Research Science

Ring is looking for a Senior Applied Science Manager to lead the development of computer vision algorithm on the Edge. In this role, you will be the leader of our passionate, talented, and inventive scientists, to develop industry-leading Computer Vision (CV), Multimodal, and AI and drive them successfully to production for the benefit of millions of Amazon Devices users.This is a unique, high visibility opportunity for a leader who wants to have business impact, and dive deep into computer vision problems. We are particularly interested in candidates with experience productizing edge-based computer vision systems.Key job responsibilitiesAs a Senior Manager, Applied Science, 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.The ideal candidate is a strong, creative and highly-motivated Scientist with hands-on experience in leading multiple research and engineering initiatives. You balance technical leadership with strong business judgment to make the right decisions about technology, tools, and methodologies.BASIC QUALIFICATIONS- MS/PhD degree in Computer Vision, Machine Learning, or related areas.- Proven track record of shipping computer vision systems- 10+ years of working experience on computer vision systems in industry- 3+ years of managing experience of scientists- Excellent business writing, verbal communication, and cross discipline collaboration skills ...

The Automated Reasoning Group is looking for an Applied Scientist with experience in building scalable formal reasoning solutions that delight customers. You will be part of a world-class team building the next generation of tools and services by combining Automated Reasoning and Generative AI.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.You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills, are self-driven and own the delivery of 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. See https://aws.amazon.com/security/provable-security/As a Senior Applied Scientist in AWS AI, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will:* Define and implement new formal reasoning applications that employ scalable and efficient approaches to solve complex problems using Automated Reasoning and Generative AI technologies.* Apply software engineering best practices to ensure a high standard of quality for all team deliverables* Work in an agile, startup-like development environment, where you are always working on the most important stuff* Deliver high-quality scientific artifacts* Work with the team to lower the barrier of adoption for interactive theorem provers* Work with the team to help drive business decisionsLearn and Be Curious. We 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 Diversity. Our 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.Key job responsibilitiesLead the design and implement scalable systems for formal reasoning and automated theorem proving.Collaborate closely with internal and external users to understand their requirements for formal verification and automated reasoning.Enhance and extend the capabilities of formal reasoning systems to meet application-specific demands.Proactively identify and explore new opportunities for deploying and leveraging formal reasoning solutions across various domains.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- M.S. or Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field- At least 6 years of industrial/academic experience in interactive theorem proving, LLMs, and/or automated reasoning.- At least 6 years of experience with programming languages such as Rust, Python, C/C++ and open-source technologies and open-source technologies- At least 6 years of experience in design and analysis of algorithms and data structures ...

Are you looking for a challenge? Imagine being part of a team that owns one of the largest supply chain simulation systems in the world to predict inventory flows for the millions of items available on Amazon.com worldwide. Inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assigning to the best warehouse to fulfill customer demand to optimize long term free cash flow for Amazon. Our system lives at the heart of these algorithms, keeping up with the rapid pace of optimization improvements and simulating how they interact with each other. We simulate what these systems will do for months into the future, predicting inventory flows and key operational and financial metrics across the network. This experimentation platform is critical in understanding labor needs, managing our network capacity, and allowing continued optimizations to the many algorithms we simulate. Imagine enabling Amazon's supply chain systems to make data driven decisions based on simulations of trillions of inventory events per day.Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize inventory acquisition, enable a number of purchase options, ensure great pricing, store products so they are available for fast delivery, and minimize package frustration. The Supply Chain Optimization Technology (SCOT) Group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it. Within SCOT, the Inventory Planning Control (IPC) Simulation team is responsible for designing and executing the simulations to predict inventory flows for labor planning, predict the impact of new supply chain initiatives, and enable experimentation of new inventory policies developed by SCOT teams, expediting their development cycle.We are looking for a science manager to drive research innovation in SCOT by pushing IPC Simulation systems further upstream in the innovation process, developing new techniques and methodologies for both experimentation and prediction use cases, and applying existing models to our problem space and beyond. As an Amazon Science Manager, your work will impact on how we serve our customers so that they get the right product at the right time. In our team, you will be working in one of the world's largest data warehouse environments. You need to be a sophisticated user of data querying tools and advanced quantitative and modeling techniques, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication to drive change, as your work will be visible up to the highest business leaders in SCOT. You will own the roadmap and vision of IPC Simulation. Much of the job will require close collaboration with software development engineers, other scientists, science managers, and business teams to innovate for and solve problems of the future.Key job responsibilitiesAs a Senior Applied Science Manager in IPC, you will partner with the senior tech leaders in the organization to define the long term architecture of our decision optimization and prediction systems. You will play a key role in developing long term strategic solutions that have business impact beyond the scope of the organization. You will bring technical expertise in several technical areas of Operations Research or Machine Learning, and are able to help team to define and deliver the science vision. You will ensure senior leaders in the organization are up to speed on important trends, tools and technologies and how they will be used to impact the business. You are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs.BASIC QUALIFICATIONS- Ph.D. in Operations Research, Operations Management, Industrial Engineering, Statistics, Applied Mathematics, Computer Science or a related field.- 7+ years of experience in solving complicated problems in the area of Operations Management or similar disciplines developing strategies for large-scale logistic networks.- 7+ years of hands-on experience in building machine learning or optimization models in business environment.- Proven track in leading, mentoring, and growing teams of scientists. ...

We are designing the future. If you are in quest of an iterative fast-paced environment, where you can drive innovation through scientific inquiry, and provide tangible benefit to hundreds of thousands of our associates worldwide, this is your opportunity.Come work on the Amazon Worldwide Fulfillment Design & Engineering Team! We are looking for an exceptional Principal Reliability Engineer, someone that is excited to work on complex real-world challenges for which a comprehensive scientific approach is necessary to drive solutions. Your investigations will include identifying and mitigating reliability risks resulting in design and implementation of safe and reliable fulfillment center designs.We are seeking a Principal Reliability Scientist who will be responsible to lead reserach specific to reliability for Amazon Fulfillment Facilities.Key job responsibilitiesa. Employing a Failure based approach to develop and implement both analytical and empirical methods for identifying and evaluating reliability risks at the stages of facility design, MHE selection, and deployment.b. Lead research activities related Design for Reliability (DfR) initiatives for a warehouse, Develop predictive modelling techniques, and test plans. c. Lead AI-powered reliability solutions that combine data, machine learning, and domain knowledge about asset operations to help anticipate reliability risks, increase uptime, manage CapEx and OpEx costs, and improve productivity.d. Identifying gaps in current Reliability standards and guidelines, and lead comprehensive research to redefine “industry best practices” based on solid scientific foundations.e. Continuously strive to gain in-depth knowledge of your profession, as well as branch out to learn about intersecting fields, such as robotics and mechatronics.f. Travelling to our various sites to perform thorough assessments and gain in-depth operational feedback, approximately 25%-50% of the time.g. Regular communication with Executive management regarding status, risks and operational program metrics.BASIC QUALIFICATIONS- PhD or Master’s degree with 10+ years of relevant work in Reliability Engineering or related field - Design, Manufacturing or Materials Engineering experience in Automotive, Industrial, or High-Tech industries- Experience in Automotive, Industrial or High-Tech hardware Reliability Engineering roles - Bachelor's degree in Engineering / Science or related field -- Knowledge of reliability prediction software such as Weibull ++.- DOE skills - Broad range of failure analysis skills:- Experience with mechanical and electrical reliability tests of Automotive, Industrial products- Experience designing reliability methodologies ...

About Amazon HealthAmazon Health’s mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we (Health Storefront and Shared Tech) are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.Job summaryWe are seeking an exceptional Senior Applied Scientist to join a team of experts in the field of machine learning, and work together to break new ground in the world of healthcare to make personalized and empathetic care accessible, convenient, and cost-effective. We leverage and train state-of-the-art large-language-models (LLMs) and develop entirely new experiences to help customers find the right products and services to address their health needs. We work on machine learning problems for intent detection, dialogue systems, and information retrieval. You will work in a highly collaborative environment where you can pursue both near-term productization opportunities to make immediate, meaningful customer impacts while pursuing ambitious, long-term research. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. You will get the opportunity to pursue work that makes people's lives better and pushes the envelop of science.#everydaybetterKey job responsibilities- Translate product and CX requirements into science metrics and rigorous testing methodologies.- Invent and develop scalable methodologies to evaluate LLM outputs against metrics and guardrails.- Design and implement the best-in-class semantic retrieval system by creating high-quality knowledge base and optimizing embedding models and similarity measures.- Conduct tuning, training, and optimization of LLMs to achieve a compelling CX while reducing operational cost to be scalable.A day in the lifeIn a fast-paced innovation environment, you work closely with product, UX, and business teams to understand customer's challenges. You translate product and business requirements into science problems. You dive deep into challenging science problems, enabling entirely new ML and LLM-driven customer experiences. You identify hypothesis and conduct rapid prototyping to learn quickly. You develop and deploy models at scale to pursue productizations. You mentor junior science team members and help influence our org in scientific best practices.About the teamWe are the Health AI team at HST (Health Store and Technology). The team consists of exceptional ML Scientists with diverse background in healthcare, robotics, customer analytics, and communication. We are committed to building and deploying the most advanced scientific capabilities and solutions for the products and services at Amazon Health.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 6+ years of building machine learning models for business application experience- Knowledge of programming languages such as C/C++, Python, Java or Perl ...

The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire a Quantum Research Scientist in the Test and Measurement group. You will join a multi-disciplinary team of theoretical and experimental physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing. You should have a deep and broad knowledge of experimental measurement techniques. Candidates with a track record of original scientific contributions will be preferred. We are looking for candidates with strong engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. Working effectively within a team environment is essential. As a research scientist you will be expected to work on new ideas and stay abreast of the field of experimental quantum computation.Key job responsibilitiesIn this role, you will drive improvements in qubit performance by characterizing the impact of environmental and material noise on qubit dynamics. This will require designing experiments to assess the role of specific noise sources, ensuring the collection of statistically significant data through automation, analyzing the results, and preparing clear summaries for the team. Finally, you will work with hardware engineers, material scientists, and circuit designers to implement changes which mitigate the impact of the most significant noise sources.About the teamAbout AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. This team is part of AWS Utility Computing: Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of quantitative field research experience- Broad experience in experimental measurement techniques with ability to learn new topics as needed- Excellent skills in problem solving, organization, and communication- Thrives in a collaborative environment with a diverse group while contributing to an inclusive culture- 5+ year’s experience in characterizing superconducting microwave/RF circuits ...

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.Amazon Robotics is looking for a bright and motivated research scientist co-op who is excited to work on complex, real-world challenges. We are interested in someone who has experience applying human factors and ergonomics standards, method, and analysis tools. The ideal candidate would be familiar with the ISO 11228 standard (Ergonomics - Manual Handling) and have experience conducting ergonomic evaluations with common tools, such as the NIOSH lifting equation, ACGIH threshold limit values, Recommended Cumulative Rest Allowance (RCRA) method, and the Liberty Mutual Manual Material Handling tables. We are also seeking candidates who have experience with digital human modeling software, such as Siemens Jack or Process Simulate, wearable/optical motion capture systems, and EMG analysis. Additionally, we are seeking candidates who have experience conducting ergonomics/biomechanics research and publishing peer reviewed articles in reputable journals and/or conference proceedings. The ideal candidate would have experience coding in MATLAB and/or Python, and be able to utilize data science and machine learning to develop novel ergonomic assessment methodologies.Key job responsibilitiesThe role will entail conducting ergonomics research to ensure the safety of Amazon associates, operators, and maintainers. This research will help shape the HFE team’s methodology, allowing us to better guide product design decisions that limit injury risk. You will help to identify fundamental questions pertaining to human capabilities and tolerances in a variety of work environments and provide human factors/ergonomics input to teams across Amazon Robotics, such as Hardware Engineering, Product and Program Management, Safety, Systems Engineering, and Operations. You will work closely with our ergonomics research colleagues in the Workplace Health and Safety (WHS) organization to develop and refine a unified toolkit of ergonomic analysis methodologies. Your responsibilities may include: * Conducting novel HFE research to improve the speed and accuracy of our assessment methodologies. * Staying up-to-date on the latest in ergonomics industry research, and recommending new approaches/technologies that the team should consider adopting. * Contributing to comprehensive assessments of workstations and processes covering biomechanical, physiological, and psychophysical demands. * Continuously striving to gain in-depth knowledge of your profession, as well as branch out to learn about intersecting fields, such as user experience, industrial design, robotics and mechatronics.* Supporting the development of internal guidelines, process documents, and standards to broaden our impact and improve the clarity of our methods for the hardware design organization. * Occasionally traveling to various sites to conduct research or support product assessments (e.g., collect biomechanical/physiological data and collect associate feedback)About the teamAt Amazon Robotics, we create high tech products that help associates to work faster, safer, and with greater satisfaction. In order to best serve our associate customers, we need to incorporate ergonomic considerations into the design cycle for associate facing hardware development projects. The Human Factors and Ergonomics (HFE) team conducts iterative evaluations of every new Amazon Robotics product, in order to minimize injury potential and enhance the overall associate experience. Utilizing advanced technologies and cutting-edge research, we develop and institutionalize state-of-the-art ergonomic assessment tools that accurately and efficiently predict impacts to associates working in AR fulfillment centers.BASIC QUALIFICATIONS- Currently working towards PhD program in Human Factors, Ergonomics, Biomedical Engineering, Industrial Engineering, Mechanical Engineering, Life Sciences (e.g. Biology, Physiology, Kinesiology, Biomechanics), or equivalent- Ability to work full-time (40 hours per week) for the whole duration of the internship/co-op- At least 1 year of relevant academic research or industry experience in human factors, ergonomics, and/or biomechanics- Experience conducting human factors/ergonomics assessments, using tools such as: NIOSH Lifting Equation, ACGIH tables, Liberty Mutual MMH Tables, RCRA, OCRA, 3DSSPP, Energy Expenditure Prediction Program (EEPP), and digital human modeling software (e.g., Siemens Jack/Process Simulate)- Experience conducting laboratory studies in human performance using motion capture technology, electromyography, metabolic carts, etc. ...

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos).If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.Come work on the Amazon Prime Air Team!We are seeking a highly skilled Navigation Scientist to help develop advanced algorithms and software for our Prime Air delivery drone program. In this role, you will conduct comprehensive navigation analysis to support cross-functional decision-making, define system architecture and requirements, contribute to the development of flight algorithms, and actively identify innovative technological opportunities that will drive significant enhancements to meet our customers' evolving demands.Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience implementing algorithms using both toolkits and self-developed code ...

About Amazon HealthAmazon Health’s mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we (Health Storefront and Shared Tech) are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.Job summaryWe are seeking an exceptional Senior Applied Scientist to join a team of experts in the field of machine learning, and work together to break new ground in the world of healthcare to make personalized and empathetic care accessible, convenient, and cost-effective. We leverage and train state-of-the-art large-language-models (LLMs) and develop entirely new experiences to help customers find the right products and services to address their health needs. We work on machine learning problems for intent detection, dialogue systems, and information retrieval. You will work in a highly collaborative environment where you can pursue both near-term productization opportunities to make immediate, meaningful customer impacts while pursuing ambitious, long-term research. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. You will get the opportunity to pursue work that makes people's lives better and pushes the envelop of science.#everydaybetterKey job responsibilities- Translate product and CX requirements into science metrics and rigorous testing methodologies.- Invent and develop scalable methodologies to evaluate LLM outputs against metrics and guardrails.- Design and implement the best-in-class semantic retrieval system by creating high-quality knowledge base and optimizing embedding models and similarity measures.- Conduct tuning, training, and optimization of LLMs to achieve a compelling CX while reducing operational cost to be scalable.A day in the lifeIn a fast-paced innovation environment, you work closely with product, UX, and business teams to understand customer's challenges. You translate product and business requirements into science problems. You dive deep into challenging science problems, enabling entirely new ML and LLM-driven customer experiences. You identify hypothesis and conduct rapid prototyping to learn quickly. You develop and deploy models at scale to pursue productizations. You mentor junior science team members and help influence our org in scientific best practices.About the teamWe are the Health AI team at HST (Health Store and Technology). The team consists of exceptional ML Scientists with diverse background in healthcare, robotics, customer analytics, and communication. We are committed to building and deploying the most advanced scientific capabilities and solutions for the products and services at Amazon Health.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Help re-invent how millions of people watch TV! Fire TV remains the #1 best-selling streaming media player in the US. Our goal is to be the global leader in delivering entertainment inside and outside the home, with the broadest selection of content, devices and experiences for customers.Our science team works at the intersection of Recommender Systems, Information Retrieval, Machine Learning and Natural Language Understanding. We leverage techniques from all these fields to create novel algorithms that allow our customers to engage with the right content at the right time. Our work directly contributes to making our devices delightful to use and indispensable for the household.As a Research Scientist, you will be responsible for the natural language understanding models for Fire TV use cases. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology. Key job responsibilities- Ensure data quality throughout all stages of acquisition and processing, including areas such as data sourcing / collection, ground truth generation, normalization, transformation, cross-lingual alignment / mapping, etc. - Clean, analyze and select data to achieve goals - Build and release models that elevate the customer experience and track impact over time - Design and run experiments, evaluate the impact of your optimizations, and communicate the results to various business stakeholders- Collaborate with colleagues from science, engineering and business backgrounds - Present proposals and results in a clear manner backed by data and coupled with actionable conclusions - Work with engineers to develop efficient data querying infrastructure for both offline and online use cases- Be a member of the Amazon-wide Machine Learning community, participating in internal and external meet ups, hackathons, and conferencesBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of quantitative field research experience- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products- Experience analyzing both experimental and observational data sets- Experience with any programming language such as Python, Java, C++- Experience in machine learning, statistics, and deep learning ...

Amazon is looking for talented Postdoctoral Scientists to join our Forward Looking Initiatives & Technology Enablers (FLITE) Team for a one-year, full-time research position. The Forward Looking Initiatives & Technology Enablers (FLITE) Team. FLITE’s charter is to enable Amazon Robotics Manipulation Organization to innovate on advanced technology development. The research work for this position will explore generalization of imitation learning based policies on novel hardware platforms. This will include exploring alternative representations and foundation models. The candidate will prototype algorithms in simulation and then deploy promising solutions to real and novel hardware.Key job responsibilities• Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.• Publish your innovation in top-tier academic venues and hone your presentation skills.• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. We are open to hiring candidates to work out of one of the following locations:Cambridge, MA, USA | North Reading, MA, USABASIC QUALIFICATIONS• PhD in a relevant field, received within 2 years of starting the program• Proven publication record in Manipulation and Gasp Learning• Publications in related topics in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Reinforcement Learning or other related technical fields• Experience in data science and quantitative research• Proficiency in technologies relevant to the subfield ...

As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. we blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.AWS Industry Products (IP) is a new AWS engineering organization chartered to build new AWS products by applying Amazon’s innovation mechanisms along with AWS digital technologies to transform the world, industry by industry. We dive deep with leaders and innovators to solve the problems which block their industries, enabling them to capitalize on new digital business models. Simply put, our goal is to use the skill and scale of AWS to make the benefits of a connected world achievable for all businesses. We are looking for an Applied Scientist who are passionate about transforming industries through AI. This is a unique opportunity to not only listen to industry customers but also to develop AI and generative AI expertise in multiple core industries. You will join a team of scientists, product managers and software engineers that builds AI solutions in automotive, manufacturing, healthcare, sustainability/clean energy, and supply chain/operations domains. Leveraging and advancing generative AI technology will be a big part of your charter as we seek to apply the latest advancements in generative AI to industry-specific problems.Key job responsibilitiesUsing your in-depth expertise in machine learning and generative AI, you will deliver reusable science components and services that differentiate our industry products and solve customer problems. You will be the voice of scientific rigor, delivery, and innovation as you work with our segment teams on AI-driven product differentiators. You will conduct and advance research in AI and generative AI within and outside Amazon.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience building machine learning models or developing algorithms for business application ...

Are you passionate about applying formal verification, program analysis, constraint-solving, and theorem proving to real world problems? Do you want to create products that help customers? If so, then we have an exciting opportunity for you. In this role, you will interact with internal teams and external customers to understand their requirements. You will apply your knowledge to propose innovative 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.Key job responsibilities- Interact with various teams to develop an understanding of their security and safety requirements.- Apply the acquired knowledge to build tools find problems, or show the absence of security/safety problems.- Implement these tools through the use of SAT, SMT, BDDs, and various concepts from programming languages, theorem proving, formal verification and constraint solving.- Perform analysis of the customer systems using tools developed in-house or externally provided- Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies.About the teamAWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- M.S. or Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field.- At least 2 years of industrial/academic experience in formal verification, program analysis, constraint-solving, and theorem proving. ...

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve extreme-scale real world delivery challenges, and provide visible benefit to end-users, this is your opportunity. Come work on the Amazon Prime Air team! We're looking for an outstanding Applied Scientist with either some background or strong interest in building simulation tools and algorithms for orchestration of a fleet of autonomous delivery drones. Managing a large number of concurrent autonomous drone flights that share airspace with other autonomous or manned aircrafts is a challenging problem. Be part of the team building simulation tools and algorithms to solve this at scale.This role will contribute to a portfolio of simulation tools managing concurrent airspace traffic for aviation systems. The ideal candidate is comfortable with a degree of risk taking and ambiguity and able to build consensus on the critical path. If you enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before, Prime Air could be the place for you. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver and directly impact Amazon’s customer’s worldwide.About the teamPrime air has ambitious goals to offer its service to an increasing number of customers and enabling a large number of concurrent flights is central to achieving this. To this end, the air traffic management team is building algorithms, tools and services for orchestration of prime air's autonomous drone fleet. BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the extreme. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of quantitative field research experience- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products- Experience analyzing both experimental and observational data sets ...

Futures Design is the advanced concept design and incubation team within Amazon’s Device and Services Design Group (DDG). We are responsible for exploring and defining think (very) big opportunities globally and locally — so that we can better understand how new products and services might enrich the lives of our customers and so that product teams and leaders can align on where we're going and why we're going there. We focus on a 3–10+ year time frame, with the runway to invent and design category-defining products and transformational customer experiences. Working with Amazon business and technology partners, we use research, design, and prototyping to guide early product development, bring greater clarity to engineering goals, and develop a UX-grounded point of view.Our team is dedicated to unlocking new foundational capabilities in generative AI, guided by the thesis that embedding understanding through human factors, cognitive science, and socioeconomics is crucial to building AI systems that align with human needs. We place particular emphasis on the capabilities of simulacra through agentic systems and experiential/evolutionary learning, which we believe are vital to accelerating the development of AI as an aligned partner. Joining our team will give you the chance to drive key decisions that will impact the lives of millions of Amazon customers. Key job responsibilitiesYou will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).A day in the lifeWe're looking for a Principal Applied Scientist to join the growing DDG Futures Design team.You thrive in ambiguity and paradigm shifts – remaking assumptions of how customers engage, devices operate, and builders create. You apply deep expertise that spans design, technology, and product, grounding state-of-the-art emerging technologies through storytelling and a maker's mindset. You learn and adapt technology trends to enduring customer problems through customer empathy, code, and iterative experimentation.You will wear multiple hats to quickly assimilate customer problems, convert them to hypotheses, and test them using efficient technologies and design methods to build stakeholder buy-in. You’ll help your peers unlock challenging scenarios and mature the design studio’s ability to deliver design at scale across a breadth of devices and interaction modalities. You will work around limitations and push capabilities through your work. Your curiosity will inspire those around you and facilitate team growth, while your hands-on, collaborative nature will build trust with your peers and studio partners.BASIC QUALIFICATIONS* PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science* 10+ years of combined academic and research experience* Multi-disciplinary expertise with demonstrated application of AI to a human-centered problem space (e.g., human factors or experiential learning)* Functional thought leader, sought after for key tech decisions* Can successfully sell ideas to executive level decision makers* Mentors and trains the research scientist community on complex technical issues* Proven track record of building complex solutions in ambiguous environments* Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers* Experience developing software in traditional programming languages (e.g., Python, C++, Java)* Excellent written and spoken communication skills* Proven record of developing new approaches, algorithms, application areas, etc.* Extensive research expertise in generative AI, computer vision, machine learning, or NLP* Ability to develop machine learning platform strategies and influence the organization adopting new approaches, concepts, and paradigms ...

Amazon is looking for world class Data Scientists (at all levels) to join its AWS AI Labs with expertise in AI-assistants focusing on conversational- retrieval augmented generation (RAG), agent orchestration, multi-modal and multi-lingual chat agents, etc. You will be joining a team of scientists developing robust and scalable machine learning solutions for enterprise conversational assistants. You will interact in a cross-functional capacity with product and engineering leaders, as well as 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 acclaimed engineers and world-class scientists.We are hiring scientists at all levels and at following locations: SEA, NYC and Santa Clara.About the teamAmazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and take actions, securely completing the tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data-driven, efficient, prepared, and productive. As member of Q team, you’ll work on optimizing large language models in an efficient manner and implementing solutions to enhance and build new functionalities into Q assistant. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS- 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

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.Amazon Robotics is seeking Applied Science Interns and Co-ops with a passion for robotic research to work on cutting edge algorithms for robotics. Our team works on challenging and high-impact projects within robotics. Examples of projects include allocating resources to complete a million orders a day, coordinating the motion of thousands of robots, autonomous navigation in warehouses, identifying objects and damage, and learning how to grasp all the products Amazon sells. As an Applied Science Intern/Co-op at Amazon Robotics, you will be working on one or more of our robotic technologies such as autonomous mobile robots, robot manipulators, and computer vision identification technologies. The intern/co-op project(s) and the internship/co-op location are determined by the team the student will be working on.Please note that by applying to this role you would be considered for Applied Scientist summer intern, spring co-op, and fall co-op roles on various Amazon Robotics teams. These teams work on robotics research within areas such as computer vision, machine learning, robotic manipulation, navigation, path planning, perception, optimization and more. Learn more about Amazon Robotics: https://amazon.jobs/en/teams/amazon-roboticsBASIC QUALIFICATIONS- Currently enrolled in a Master's or PhD program in Computer Science, Robotics, Engineering, Machine Learning, Operations Research, Mathematics, or a related quantitative field- Degree program must be based in the United States with an expected graduation of December 2025 or later- Must be eligible for and available for full-time (40 hours per week) internship in person based out of the assigned office location for the whole duration of the internship/co-op- Relevant academic research or industry experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related- Experience programming in Java, C++, Python, or related ...

The Automated Reasoning Group is looking for an Applied Scientist to formally verify high-performance cryptographic algorithms as well as develop the scalable automated reasoning tools required to do so.You will be part of a larger organization that develops formal software analysis tools from model checkers to deductive theorem provers and applies them to software at all levels of abstraction from assembly through very high-level languages like Dafny. You will work collaboratively to deliver results in the form of verified code and tools to accelerate code verification for our customer teams.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/Key job responsibilities- Verify high-performance algorithm kernels for mathematical and cryptographic operations at various levels of abstraction, from Arm and x86 native code to higher-level code in C and Rust.- Develop tools through the use of theorem proving, SAT, SMT, and various concepts from programming languages to automate reasoning at scale about such code.- Design such tools to be usable by developers so that they can verify their own code.- Work with customers to deliver implementations and proofs to meet product schedules.A day in the lifeWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.About the teamYou will be working with a team of formal verification specialists spanning recently hired PhDs to industry veterans. Our vision is to provide solutions that are proven correct without compromising performance.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language ...

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner. We are looking for an enthusiastic, customer obsessed, Sr. Applied Scientist with good analytical skills to help manage projects and operations, implement scheduling solutions, improve metrics, and develop scalable processes and tools. The primary role of an Operations Research Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how the final phase of delivery is done at Amazon. Ideal candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research, and the ability to use data and research to make changes. This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment.Responsibilities may include: - Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations - Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans - Managing multiple projects simultaneously - Working with technology teams and product managers to develop new tools and systems to support the growth of the business - Communicating with and supporting various internal stakeholders and external audiencesBASIC QUALIFICATIONS- 10+ years of building machine learning models or developing algorithms for business application experience- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience- Knowledge of programming languages such as C/C++, Python, Java or Perl- Experience with neural deep learning methods and machine learning ...