Advertising business. Our group consists of talented scientists and engineers who owns our product end-to-end, from data collection, analysis, ideation, and prototyping, to development, metrics and monitoring. Our models and services are integrated directly with Amazon’s Ad eco system, and our forecasts are used to drive key business decisions at the VP/SVP level. The scientists on the team also contribute to the larger science communities, publishing papers at conferences both internally and externally. We are a fast-growing team in a rapid paced Advertising business, doubling in size every year for the past five years.AS an Applied Science Manager, you will:· Drive, build, and deliver the next generation of customer-facing machine learning solutions.· Bring a technical and scientific vision and leadership to Amazon’s Ad Forecasting team and ensure that our product is unparalleled in terms of quality, capability, innovation, and customer experience.· Lead your team to deliver state-of-the-art Machine Learning (ML) based solutions to improve Amazon’s Advertising performance and efficiency.Impact and Career Growth:You will invent new shopper and advertiser experiences, and accelerate the pace of Machine Learning and Optimization.Influence customer facing shopping experiences to helping suppliers grow their retail business and the auction dynamics that leverage native advertising, this role will be powering the engine of one the fastest growing businesses at Amazon.Define a long-term science vision for our ad marketplace, driven fundamentally from the needs of our customers, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams.This is a role that combines science leadership, organizational ability, technical strength, product focus and business understanding.In the immediate term, this role requires (a) addressing principles of allocation function and pricing in ad marketplace auctions, (b) developing efficient algorithms for multi-objective optimization and AI control methods to find operating points for the ad marketplace auctions and to evolve them, and (c) develop science talent around machine learning, Economics and optimization for WW Advertising.Why you love this opportunity: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.
Economist
US, WA, Seattle
This is a role that will drive experimentation strategy for all of AWS Marketing organization, and will enable strategic decision making at the highestA day in the lifeScoping out experiments with key marketing stakeholders, writing measurement docs and working with the engineering teams to automate measurement.About the hiring groupThe AWS Marketing ML & Science team owns all ML modeling, economics, experimentation and science projects for AWS Marketing organization.Job responsibilitiesAmazon Web Services (AWS) is building a world-class marketing organization, and we are looking for a Economist to apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. As a key member on the Marketing Data: Science & Engineering (D:SE) team you will partner with a team of experts across the fields of Product Management, Data Science, Machine Learning and Data Engineering to develop new and innovative solutions to some of the hardest challenges in Marketing. In this role, you will work on the key initiatives and partner with business stakeholders, to build solutions and recommendations to drive key business outcomes for the AWS business.About you:In this role, you will work on designing experiments, build causal econometric models to measure the effectiveness of our marketing programs, apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company. You have strong leadership qualities, great judgment, clear communication skills, and a track record of shipping great products.Key responsibilities:· Design paid media and AWS-owned channels (email, website, console) experiments, establish measurement frameworks· Partner with the key marketing teams (Acquisition, Nurture, Product, Email, Console, Website, Events and others) to scope out new experiments and seek out opportunities to measure Marketing organization's actions more effectivelyAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Data Scientist
US, WA, Seattle
Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.Please visit https://www.amazon.science for more information.Amazon has built a reputation for excellence with recent examples of being named the #1 most trusted company for customers. To deliver on this reputation for trust, the Seller Partner Abuse team is tasked with identifying and preventing abuse for our customers and brand owners worldwide.Seller Partner Abuse is seeking an innovative, results-oriented, customer-centric data scientist to drive expansion of innovative ML products globally in the Risk space. As a Data Scientist, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.Responsibilities:· Use predictive analytics and machine learning techniques to solve complex problems and drive business decisions.· Employ the appropriate algorithms to discover patterns of risks, and prevent abuse· Design experiments, test hypotheses, and build actionable models to optimize SPA policies and operations· Solve analytical problems, and effectively communicate methodologies and results both in writing and verbal· Build predict models to forecast risks for product launches and help predict workflow and capacity requirements for SPA· Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies· Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus areaAmazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
Intern - Economics
US, NC, Virtual Location - N Carolina
The Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Strong econometric, data and programming skills (R and Python) are necessary, and experience with SQL and AWS tools would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis in a data intensive and science drive environment and will also collaborate with economists, scientists and business stakeholders. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, please send your CV to our mailing list at [email protected] is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Applied Research Scientist
US, WA, Seattle
Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.Please visit https://www.amazon.science for more information.Amazon has built a reputation for excellence with recent examples of being named the #1 most trusted company for customers. To deliver on this reputation for trust, the Seller Partner Abuse team is tasked with identifying and preventing abuse for our customers and brand owners worldwide.Selling Partner Abuse is seeking an innovative, results-oriented, customer-centric Applied Research Scientist to drive expansion of innovative ML products globally in the Risk space. We are looking for an exceptional scientist to develop statistical models and algorithms to drive strategic business decisions and improve operations. You will work with business leaders, scientists, and product managers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions. As an Applied Scientist, you bring structure to ambiguous business problems and use science, logic, and practical experience to decompose them into straightforward, scalable solutions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems; you're interested in learning; and you acquire skills and expertise as needed. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.Responsibilities:· Leverage knowledge of statistics and optimization to frame decision-making problems· Build statistical models required to measure the impact of each system and platform· Predict future customer behavior and business conditions through machine learning and predictive modeling· Use analytical and predictive techniques to build models for optimizing and target specific products· Translate prototype models to production quality, large scale software systems· Present proposals and results in a clear manner backed by data and coupled with actionable conclusionsAmazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
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