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Matthias Seeger


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US, WA, Seattle
Job summaryThe Sourcing Guidance team is looking for an Applied Scientist to join our team in building science solutions at scale. Our team applies Machine Learning, Reinforcement Learning, Causal Inference, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business. We also develop Statistical Models and Algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Economists, Engineers, and Scientists incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.You will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable ML models. You will partner with scientists, economists, and engineers to help invent and implement scalable ML, RL, and econometric models while building tools to help our customers gain and apply insights. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems, enable measurable actions on the Consumer economy, and work closely with scientists and economists. We are particularly interested in candidates with experience building predictive models and working with distributed systems.As an Applied Scientist, you bring business and industry context to science and technology decisions. 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, acquiring expertise as needed. You decompose complex problems into straightforward solutions.To know more about Amazon science, Please visit https://www.amazon.science
US, CA, San Diego
Job summaryThe Sourcing Guidance team is looking for an Applied Scientist to join our team in building science solutions at scale. Our team applies Machine Learning, Reinforcement Learning, Causal Inference, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business. We also develop Statistical Models and Algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Economists, Engineers, and Scientists incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.You will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable ML models. You will partner with scientists, economists, and engineers to help invent and implement scalable ML, RL, and econometric models while building tools to help our customers gain and apply insights. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems, enable measurable actions on the Consumer economy, and work closely with scientists and economists. We are particularly interested in candidates with experience building predictive models and working with distributed systems.As an Applied Scientist, you bring business and industry context to science and technology decisions. 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, acquiring expertise as needed. You decompose complex problems into straightforward solutions.To know more about Amazon science, Please visit https://www.amazon.science
US
Job summaryPayments Security team is looking for an Applied Scientist to apply formal verification, program analysis, and constraint-solving to prove the correctness of critical systems. In this role, you will work closely with internal security teams to design and build formal verification systems that continuously assess safety and security. You will build on top of existing formal verification tools developed by AWS and develop new methods to apply those tools at scale. You will need to be innovative, entrepreneurial, and adaptable. We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality.
US, WA, Seattle
Job summaryWe are a team of doers working passionately to apply cutting-edge advances in technology to solve real-world problems. As a Research Scientist, you will work with a unique and gifted team developing exciting products for consumers and collaborate with cross-functional teams. Our team rewards intellectual curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the cutting edge of both academic and applied research in this product area, you have the opportunity to work together with some of the most talented scientists, engineers, and product managers.Here at Amazon, 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.
US, WA, Bellevue
Job summaryWhere will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today. The Topline Forecasting team in the Supply Chain Optimization Technologies (SCOT) group is looking for innovative, passionate and results-oriented Principal Economist to provide thought-leadership to help answer these questions. You will have an opportunity to own the long-run outlook for Amazon’s global consumer business and shape strategic decisions at the highest level. The successful candidate will be able to formalize problem definitions from ambiguous requirements, build econometric models using Amazon’s world-class data systems, and develop cutting-edge solutions for non-standard problems.Key job responsibilities• You understand the state-of-the-art in time series and econometric modeling.• You apply econometric tools and theory to solve business problems in a fast moving environment.• You excel at extracting insights and correct interpretations from data using advanced modeling techniques.• You communicate insights in a digestible manner to senior leaders in Finance and Operations within the company.• You are able to anticipate future business challenges and key questions, and have the ability to design modeling solutions to tackle them.• You have broad influence over the Topline team’s scientific research agenda and deliverables.• You contribute to the broader Econ research community in Amazon.• You advise other economists on scientific best-practices and raise the bar of research.• You will actively mentor other scientists and contribute to their career development.
US, CA, San Francisco
Job summaryWe are looking for a passionate and talented Applied Scientist who will collaborate with other scientists and engineers to leverage machine learning methods and algorithms for the modeling and analysis of data.You'll design models and run experiments, research algorithms, and find new ways of optimizing customer experience.You are the ideal candidate if you are passionate about delivering experiences that delight customers and creating solutions that are robust. You thrive in ambiguous environments that require to find solutions to problems that have not been solved before. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience to creating reliable, scalable, and high performance products. Your strong communication skills enable you to work effectively with both business and technical partners. You have hands-on experience making the right decisions about technology, models and methodology choices. You strive for simplicity, and demonstrate significant creativity and high judgment backed by statistical proof.Responsibilities include:· Design, implement, test, deploy and maintain innovative data and machine learning solutions to further the customer experience.· Create experiments and prototype implementations of new learning algorithms and prediction techniques· Collaborate with scientists, engineers, product managers and business stakeholders to design and implement software solutions· Use machine learning best practices to ensure a high standard of quality for all of the team deliverablesKey job responsibilities1. Design, implement, test, deploy and maintain innovative data and machine learning solutions to further the customer experience.2. Create experiments and prototype implementations of new learning algorithms and prediction techniques3. Collaborate with scientists, engineers, product managers and business stakeholders to design and implement software solutions4. Use machine learning best practices to ensure a high standard of quality for all of the team deliverables
US, VA, Arlington
Amazon is looking for a passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Speech and Language technology. This includes delivering innovative HR experiences for our employees. To get there, we need exceptionally talented, bright, and driven people. The Employee Services Technology (ES Tech) is growing rapidly and is looking for a talented senior applied scientist to create massive scale and powerful new solutions that our customers need to be successful. In this role, you will work to establish world class data science, analytics and reporting for Amazonians as part of building the Personalization Engine for myHR. This key role will work closely with internal partners to assist in developing and managing solutions for ES Tech. We are looking for candidates who want to invent the future for employee engagement.This role will be the science lead for all key ML and forecasting initiatives, responsible for building models and prototypes for ES Tech division, and will require close collaboration with other scientists on the team that are developing state-of-the-art optimization algorithms to scale. This team plays a significant role in various stages of the innovation pipeline from identifying employee needs, developing new algorithms, prototyping/simulation, to implementation by working closely with colleagues in engineering, product management and employee benefits.A day in the lifeAbout the hiring groupJob responsibilitiesAs a Senior member of the scientist team, you will play an integral part on our machine learning org with the following technical and leadership responsibilities:· Help the team define the forward looking Science roadmap and vision by helping to identify, disambiguate and seek out new opportunities· Interact with engineering, operations, science and business teams to develop an understanding and domain knowledge of processes, system structures, and business requirements· Apply domain knowledge and business judgment to identify opportunities and quantify the impact aligning research direction to business requirements and make the right judgment on research project prioritization· Develop scalable models to derive optimal or near-optimal solutions to existing and new scheduling challenges· Create prototypes and simulations to test devised solutions· Advocate technical solutions to business stakeholders, engineering teams, as well as executive-level decision makers· Work closely with engineers to integrate prototypes into production system· Mentor and supervise the work of junior scientists on the team for technical development and their career development and growth· Present business cases and document models, analyses, and their results in order to influence important decisions
US, CA, San Diego
Job summaryAmazon Fashion is where fashion and cutting-edge technology meet. As America’s ‘Biggest Apparel Retailer’ according to Forbes, we experiment with bold new ideas while leveraging Amazon’s unique strengths. The Amazon Fashion UX Design & Research team is dedicated to being the beacon of design excellence within this exciting, aspirational space. We are passionate about inventing on behalf of the customer, helping them find clothing and apparel inspiration, discover new products, and shop with inclusivity, delight, and ease. We aim to provide intuitive experiences that accommodate our growing and diverse selection, while enabling customers to make confident buying decisions, and having fun along the way.We are seeking a Senior Behavioral Researcher with is curious, driven, and passionate about marketing insights and analytics. You will manage a program that oversees customer sentiment at scale, using your unique research skills to uncover customer insights that help drive tactical and strategic product decisions across the organization. You will work alongside UX Researchers to advocate for our customers through quantitative and qualitative storytelling.Key job responsibilitiesIn this role, you will:* Own the development and establishment of a research program focused on measuring customer experience outcomes / Voice of the Customer, which provides thought leadership to product teams and the broader organization.* Design and execute empirical research of medium to large scale that measures customer behavior and sentiment. Own the end-to-end analysis process including defining key business questions, recommending measures, data sources, methodology and study design, dataset creation, analysis execution, interpretation and presentation and publication of results.* Triangulate insights with key top-of-funnel metrics (e.g. usage, engagement) and other datasets to develop regular ways to report on drivers of movement with recommended action items aligned to business goals.* Own all communications to project members and stakeholders on progress, issues, and risks, provide pre and post launch communications to impacted teams. Communicate insights to non-scientific audiences in a compelling way.* Work with Product partners to establish Voice of the Customer success metrics and tools for tracking and developing ongoing program improvement plans to meet relevant business needs.* Build durable, scalable points-of-view and knowledge management tools that are leveraged within the Amazon Fashion Team and by other organizations across Amazon.* Advocate for the right insights and prioritization of research – ensure the right research questions are being asked; educate the organization on opportunities revealed by your own research and that of others; create and execute against long-term research roadmaps and opportunity frameworks that align to and inform high-level business strategy and goals.* Join the small but growing number of Behavioral Scientists at Amazon in creating tools and resources for non-scientists to apply key principles to their work.
US, WA, Seattle
Job summaryThe Alexa Artificial Intelligence (AI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Natural Language Understanding (NLU), Audio Signal Processing, text-to-speech (TTS), and Dialog Management, in order to provide the best-possible experience for our customers.Key job responsibilitiesAs a Senior Applied Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.
US, MA, Cambridge
Job summaryAlexa is Amazon’s intelligent, cloud-based voice recognition, and natural language understanding virtual assistant. We’re building the speech and language solutions behind Amazon Alexa and other Amazon products and services. Come join our team and help improve the customer experience for the growing base of Alexa users!As a Senior Applied Scientist with our Alexa Artificial Intelligence (AI) team, you will work on assessing Alexa's performance using predictive ML models. You will build and improve models to classify Alexa’s responses as correct/incorrect, and predict the most likely cause of failure in cases of incorrect action. Your work will directly impact our customers in the form of products and services that make use of speech and language technology, particularly in developing predictive models to continuously improve the Alexa experience for our customers.Key job responsibilitiesYou will:· Design, build, test and release predictive ML models· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, and transformation.· Collaborate with colleagues from science, engineering and business backgrounds.· Present proposals and results to partner teams in a clear manner backed by data and coupled with actionable conclusions· Work with engineers to develop efficient data querying and inference infrastructure for both offline and online use cases
US, MA, Cambridge
Job summaryThe Alexa Artificial Intelligence (AI) team is looking for a passionate, talented and inventive Applied Scientist with a strong machine learning background to build state-of-the-art ML systems powering Alexa’s interactions with its customers. Join a dynamic and innovative team of scientists who are using machine learning, large scale database, information retrieval and natural language technologies to make Alexa more knowledgeable and accurate.Key job responsibilitiesAn Applied Scientist with Alexa AI will enjoy a creative environment that balances research with application. You will explore the frontier of Machine Learning techniques and help build a key piece for Alexa's functionality. You will work closely with engineering and business teams to lead the end-to-end process of identifying the problem, implementing the solution and scientifically measuring the impact on downstream systems. If you love massive scale problems, if you are creative, if you want to work on state-of-the-art entity representation, linking & knowledge graph problems - this is the team for you!A day in the life· Use NLP, deep learning and ML techniques to create scalable solutions for entity ingestion, linking and creation of enriched knowledge representations· Develop systems to extract & align entity information from massive structured and unstructured catalogs and knowledge bases and process them to build linked entity representations· Design, experiment and evaluate innovative models for predictive, explainable learning· Work with scientists from Alexa science teams to build state-of-the-art ML systems powering Alexa· Work with software engineering teams to drive real-time model experiments, implementations and new feature creations· Research and implement novel machine learning and statistical approaches
DE, BE, Berlin
Job summaryWe are looking for a motivated leader with solid management and product delivery experience to lead our Robotics AI team. The individual will drive the strategy and execution for deploying a system combining a mix of sensors with computer vision and machine learning approaches for robotic manipulation. This is an exciting opportunity to lead a team that is pushing into new robotics territories. If you are inspired by invention, advanced system integration, solving complex problems and working with highly talented teams, then Amazon Robotics AI might be a great fit.Key job responsibilitiesAs the leader, you will play an integral part in Amazon Robotics with the following technical and leadership responsibilities:Technical Responsibilities:· Manage and develop a team to deliver against product requirements, by aligning research and engineering· Apply domain knowledge and judgment to identify opportunities and quantify impact in business and academic environments· Develop clarity of requirements, goals and strategies to enhance system development· Apply advanced robotics research techniques to deploy scalable, optimal, or near-optimal solutions.· Define metrics and milestones to track the performance of research and development of a devised solutionsLeadership Responsibilities:· Manage and mentor team members for their career development and growth, teaching them about the business processes and critiquing their technical developments· Evaluate the quality and scalability of solutions through frequent detailed data-driven analysis during the research process and create audit mechanisms to ensure quality of implemented solutions· Align the research direction with product requirements
US, CA, San Diego
Job summaryAre you passionate about solving unique customer-facing problem in the Amazon scale? Are you excited by developing and productizing machine learning, deep learning algorithms and leverage tons of Amazon data to learn and infer customer shopping patterns? Do you enjoy working with a diversity of engineers, machine learning scientists, product managers and user-experience designers? If so, you have found the right match!Fashion is extremely fast-moving, visual, subjective, and it presents numerous unique problem domains such as product recommendations, product discovery and evaluation. The vision for Amazon Fashion is to make Amazon the number one online shopping destination for Fashion customers by providing large selections, inspiring and accurate recommendations and customer experience.The mission of Fit science team as part of Fashion Tech is to innovate and develop scalable ML solutions to provide personalized fit and size recommendation when Amazon Fashion customers evaluate apparels or shoes online. The team is hiring Applied Scientist who has a solid background in applied Machine Learning and a proven record of solving customer-facing problems via scalable ML solutions, and is motivated to grow professionally as an ML scientist.Key job responsibilities· Tackle ambiguous problems in Machine Learning and drive full life-cycle Machine Learning projects.· Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.· Run A/B experiments, gather data, and perform statistical tests.· Establish scalable, efficient, automated processes for large-scale data mining, machine-learning model development, model validation and serving.· Work closely with software engineers and product managers to assist in productizing your ML models.
US, WA, Seattle
Job summaryDo you want to apply machine learning to a completely new field for Amazon? Our team, part of Amazon Halo, is launching a new ambitious project dedicated to applying ML techniques to genomic & immunological data to help make people's lives better. Datasets will come from our own experiments. This is a chance to get in on the ground floor of an exciting new initiative.Key job responsibilities· Develop machine learning models & algorithms on genomics & immunological data.· Analyze scientific data to validate ML models & derive insights.· Communicate scientific findings internally & externally.
US, NY, New York
Job summaryWe are seeking a DSP Analytics scientist to further the development and application of analytics methods to examine the complex data flows of the DSP, and to translate deep-dives into actionable insights for our product teams. In this role you will develop new tools to analyze our advertising data to help improve the performance of our bidding algorithms, targeting and relevance systems, help advance our 3rd party and O&O supply strategy, and evaluate the adoption and impact of feature releases.Key job responsibilities· Analyze data trends regarding supply, optimization, ad load, and advertising mix effects that affect advertiser performance and contribute to achieving advertiser goals.· Present papers to senior leaders on issues like feature development impact on identity recognition rates, and changes of ad selection systems to improve fill rate highlighting insights that will inform our business development and engineering roadmaps.· Formalize our analytics approach to the DSP auctions by analyzing bid spreads, auction depth, and simulating impacts of potential auction structure changes.· Identify, standardize, and operationalize KPIs to effectively measure the performance of all systems involved in ad serving, and use trend insights to inform business priorities.· Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps.· Validate financial models through analysis· Develop and own ad revenue and supply intelligence analytics decks that provide ongoing deep-divesA day in the lifeThe Senior DSP Analytics Scientist will work closely with business leaders and engineers on developing common data architecture that will optimize our data logging at different grains, and will allow data interoperability from bid flow to optimization to campaign delivery. The candidate will then analyze the data and present papers and ongoing reports on actionable insights.About the teamThe Ads Science Product Team's Mission: Work alongside those who need product data to apply objective perspective and business logic to uncover insights, advise strategic decisions, and adjust to industry changes
AU, ACT, Canberra
There's never been a more exciting time to join Amazon Australia!Who are we and what do we do?We are a world class ML team based in Adelaide and created in April 2020 with the hire of the Director of Applied Science, Anton van den Hengel.The Amazon ML AU team is developing state-of-the-art large-scale Machine Learning methods and applications involving terabytes of data. We work on applying machine learning, and particularly computer vision, to a wide spectrum of areas such as Amazon Retail, Seller Services, and Online Video. We also publish our research in the best venues internationally.The team is high performing, learning-oriented, motivated to over-achieve, have fun, and make history. We also have access to great data, and the best computing infrastructure.About Anton van den HengelAnton was the founding Director of The Australian Institute for Machine Learning (Australia’s largest machine learning research group), and is currently the Director of the Centre for Augmented Reasoning and a Professor of Computer Science at the University of Adelaide.With over 18,000 citations and an H-index of 67, Anton is one of the worlds’ leading authorities on Computer Vision and ML.About the TeamThe vast majority of the team have PhDs in machine learning (ML) or a related area from some of the best institutions globally, including Oxford, Stanford, Edinburgh, and Imperial College London, and have published in the best places in the field including Science, NeurIPS, IEEE PAMI, and CVPR.The team includes two world-class Principal Scientists and an Amazon Scholar. We value diversity and collaboration to help each other succeed as a team.Where are we based?Although the team is mainly Adelaide based, we support flexible working options blending at home and in office from our offices inAdelaide, Sydney, Melbourne, Canberra or Brisbane.Who are we looking for?We are seeking to add a Manager, ML Applied Science to an already awesome team.The Manager, ML Applied Science role at Amazon will be a technical team leader working to develop new challenging machine learning applications, services and platforms that optimize Amazon’s systems using cutting edge quantitative techniques.This is one of the most exciting machine learning job opportunities on the internet today!If you have deep technical know how in machine learning, know how to deliver, are highly innovative, are passionate about leading and growing a team with a combination of applied scientists and engineers and are long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.What will I be working on?It’s fair to say that no two days are alike – so this position suits someone who enjoys variety and problem-solving:· Use machine learning, computer vision, data mining and statistical techniques to create new, scalable solutions for business problems· Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes· Design, develop and evaluate highly innovative models for predictive learning· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· Research, implement and publish novel machine learning and statistical approachesAdditional InformationWe have a number of current employees who split their time between lecturing at University and working for Amazon. Please let us know if this is of interest to you.We provide full visa sponsorship which is a relatively fast process as we have been successful in obtaining Distinguished Talent visas for this team (typically takes weeks rather than months).Full domestic and international relocation is also provided.About Amazon AustraliaAmazon offers great benefits including a competitive compensation and stock plan. We also look after our people with benefits including: subsidized private health and life insurance, commuter benefits and even an Amazon discount. Amazon 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, disability, age, or other legally protected status.For up to date news covering diversity and inclusion, sustainability and community engagement, please visit: https://www.aboutamazon.com.au/
AU, QLD, Brisbane
There's never been a more exciting time to join Amazon Australia!Who are we and what do we do?We are a world class ML team based in Adelaide and created in April 2020 with the hire of the Director of Applied Science, Anton van den Hengel.The Amazon ML AU team is developing state-of-the-art large-scale Machine Learning methods and applications involving terabytes of data. We work on applying machine learning, and particularly computer vision, to a wide spectrum of areas such as Amazon Retail, Seller Services, and Online Video. We also publish our research in the best venues internationally.The team is high performing, learning-oriented, motivated to over-achieve, have fun, and make history. We also have access to great data, and the best computing infrastructure.About Anton van den HengelAnton was the founding Director of The Australian Institute for Machine Learning (Australia’s largest machine learning research group), and is currently the Director of the Centre for Augmented Reasoning and a Professor of Computer Science at the University of Adelaide.With over 18,000 citations and an H-index of 67, Anton is one of the worlds’ leading authorities on Computer Vision and ML.About the TeamThe vast majority of the team have PhDs in machine learning (ML) or a related area from some of the best institutions globally, including Oxford, Stanford, Edinburgh, and Imperial College London, and have published in the best places in the field including Science, NeurIPS, IEEE PAMI, and CVPR.The team includes two world-class Principal Scientists and an Amazon Scholar. We value diversity and collaboration to help each other succeed as a team.Where are we based?Although the team is mainly Adelaide based, we support flexible working options blending at home and in office from our offices inAdelaide, Sydney, Melbourne, Canberra or Brisbane.Who are we looking for?We are seeking to add a Manager, ML Applied Science to an already awesome team.The Manager, ML Applied Science role at Amazon will be a technical team leader working to develop new challenging machine learning applications, services and platforms that optimize Amazon’s systems using cutting edge quantitative techniques.This is one of the most exciting machine learning job opportunities on the internet today!If you have deep technical know how in machine learning, know how to deliver, are highly innovative, are passionate about leading and growing a team with a combination of applied scientists and engineers and are long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.What will I be working on?It’s fair to say that no two days are alike – so this position suits someone who enjoys variety and problem-solving:· Use machine learning, computer vision, data mining and statistical techniques to create new, scalable solutions for business problems· Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes· Design, develop and evaluate highly innovative models for predictive learning· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· Research, implement and publish novel machine learning and statistical approachesAdditional InformationWe have a number of current employees who split their time between lecturing at University and working for Amazon. Please let us know if this is of interest to you.We provide full visa sponsorship which is a relatively fast process as we have been successful in obtaining Distinguished Talent visas for this team (typically takes weeks rather than months).Full domestic and international relocation is also provided.About Amazon AustraliaAmazon offers great benefits including a competitive compensation and stock plan. We also look after our people with benefits including: subsidized private health and life insurance, commuter benefits and even an Amazon discount. Amazon 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, disability, age, or other legally protected status.For up to date news covering diversity and inclusion, sustainability and community engagement, please visit: https://www.aboutamazon.com.au/
AU, VIC, Melbourne
There's never been a more exciting time to join Amazon Australia!Who are we and what do we do?We are a world class ML team based in Adelaide and created in April 2020 with the hire of the Director of Applied Science, Anton van den Hengel.The Amazon ML AU team is developing state-of-the-art large-scale Machine Learning methods and applications involving terabytes of data. We work on applying machine learning, and particularly computer vision, to a wide spectrum of areas such as Amazon Retail, Seller Services, and Online Video. We also publish our research in the best venues internationally.The team is high performing, learning-oriented, motivated to over-achieve, have fun, and make history. We also have access to great data, and the best computing infrastructure.About Anton van den HengelAnton was the founding Director of The Australian Institute for Machine Learning (Australia’s largest machine learning research group), and is currently the Director of the Centre for Augmented Reasoning and a Professor of Computer Science at the University of Adelaide.With over 18,000 citations and an H-index of 67, Anton is one of the worlds’ leading authorities on Computer Vision and ML.About the TeamThe vast majority of the team have PhDs in machine learning (ML) or a related area from some of the best institutions globally, including Oxford, Stanford, Edinburgh, and Imperial College London, and have published in the best places in the field including Science, NeurIPS, IEEE PAMI, and CVPR.The team includes two world-class Principal Scientists and an Amazon Scholar. We value diversity and collaboration to help each other succeed as a team.Where are we based?Although the team is mainly Adelaide based, we support flexible working options blending at home and in office from our offices inAdelaide, Sydney, Melbourne, Canberra or Brisbane.Who are we looking for?We are seeking to add a Manager, ML Applied Science to an already awesome team.The Manager, ML Applied Science role at Amazon will be a technical team leader working to develop new challenging machine learning applications, services and platforms that optimize Amazon’s systems using cutting edge quantitative techniques.This is one of the most exciting machine learning job opportunities on the internet today!If you have deep technical know how in machine learning, know how to deliver, are highly innovative, are passionate about leading and growing a team with a combination of applied scientists and engineers and are long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.What will I be working on?It’s fair to say that no two days are alike – so this position suits someone who enjoys variety and problem-solving:· Use machine learning, computer vision, data mining and statistical techniques to create new, scalable solutions for business problems· Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes· Design, develop and evaluate highly innovative models for predictive learning· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· Research, implement and publish novel machine learning and statistical approachesAdditional InformationWe have a number of current employees who split their time between lecturing at University and working for Amazon. Please let us know if this is of interest to you.We provide full visa sponsorship which is a relatively fast process as we have been successful in obtaining Distinguished Talent visas for this team (typically takes weeks rather than months).Full domestic and international relocation is also provided.About Amazon AustraliaAmazon offers great benefits including a competitive compensation and stock plan. We also look after our people with benefits including: subsidized private health and life insurance, commuter benefits and even an Amazon discount. Amazon 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, disability, age, or other legally protected status.For up to date news covering diversity and inclusion, sustainability and community engagement, please visit: https://www.aboutamazon.com.au/
US, WA, Seattle
Job summaryThe Sustainability Science & Innovation (SSI) team is both the scientific authority for sustainability at Amazon and its sustainability research and development team. The Materials Science and Innovation (MSI) team is a new and growing team within SSI focused on sustainable materials research, development, and commercialization of new technologies. We inform Amazon’s most senior leaders on Think Big opportunities around materials and sustainability so that they may place big bets that will help us take care of the planet, benefit customers, and enable continued business growth. We also work closely with academic, government, and other industry partners to collaborate on developing new materials solutions that scale beyond Amazon applications alone.We are looking for an experienced Sr. Scientist to help us develop and drive innovative scientific solutions that will improve the sustainability of materials in our products, packaging, operations, and infrastructure. In this role, you will lead applied research that is focused on decarbonization of the full life cycle of polymers. You will also partner with internal stakeholders on our business teams to rapidly transition new materials technologies to real-world applications.In addition to developing new, innovative materials solutions, you will also serve as an internal subject matter expert, helping our business teams understand and make informed, science-based decisions related to the materials they use.Key job responsibilities• Develop and lead early-stage, strategic sustainable materials initiatives and effectively influence, negotiate, and communicate with stakeholders• Manage innovation projects from ideation to commercialization• Engage with external thought leaders and companies developing innovative materials solutions• Stay current on new developments in the field of polymers and sustainability• Provide subject matter expertise to time-critical questions from multiple business teams• Professionally communicate to senior business leaders
US, WA, Seattle
Job summaryThe Sustainability Science & Innovation (SSI) team is both the scientific authority for sustainability at Amazon and its sustainability research and development team. The Materials Science and Innovation (MSI) team is a new and growing team within SSI focused on sustainable materials research, development, and commercialization of new technologies. We inform Amazon’s most senior leaders on Think Big opportunities around materials and sustainability so that they may place big bets that will help us take care of the planet, benefit customers, and enable continued business growth. We also work closely with academic, government, and other industry partners to collaborate on developing new materials solutions that scale beyond Amazon applications alone.We are looking for an experienced Sr. Scientist to help us develop and drive innovative scientific solutions that will improve the circularity of materials in our products, packaging, operations, and infrastructure. In this role, you will help conceptualize and develop new recycling technologies based on a deep understanding of materials. This is a dynamic role that will bring together materials science, chemical engineering, chemistry, and other scientific disciplines to devise and develop ways to keep materials in use. You will also partner with academic, government, and industries leaders to help develop solutions that scale beyond Amazon.In addition to helping develop new innovative materials solutions, you will also serve as an internal subject matter expert, helping our business teams understand and make informed decisions related to materials recycling technologies.Key job responsibilities• Develop and lead early-stage, strategic sustainable materials initiatives and effectively influence, negotiate, and communicate with stakeholders• Manage innovation projects from ideation to commercialization• Engage with external thought leaders and companies developing innovative recycling solutions• Stay current on new developments in the field of materials and advanced recycling technologies• Provide subject matter expertise to time-critical questions from multiple business teams• Professionally communicate to senior business leadersA day in the life