San Diego

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud?Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems?Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a talented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day.Key job responsibilitiesUse machine learning and statistical techniques to create scalable risk management systemsLearning and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trendsDesign, development and evaluation of highly innovative models for risk managementWorking closely with software engineering teams to drive real-time model implementations and new feature creationsWorking closely with operations staff to optimize risk management operations,Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationTracking general business activity and providing clear, compelling management reporting on a regular basisResearch and implement novel machine learning and statistical approachesBASIC QUALIFICATIONS- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud?Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems?Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a talented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day.Key job responsibilitiesUse machine learning and statistical techniques to create scalable risk management systemsLearning and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trendsDesign, development and evaluation of highly innovative models for risk managementWorking closely with software engineering teams to drive real-time model implementations and new feature creationsWorking closely with operations staff to optimize risk management operations,Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationTracking general business activity and providing clear, compelling management reporting on a regular basisResearch and implement novel machine learning and statistical approachesBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building models for business application experience- 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 ...

Amazon.com’s Buyer Risk Prevention's (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for an Applied Scientist for the Buyer Abuse team, whose mission is to combine advanced analytics with investigator insight to create mechanisms to proactively and reactively reduce the impact of abuse across Amazon. Key job responsibilitiesAs an Applied Scientist, you will be responsible for modeling complex problems, discovering insights, and building cutting edge risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and reduce monetary losses and improve customer trust. You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools, data sources, and ML techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Responsibilities: - Invent, implement, and deploy state of the art machine learning algorithms and systems - Build prototypes and explore conceptually new solutions - Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams - Take ownership of how ML solutions impact Amazon resources and Customer experience - Develop efficient data querying infrastructure for both offline and online use cases - Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes - Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use. - Research and implement novel machine learning and statistical approaches - Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentationsPlease visit https://www.amazon.science for more informationBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 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 ...

Are you passionate about automation, optimization, knowledge extraction, and artificial intelligence through the use of Machine Learning, Computer Vision, Optimization, Natural Language Processing, and Recommender systems? We have a team of experienced scientists with a critical business mission making revolutionary leaps forward in these spaces. On this team you will work with large multimodal datasets to build generative and discriminative models for optimizing large-scale manufacturing and fulfillment processes, analyze and model customer reading behavior to measure engagement and detect risks, and build AI-based systems for helping indie authors make their businesses successful. This will involve combining methods from several science domains with domain knowledge across multiple businesses into sophisticated ML workflows. Our team has mature areas and green-field opportunities. We offer scientific autonomy, value end-to-end ownership, and have a strong customer-focused culture.As an Applied Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with large distributed systems of data and providing technical leadership to the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation. Applied Scientists are specialists with the deep expertise to drive the scientific vision for our products. They are externally aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services. Come join us as we revolutionize the book industry and deliver an amazing experience to our Kindle authors and readers.Key job responsibilitiesGreat candidates for this position will be experts in the areas of data science, machine learning, computer vision, optimization, NLP, or statistics. You will have hands-on experience with multiple science initiatives as well as be able to balance technical leadership with strong business judgment to make the right decisions about technology, models and methodological choices. You will strive for simplicity, and demonstrate significant creativity and high judgment.About the teamKindle Direct Publishing (KDP) and Print On Demand (POD) have empowered a new wave of self-motivated creators, tearing down barriers that once blocked writers from reaching readers. Our team builds rich applications and systems that empower anyone to realize their dream of becoming a published author. We strive to provide an experience that is powerful, yet simple to use and accessible to all. We focus on building systems that enable authors to design high quality digital and print books, reaching readers all around the world. This role will help ensure we maintain the trust of both our Authors and Readers by ensuring all books published to Amazon meet our standards.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 ...

The Private Brands team is looking for an Applied Scientist to join the team in building science solutions at scale. Our team applies Optimization, Machine Learning, Statistics, Causal Inference, and Econometrics/Economics to derive actionable insights. We are an interdisciplinary team of Scientists, Engineers, and Economists and primary focus on building optimization and machine learning solutions in supply chain domain with specific focus on Amazon private brand products.Key job responsibilitiesYou 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 optimization solutions and ML models.This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and economists. As a 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.We are particularly interested in candidates with experience in predictive and machine learning models and working with distributed systems. Academic and/or practical background in Machine Learning are particularly relevant for this position. Familiarity and experience in applying Operations Research techniques to supply chain problems is a plus.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building models for business application experience- Experience in building machine learning models for business application- Experience programming in Java, C++, Python or related language- Experience implementing algorithms using both toolkits and self-developed code- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Project Kuiper is Amazon’s initiative to launch a constellation of Low Earth Orbit communications satellites that will provide low-latency, high-speed broadband connectivity to underserved communities around the earth.The Kuiper Engineering team is seeking a detailed oriented, results-driven, customer-centric ASIC New Product Planner with experience in pre-production development and manufacture of semiconductor integrated circuit (IC) chips for digital and analog ASICs and SOCs. ASICs are the foundation of Kuiper’s innovative aerospace and terrestrial networking infrastructure equipment and data services. The ASIC new product planner is a key design engineering team member who is responsible to manage all aspects of Kuiper’s ASIC engineering sample work-order definition, execution and downstream logistical supply fulfilment from initial design release, through qualification into mass production transfer that accelerates time-to-market velocity on behalf of making life improving impact to customers around the globe.The ideal candidate possesses deep knowledge of all phases of the end-to-end semiconductor IC product lifecycle, development methodologies and manufacturing flows/dependencies/cycle-times from post-GDSII tape-out through wafer foundry, package substrate fabrication, into OSAT contract manufacturing applying module technologies such as FCBGAs, CSP, WLP, QNFs, SIPs. They combine a hands-on background of sample supply/demand operations planning with demonstrated experience executing technical interdependencies of NPI engineering builds including DFM rule checks, in-line process monitors yield data engineering review and material lot release, configuration management lot controls, assembly build instructions, and wafer probe/final class test route and binning. The successful candidate will be able to lead aligning both external vendor engineering and internal engineering teams in complex build and delivery logistics plans for on-time deployments, identify and mitigate execution schedule risks, ensure quality specification adherence, and provide status reporting and project health metrics. To be successful you are proactive, owner who is comfortable operating independently. You are passionate about semiconductors, NPI, and Kuiper’s prospective customer and societal impact. You are excited by solving difficult challenges and contributing to launching a space-craft and user terminal network that meet performance, quality, and availability objectives.Key job responsibilitiesIn this role you will:• Collect, consolidate, and priority allocate internal silicon engineering design and validation customer demand requirements to facilitate bring-up, DVT, qualification, characterization and down-stream PCBA factory integration.• Convert demand requirements into supply build plans applying line-capacity, multi-tiered yield loss, and test time constraints.• Communicate the build plan signal to 3rd party factory vendors, oversee and drive build plan execution, and ensure on-time delivery to fulfill customer demand and stock both semi-finished and finished goods inventory levels to service level agreement target policy. • Prepare product engineering build plans / assembly instruction bill of material documentation set-ups in a PLM Configuration Management. Will include defining and maintaining a product SKU naming convention, rev control and part/label schema.• Coordinate and drive transportation logistics and export trade compliance across a multi-node international semiconductor supply chain. • Drive wafer lot plans, starts, package and test lot plans and work orders, package substrate and EE parts raw materials orders • Will plan and raise purchase orders, will direct deployment of chip supply to customers, will coordinate all supply operations execution logistics, and • Will maintain end-to-end Wafer Fab TO Assembly/Test Lot traceability records for tracking as-built and as-deployed sample supply chain of custody.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.A day in the lifeHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has 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. 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.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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.Innovation is part of our DNA! Our goal is to be Earth's most customer-centric company, and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in space based systems design and wireless systems.About the teamThe position works in a fast-paced, dynamic start-up environment, collaborating closely with a versatile team of specialized IC industry product design engineers spanning wafer fabrication technology process, package substrates, chip module assembly, ATE test, and qualification disciplines to ensure pre-production technical manufacturing flows and sample build plans are defined and executed on schedule. They coordinate deliverable linkages across teams including NRE tooling, wafer start, to die probe test to down-stream OSAT build processing across configuration, routing instruction, cycle time, capacity and yield constraints ensuring sample supply feeds engineering validation teams with no limiters to sample availability health. As such, the Sr. ASIC new product planner will document and oversee internal and external vendor teams, set manufacturing engineering deadlines, make task ownership assignments, will drive core-team coordination meetings, will identify and mitigate execution risks, will coordinate multiple work-stream input/out dependencies, will prepare product schedules focused on manufacturing flows and timelines, drive progress toward target commit schedules, and prepare status reports for engineering executive leadership.BASIC QUALIFICATIONS- 5+ years of customer-facing product development and product management, including defining, launching, and optimizing product and services experience ...

Amazon.com’s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. BRP organization is looking for a Business Analyst for its In Region support team. The team is being grown to provide insights and support for BRP in our emerging marketplaces and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors and bad debt, improve customer experience and predict & recommend the optimizations for future state of BRP buyer abuse in each country. Key job responsibilitiesAs a Business Analyst, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Responsibilities: - Use analytics and data mining techniques to solve complex problems and drive business decisions. - Employ the appropriate tools, methodologies to discover patterns of risks, abuse and help reduce bad debt - Design experiments, test hypotheses, and build actionable models to optimize BRP in a specific country - Solve analytical problems, and effectively communicate methodologies and results - Build analyses for product launches - Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies - Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus areaBASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders ...

As part of the Seller External Relations Strategy & Creative team, we use our creative and storytelling expertise, as well as knowledge gained from direct engagement with sellers and our audience, to tell the right stories in the most impactful ways. We leverage the voice of the seller to generate compelling storytelling and narratives at scale for influential-targeted paid, earned, and owned channels. We build from a combination of: 1) intentional seller story selection; 2) rich visual media; 3) data driven narratives; and 4) other creative visual content. We tell our Small Business and seller stories across an omni-channel landscape to achieve our goals. The Editorial team is looking for a seasoned journalist with a keen eye for storytelling and the ability to handle multiple, high impact assignments across various formats on deadline. You will be responsible for delivering relevant, accurate and engaging content to our audience, often with a data driven viewpoint. As a Business Content Journalist, you will play a pivotal role in driving our messaging strategy across a range of content formats. You will collaborate closely with cross-functional teams including Creative, Product, Legal, Public Relations, Public Policy and consumer business teams to create impactful and persuasive copy that captures the attention of our audience and resonates with them. Your creativity, attention to detail, and ability to work autonomously on editorial deadlines allow you to deliver results while also thinking ahead and pitching the next big story idea. There may be potential for this role to be remote. Key job responsibilitiesResearch and investigate news stories to gather relevant information from reliable sources.Conduct interviews with key individuals to gather first-hand information.Write well-crafted, concise, and compelling articles, features, and reports.Stay up to date with current Amazon events, news trends, and emerging topics to pitch and develop story ideas.Verify facts, cross-check information, and ensure accuracy in reporting.Adhere to journalistic principles, ethics, and editorial guidelines in all aspects of newsreporting.About the teamThe Seller External Relations (SER) team ensures that Amazon is viewed globally by external audiences as a valuable, accessible, partner who respects and celebrates the success of its sellers. We create content and tools that demonstrate and celebrate the positive experiences of sellers on Amazon to other sellers, the general public, and influentials (e.g., media and policymakers)BASIC QUALIFICATIONSBachelor's degree in Journalism, Communications, English or a related field. 8+ years of experience as a journalist and a proven track record of reporting across different beats/topics. News judgment and the ability to identify a compelling story. Proficiency in adhering to journalistic ethics and AP guidelines. Ability to work under pressure, meet deadlines and handle multiple assignments simultaneously.Attention to detail and accuracy in reporting. Demonstrated portfolio of writing compelling and impactful articles across various channels and formats. ...

Mechatronics Sustainable Packaging is looking for a Controls Integration Engineer to be part of our global team to deliver the next generation of world-class fulfillment systems through the use of advanced technology. Successful candidates are natural self-starters who have prior engineering experience in the integrated automation project life cycle, including development, design, implementation, enhancement, and support.The Controls Integration Engineer will be part of a full product life cycle and responsible for successful delivery of units for development and operations. You will serve as a liaison between Fulfillment Center Operations (our customer), product design and development engineers.This role will require the ability to build relationships across a cross functional team capturing and synthesizing the voice of the customer. Their primary goal is to own the field activities integrating, deploying, and troubleshooting solutions for new mechatronics systems and packaging technology; act as a liaison for internal and external resources and be on call as needed to support downtime events. This position will also provide proper training and support to facility controls technicians on system troubleshooting and preventive maintenance to focus on the system performance improvement and optimization. In parallel with the Deployment Teams you will support performance ramp of the technology deployment at scale.You are able to take the lead on the implementation and delivery of complex system designs and MSP technology in ambiguous and complex problem spaces. You integrate systems for safety, security, stability, and efficiency. You participate in the full system development life cycle, working within broadly defined parameters, including test plan execution and solution quality needs.Key job responsibilities* Write control specification documents for deployment of technology products.* Integrate control system products and partner with suppliers and customers.* Commissioning: working with all the stakeholders to optimize the workcell to predefined success criteria to ensure smooth handover of technology products.* PLC troubleshoot and diagnostic.* Own controls/software commissioning tasks for technology products.* Design and develop commissioning tools and customer-facing components to facilitate scalable business growth.* Lead initiatives to enhance engineering, testing, and operational best practices within the team.* Conduct comprehensive analysis and testing of both existing and prospective engineering solutions and components.* Collaborate with cross-functional teams to develop control specifications and training materials.* Lead incident follow-up, root cause analysis, and documentation.* Engage in industrial engineering design for both existing and new material handling systems across our global network.* Ensure strict adherence to all Health & Safety (H&S) protocols and actively contribute to the identification and mitigation of potential H&S risks.* Foster effective relationships by partnering with various stakeholders.A day in the life* Write control specification documents for deployment of technology products.* Integrate control system products and partner with suppliers and customers.* Commissioning: working with all the stakeholders to optimize the workcell to predefined success criteria to ensure smooth handover of technology products.* PLC troubleshoot and diagnostic.* Own controls/software commissioning tasks for technology products.* Design and develop commissioning tools and customer-facing components to facilitate scalable business growth.* Lead initiatives to enhance engineering, testing, and operational best practices within the team.* Conduct comprehensive analysis and testing of both existing and prospective engineering solutions and components.* Collaborate with cross-functional teams to develop control specifications and training materials.* Lead incident follow-up, root cause analysis, and documentation.* Engage in industrial engineering design for both existing and new material handling systems across our global network.* Ensure strict adherence to all Health & Safety (H&S) protocols and actively contribute to the identification and mitigation of potential H&S risks.* Foster effective relationships by partnering with various stakeholders.About the teamThis team stays close to our customers and strives to always build and design our tech with them in mind with a focus on end-to-end user experience. We also pride ourselves on having an open and ongoing dialogue with our stakeholders and customers so we can build trust and innovate on their behalf. Someone who joins this team will be engaged with engineers and stakeholders dedicated to supporting Sub Same Day delivery and other businesses; focusing on delivery optimization and emerging business needs with a balance of scrappy vs long term supported solutions.BASIC QUALIFICATIONS- Experience in automating, deploying, and supporting infrastructure- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust- Experience with Linux/Unix ...

Amazon Private Brands is looking for a Data Scientist to join our Private Brand Intelligence (PBI) Sourcing Guidance team. PBI applies Machine Learning, Statistics, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business and develop statistical models and algorithms to drive strategic business decisions and improve operations. About the teamWe are an interdisciplinary team of Scientists, Economists, and Engineers, incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.About the roleYou will work with business leaders, PMs, scientists, and economists to deep dive existing business problems, translate them into business and functional requirements and design concrete deliverables. These deliverables can include the design, development, testing of new in-house statistical models/ML models/Optimization engines, etc. and/or partnering with our sister teams to develop an improved version of an existing model/system. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems and enable measurable actions on the consumer economy. We are particularly interested in candidates with experience applying stat, ML and OR concepts to business problems. To learn more about Amazon Science, please visit https://www.amazon.science (https://www.amazon.science/).BASIC QUALIFICATIONS- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience- 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 ...

Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world.As a DSP Modem Embedded Software Design Engineer, you will participate in all phases of DSP physical layer software development from requirements through implementation and test to operations. Our team tackles all of the layer 1 tasks on the satellite system. Key Responsibilities: - Develop embedded software in assembly, C, and C++ in a real-time operating system environment for broadband satellite modem systems. - Write real-time critical software to augment and interact with hardware blocks such as FFT, correlator, codec, DPD, etc. - Write device drivers and system applications for satellite broadband link management. - Work closely with modem and hardware teams to support board bring-up, integration, and testing.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.BASIC QUALIFICATIONS - MS degree in DSP, signal processing or related field OR Bachelor’s Degree with 2+ Years of DSP Modem experience or equivalent experience. - 5 + years of non-internship professional software development experience including code development methodologies, debugging, version control, and code maintenance. - 5+ years of experience with DSP modem development and test. - 3+ years of experience with wireless communications systems such as 3/4/5G, WIFI, or other OFDM systems. - 3+ years of experience with functional DSP modem blocks such as FEC, FFTs, filters, synchronization, digital pre-distortion, multiple access, equalization, AGC, ACM, etc. ...

Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband internet connectivity to un-served and under-served communities around the world. In this role, you will be bringing that vision to life by architecting, developing and testing the low level communication systems payload software and Firmware that provides the radio link connectivity between the satellites to customer-terminals.Key job responsibilitiesThe Role: As an Embedded SW Engineer, you will collaborate with internal cross-functional teams to deliver software solutions for variety of customer products. You will design, implement, and verify software deliverables and utilize automated testing and delivery frameworks to ensure seamless interfacing to all customers. You must be responsive, flexible, and able to succeed within an open collaborative peer environment.In this role you will: - Own unique software functions through design, implementation (in Python, C++, C# or other), test, and integration in a Linux or real-time operating system (RTOS) environment. - Write software to interact with devices/electronics using I2C, I3C, SPI, RS-422, RS-485, Ethernet, etc. communications. - Follow best practices in high reliability software development to ensure high levels of reliability and availability. - Work with code delivery pipelines and automated build environments to provide seamless delivery & integration environment for customers. - Work with cross-disciplinary staff to develop, test, and optimize HW/SW calibration algorithms to compensate for RF impairments.- Validate digital beam-forming implementations, algorithms and architectures with simulation model, FPGA prototype and silicon.- Develop detailed test plans and test procedures for validation and characterization of RF Wireless SOC performance.- Debug issues in the lab and optimize conducted and/or OTA throughput performances by collaboratively working with cross functional teams.- Bring up and test digital functionality using embedded firmware.- Engage with both internal and external customers to drive customer centric FW/SW release procedures with testing and validation. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. A day in the lifeCome work at Amazon! We need people who want to join an ambitious program that continues to push the state of the art in space-based systems design. Come help us solve the difficult and rewarding development challenges in building highly reliable, power efficient and low-cost satellite avionics and communication systems payload!About the teamOur team tackles many critical satellite payload functions including payload power management, hardware interfaces, command & telemetry, operational state management, thermal management, resiliency and redundancy, hardware and software integration. We are looking for an outstanding software engineer to participate in all phases of software development from requirements through implementation and test to operations.BASIC QUALIFICATIONS- Experience programming with at least one software programming language- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- 4+ years of non-internship professional software development experience- Experience in wireless system simulation, design and architecture, system integration, RF system analysis- Basic knowledge of Communication Systems, modems and RF SOCs ...

The Jr. Applied Scientist role is a unique employment opportunity for students seeking to gain on-the-job applied science and machine learning experience and receive excellent mentoring while completing their education. Jr. Applied Scientists are immersed in an Amazon team and work on exciting, meaningful projects that impact real Amazon customers. Paired 1:1 with a Amazon Applied Science Mentor, Jr. Applied Scientists receive guidance and support in all aspects of their role: skill development, career advisement, project collaboration, and more! Upon successful completion of your degree and success in the Jr. Applied Scientist role, the opportunity for full-time employment may be available at an Amazon corporate site. The Jr. Applied Scientist role is part of the Jr. Developer Program, a unique internship program in several respects:• We offer work year-round, part-time (16 hrs/week) while in school and full-time (40hrs/week) during summer. Working schedules are flexible and can be re-arranged each quarter to accommodate class schedules. • We offer excellent mentoring. Our full-time applied scientists, data scientists, business intelligence engineers, and software development engineers are willing and able to mentor exceptional student applied scientists, data scientists, SDEs, and BIEs. • Jr. Applied Scientists are given responsibilities and roles that prepare them to enter the workforce after graduation with “real world” applied science and machine learning experience. Jrs. who participate in the Jr. Developer Program routinely acknowledge the valuable learning experience created by the uniform excellence of their teams, mentoring offered by experienced Amazonians, and the challenge of being a principal contributor to science and software products. Key job responsibilities• Amazon applied scientists are specialists with the knowledge to help drive the scientific vision for our products. They are aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services.• As a Jr. Applied Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with distributed systems of data and providing technical partnership to the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation.• This individual will analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of this program. • The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program.BASIC QUALIFICATIONS- Currently enrolled in an accredited college or university Master's degree program.- Majoring in Computer Science, Statistics or a related STEM discipline.- Graduating in June 2027 and beyond. - Ability to work year-round: part-time during the school year and full-time during the summer.- This role is not offered as remote or hybrid and working hours must be conducted in our corporate office in San Diego.- Living within commutable distance to San Diego, CA and able to work in-person. ...

The Jr. Data Scientist role is a unique employment opportunity for students seeking to gain on-the-job data science & analytics experience and receive excellent mentoring while completing their education. Jr. Data Scientists are immersed in an Amazon team and work on exciting, meaningful projects that impact real Amazon customers. Paired 1:1 with a Amazon Jr. Data Science Mentor, Jr. Data Scientists receive guidance and support in all aspects of their role: skill development, career advisement, project collaboration, and more! Upon successful completion of the Jr. Data Scientist Program, the opportunity for full-time employment may be available at an Amazon corporate site. The Jr. Data Scientist role is part of the Jr Developer Program, a unique internship program in several respects: • We offer employment year-round, part-time (16 hrs/week) while in school and full-time (40hrs/week) during summer. Working schedules are flexible and can be re-arranged each quarter to accommodate class schedules. • We offer excellent mentoring. Our full-time data scientists, applied scientists and business intelligence engineers are willing and able to mentor exceptional student data scientists, applied scientists and BIEs. • Jr. Data Scientists are given responsibilities and roles that prepare them to enter the workforce after graduation with “real world” data science and analytics experience. Jrs. who participate in the Jr. Developer Program routinely acknowledge the valuable learning experience created by the uniform excellence of their teams, mentoring offered by experienced Amazonians, and the challenge of being a principal contributor to science and software products. Key job responsibilities- Create pipelines for reports, analyze massive-scale data, leverage knowledge in machine learning, advanced analytics, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to analyze and translate the data into meaningful insights; make sense of the results and be able to explain what it all means to key stakeholders like scientists, product managers, and engineers.- Analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of this program. - Use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program.BASIC QUALIFICATIONS- Currently enrolled in an accredited college or university Master's program. - Majoring in Data Science, Computer Science, or a related STEM discipline.- Graduating in June 2027 and beyond. - Ability to work year-round: part-time during the school year and full-time during the summer.- This role is not offered as remote or hybrid and working hours must be conducted in our corporate office in San Diego.- Living within commutable distance to San Diego, CA. ...

Do you want to join an innovative team of scientists who leverage cutting-edge techniques like reinforcement learning (RL), large language models (LLMs), graph analytics, and machine learning to help Amazon provide the best customer experience by protecting Amazon customers from hackers and bad actors? Do you want to build advanced algorithmic systems that integrate these state-of-the-art techniques to help manage the trust and safety of millions of customers every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating sophisticated algorithms that combine RL, LLMs, graph embeddings, and traditional machine learning methods to solve complex real-world problems? Do you like to innovate, simplify, and push the boundaries of what's possible? If yes, then you may be a great fit to join the Amazon Account Integrity team, where you'll have the opportunity to work at the forefront of AI and machine learning, tackling challenging problems that have a direct impact on the security and trust of Amazon's customers.The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high‐judgement decision‐making where we cannot apply automation.Please visit https://www.amazon.science for more informationBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 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 ...

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by protecting Amazon customers from hackers and bad actors? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer every day? Are you excited by the prospect of analyzing and modeling terabytes of data and create state-of-art algorithms to solve real world problems? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Amazon Account Integrity team.The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high‐judgement decision‐making where we cannot apply automation.Please visit https://www.amazon.science for more informationBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Experience programming in Java, C++, Python or related language- Communication and data presentation skills ...

Amazon Games is seeking a highly effective Machine Learning Scientist to build and integrate new groundbreaking ML, RL and Generative AI (Gen AI) approaches into our game pipelines and customer experiences. In this role, you will collaborate with our game development studios and operations teams to research and develop generative AI-powered tools, pipelines and features across Amazon Games.At Amazon Games, our ambition is to create bold new experiences that foster community in and around our games. Our team of game industry veterans develops AAA multiplayer games and original IPs, with teams in Seattle, Orange County, San Diego, Montreal, and Bucharest. Amazon Games, through its Studios, Publishing, and Prime Gaming divisions collaborating with external partners, aims to develop, publish, and deliver compelling AAA games and content experiences for gamers to discover.Key job responsibilities- Research, implement, and productionize ambitious and complex AI/ML services for Amazon Games.- Collaborate with game team engineers, designers and artists to design, develop, and integrate new generative AI tools into developer workflows.- Proactively identify and solve problems that affect the quality of life for players, operations, and other developers.- Stay up to date with and analyze the latest advancements in generative AI technology, and continuously improve product features where meaningful improvements in cost, scalability, quality, or functionality can be achieved.A day in the life- You thrive in a collaborative environment where your decisions have significant impact and influence.- You are passionate about building game experiences that delight players.- You deliver great workflows, tools, and game innovations to your fellow developers and constantly seek improvement.- You want to be part of something exciting and unique in the gaming ecosystem.About the teamThe Amazon Games Studio AI Research team focuses on artificial intelligence innovation in gaming. Our highly skilled, multi-discipline team works across Machine Learning, Reinforcement Learning, and Generative AI to reimagine game development. We work closely with first-party game developers and partner studios to bring creative visions to life. Our mission is to use AI responsibly to transform gameplay experiences, enrich narratives, and provide creators with practical tools to optimize their production pipelines.BASIC QUALIFICATIONS- Master's degree or above in math/statistics/engineering or other equivalent quantitative discipline- 3+ years of programming in Java, C++, Python or related language experience- 3+ years of building machine learning models or developing algorithms for business application experience- 4+ years of experience in applied research- 1+ year of experience in mentoring junior colleagues and/or contributing as a leader by interviewing, managing a team or similar- 1+ year of experience in Game development (or similar entertainment field) including working with game designers and artists ...

We are seeking an experienced cyber security and risk management leader with proven expertise in cyber security, eCommerce fraud investigations and risk mining (SQL, Python, Machine Learning, Data Science, etc.) to join The Trust & Store Integrity team (TSI) within SPS (Selling Partner Services). The individual in this role will lead a team of experts to investigate complex fraud schemes and prevent bad actors from committing fraud on our stores. The Sr. Security Industry Specialist is responsible for setting team goals, defining metrics to measure progress, and providing strategic consultation and guidance on emerging fraud trends in eCommerce, cyber security and compliance domains. An Individual in this role will own a portfolio of critical and high impact risk investigations and root cause analysis projects to scale their impact through technology and analytics (SQL, Python, machine learning). Further, an individual in this role is responsible to interpret and connect risks across Amazon’s multiple businesses and drive implementation of systematic solutions to solve endemic problems. The ideal candidate should be passionate about building teams (hiring, developing etc.), setting mechanisms to deliver results in a fast-paced environment, solving highly ambiguous risk problems through use of advanced data analytics and technology. They will lead their team to identify risk patterns, uncover process and technology gaps to prevent fraud at scale across Amazon stores worldwide. To be successful, the candidate must possess a customer-oriented attitude; have the highest standards of professionalism; and thrive in a work environment where everyone's views are respected and valued. Key job responsibilities• Complete risk analyses using complex data sets leveraging SQL, Python, R etc. • Build cross-team mechanisms to drive effective teamwork, communication, and collaboration across multiple groups with competing priorities. • Develop an in-depth understanding of the drivers for complex fraud schemes and create scalable processes for partner teams to understand the root cause of fraud risks in Amazon's internal business workflows and systems. • Define the metrics, measurements and analytical tools to quantify impact and surface area of risk and drive efforts to reduce those risks. • Advocate on behalf of Customers, Brands, and Selling Partners through the identification of gaps to prevent abuse, and drive resolution of the most impactful issues with the teams that own the product/application. • Partner with cross-functional teams of technical and non-technical stakeholders to define strategy, communicate, and drive progress across multiple initiatives• Anticipate bottlenecks, escalate effectively, anticipate and make tradeoffs to balance the business impact versus resource constraints. • Communicate program issues and status in a concise, accurate, and professional manner to all level of leaderships. • Remain flexible to changing priorities, open to new ideas and have Amazon's success firmly in your focus. • Conduct large scale deep dives to derive insights about tactics used to conduct abuse on our stores, identifying gaps and risk in Amazon's current mechanisms, systems, and policies • Write documents to share with partner teams and leadership team to provide progress update, propose new solutions, and drive alignment among stakeholders About the teamAbout the teamAbout the team The Trust & Store Integrity team (TSI) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon’s millions of selling partners. We embrace our differences and are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. 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. We design and implement policies, tools and innovative technology solutions to protect customers by identifying and preventing abuse worldwide. Our 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. Our 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. We care about your career growth and strive to help each team member develop into a better-rounded professional.Our growth requires highly skilled candidates who move fast, have an entrepreneurial spirit to create new solutions, a tenacity to get things done, and are capable of breaking down and solving complex problems. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company. Our team is comprised of experts in risk domains such as fraud, cybersecurity, data security, insider risk, regulatory compliance, etc. with a strong dependence on data analysis and or technical skills. We complement specialized industry skills with broad risk experiences gathered through years of experience to deliver results. We make mistakes, learn from them, and support each other. Our work is to solve hard puzzles - typically with data and always with a lot persistence and curiosity. If you like the sound of that, come join us.BASIC QUALIFICATIONS• Bachelor's degree in Information Security, Computer Science, Data Science/Analytics, Engineering, Mathematics, Statistics with 7+ years of relevant industry experience handling cyber security risks, fraud investigations, or regulatory compliance. • Highly proficient in data analysis (SQL or experience with multi-terabyte and petabyte relational databases) or scripting (i.e., Python, R, MATLAB).• 5+ years of team management experience in information security, access controls, fraud, cybersecurity, or regulatory compliance.• Proven history of managing talent and coaching team members to grow their career in technical and non-technical roles.• Excellent written and verbal communication skills to communicate security and business risk to a broad range of technical and non-technical audiences. • Proficient with data (SQL or experience with relational databases) or technology (i.e. Python, R, MATLAB).• Excellent written and verbal communication skills to communicate security and business risk to a broad range of technical and non-technical audiences. • Demonstrated analytical and quantitative skills using hard data and metrics to back up assumptions and develop business cases. • Proven ability to deliver complex projects across multiple teams. • Demonstrated experience in delivering complex projects across multiple teams.• Technical knowledge in at least one security domain such as access controls, engineering, system and network security, authentication, or security protocols. • High level of integrity and discretion to handle confidential information.• CompTIA Security certification or other cyber security certifications ...

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by protecting Amazon customers from hackers and bad actors? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer every day? Are you excited by the prospect of analyzing and modeling terabytes of data and create state-of-art algorithms to solve real world problems? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Amazon Account Integrity team.The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high‐judgement decision‐making where we cannot apply automation.Please visit https://www.amazon.science for more informationBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 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- Communication and data presentation skills- Problem solving ability ...

Join our Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazon Basics, Amazon Essentials, and by Amazon.The Selection Guidance team applies Generative AI, Machine Learning, Statistics, and Economics solutions to drive our private brands product assortment, strategic business decisions, and product inputs such as title, price, merchandising and ordering. We are an interdisciplinary team of Scientists, Economists, Engineers, and Product Managers incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.As a Principal Applied Scientist you will invent novel solutions and prototypes, and directly contribute to bringing your ideas to life through production implementation. Current research areas include entity resolution, generative AI, large language models, and product substitutes. You will review and guide scientists across the team on their designs and implementations, and raise the team bar for science research and prototypes.This is a unique, high visibility opportunity for someone who wants to develop cutting edge science solutions and have direct business and customer impact. Key job responsibilities- Partner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions.- Invent novel science solutions and develop prototypes to solve business problems.- Review and guide science solutions across the team.- Publish and socialize your and the team's research across Amazon and external avenues as appropriate- Leverage industry best practices to establish repeatable applied science practices, principles & processes.BASIC QUALIFICATIONS• Ph.D. degree in Statistics, Computer Science, Applied Math, Machine Learning, or a related field• 7+ years of hands-on experience in solving difficult machine learning problems • Experience in patents or publications at top-tier peer-reviewed conferences or journals• Expert at more than one major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar)• Demonstrated ability to serve as a technical lead • Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions.• Strong fundamentals in problem solving, algorithm design and complexity analysis• Proven track in leading, mentoring, and growing teams of scientists ...