Bellevue

Are you interested in helping Amazon make history and redefine the meaning of ‘fast’ in eCommerce? We are the Same Day Delivery Experience team and are in the early innings of reinventing the Amazon shopping experience to make Amazon the first place customers think to shop when they need something today, wherever they are in the world. We’re looking for a Software Development Engineer II for the Same Day Delivery Experience team to help ensure we have a compelling and friction-free ‘delivery in hours’ experience available to our customers, and help drive continuous innovation and improvement of the delivery experience across all phases of shopping, buying, and post purchase experience.- Every single retail purchase placed on Amazon's retail websites uses our team’s software.- Our systems process hundreds of millions of transactions per day.- Our team’s work impacts millions of customers all over the world.Key job responsibilitiesIn this role, you will:- Build highly extensible software systems to meet the rapid growth of Amazon's delivery business and capabilities.- Evolve and build services that are highly reliable and extremely low latency- Design the direction of the checkout delivery experience working with multiple, different teams across the company- Build the next generation systems for representing delivery choices to enable rapid experimentation in the area of customer experience.A day in the lifeYou will be working in a fast-paced environment, on a team of smart software engineers, to design and build the right technical solutions to meet the needs of the business. You will have direct ownership over the design of new components aimed at improving the platform's extensibility, scalability, availability, and latency. We care about both delighting customers and high quality software; we don’t sacrifice one for the other. We’re looking for someone with a demonstrated track record of highly-scalable, global software solutions.About the teamDelivery speed is one of the biggest areas of investment for the Consumer business. We are the team responsible for launching Prime Free One Day, and Sub Same Day Delivery, looking for the right Engineers to help us tackle a bold and boundary-pushing agenda. Please contact me directly for more details on position.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Participate in the design, development, implementation, testing and documentation of distributed software applications, tools, systems and services using Java, Python, and Object Oriented Design. Translate functional requirements into robust, efficient, supportable solutions that work well within the overall system architecture. Participate in the full development cycle, end-to-end, from design, implementation, and testing to documentation, delivery and maintenance. Produce comprehensive, usable software documentation. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior development engineers. Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Would you like to redefine the speed at which Amazon delivers packages and delight our end customers as well as our Delivery Associates? Did you ever wonder about technologies that are in place that help us deliver packages at this scale to our customers? Come and join the Amazon Last Mile technology (LMT) team to work hard, have fun, and make history by ensuring the right technologies are being leveraged to efficiently meet our customer delivery commitments within our growing logistics network at Amazon. The team will be focused on designing and implementing solutions & tool-sets to help Last Mile delivery associates and station managers to scale and operate efficiently in the increasingly complex delivery network.Our team is actively seeking motivated and multi-talented engineers who are passionate about technological and business innovation. You will lead and grow a talented team of engineers who develop and integrate cutting-edge technologies, machine learning, and cloud computing into pragmatic solutions for package transportation, logistics, and delivery.Key job responsibilitiesSuccessful candidates will embody the entrepreneurial spirit, wear many hats, and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span real-time, embedded, and distributed systems. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun, and drive a positive impact on millions of customers.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.The benefits that generally apply to regular, full-time employees include:Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Route Planning team is at the heart of our growing logistics network in Last Mile at Amazon. We’re challenged to constantly improve and innovate on our routing services and tools to better support fast delivery to customers. We are looking for a Software Development Engineer with exceptional technical skills and a passion for delivering great software to join our team. We have among the most complex logistics problems in the industry, including large, capacitive, commingled, and time window adherence routing problems. We dispatch thousands of drivers a day to carry millions of packages to our customers.Parcel delivery strategies have objectives that can often compete with one another. Most notably, ideal on-road and in-station processes may be incompatible; moreover, optimizing for the “happy path” leads to operational realities that are not resilient to failure (which are common during peak delivery times). In this role, you will create globally optimal route plans amidst these opposing forces. Vehicle routing touches sortation, containerization, picking, and dispatch. You will work at the intersection of these to build a plan that is efficient, fair, and executable. You will learn about optimization, routing algorithms, and building tools for operators to be successful each and every day around the globe. You will work with research scientists, senior engineers and product managers in a fast paced and growing environment, where ideas are prototyped, tested, and implemented.Key job responsibilitiesThis is a great opportunity to be part of a complex problem space, be part of a fun, but competitive group of peers, leverage the core-engineering skills, and nurture the out of box thinking that’s engrained in your DNA.The routing team is at the heart of our growing logistics network in Last Mile at Amazon. We’re challenged to constantly improve and innovate on our vehicle routing software and tools to better support fast delivery to customers. We are looking for SDEs with exceptional technical skills and a passion for delivering great software to join our team. We have among the most complex vehicle routing problems in the industry, including large, capacitive, commingled, and time windowed routing problems. We dispatch thousands of drivers a day to carry millions of packages to our customers. In this role, you will create globally optimal route plans amidst these opposing forces in Parcel delivery strategies have objectives that can often compete with one another. Vehicle routing touches sortation, containerization, picking, and dispatch. You will work at the intersection of these to build a plan that is efficient, fair, and executable.You will learn about optimization, routing algorithms, and building tools for operators to be successful each and every day around the globe. You will work with Sr Principal/Principal/Sr research scientists, Principal/Sr engineers, and product managers in a fast paced and growing environment, where ideas are prototyped, tested, and implemented. You will get opportunities to work on core Algorithms (truly Algorithms, not just software wrapping algorithms), Distributed systems and Scalable architecture. We primarily develop on NAWS and are actively moving all our services to NAWS rapidly – we want our engineers to work on tech that are fungible across the industry.About the teamThe Routing Platform team has four pillars: 1) building reusable components and maintaining workflows responsible for input collection for different businesses as well as the external APIs for Route Planning, 2) hosting the optimization algorithms to solve the Vehicle Routing Problem, 3) managing route lifecycle inclusive of providing a source of truth for route status and tracking route state changes, 4) managing core routing frameworks and providing simulation capabilities for all systems. Software Engineers work across across two or more of the Routing Platform teams as well as across organizations. Due to the criticality of the owned systems, we collaborate closely with multiple Principal Engineers within the broader organization. This position will focus primarily on building reusable components and workflow responsible for input collection. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Are you interested in helping Amazon make history and redefine the meaning of ‘fast’ in eCommerce? We are the Same Day Delivery Experience team and are in the early innings of reinventing the Amazon shopping experience to make Amazon the first place customers think to shop when they need something today, wherever they are in the world. We’re looking for a Software Engineer for the Same Day Delivery Experience team to help ensure we have a compelling and friction-free ‘delivery in hours’ experience available to our customers, and help drive continuous innovation and improvement of the delivery experience across all phases of shopping, buying, and pre and post purchase experience.This role involve using Machine Learning model to predict demand forecast for SSD program at different granularity.A successful engineer in this role is:You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and methods which support rational decision-making.You aren't satisfied by performing 'as expected' and push the limits past conventional boundaries.You help grow your team members to achieve excellent results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results.You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers.Key job responsibilities- Developing and maintaining key features of our systems and services- Working with team members on design approaches and prototyping new technology- Working on product improvements, with focus on customer experience and scalability- Dive deep into complex technical problems- Raising the bar for operational excellence and development practicesBASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Are you interested in helping Amazon make history and redefine the meaning of ‘fast’ in eCommerce? We are the Same Day Delivery Experience team and are in the early innings of reinventing the Amazon shopping experience to make Amazon the first place customers think to shop when they need something today, wherever they are in the world. We’re looking for an Software Engineer for the Same Day Delivery Experience team to help ensure we have a compelling and friction-free ‘delivery in hours’ experience available to our customers, and help drive continuous innovation and improvement of the delivery experience across all phases of shopping, buying, and post purchase experience.Key job responsibilities* You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and methods which support rational decision-making.* You aren't satisfied by performing 'as expected' and push the limits past conventional boundaries.You help grow your team members to achieve excellent results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results.* You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers.About the teamDelivery speed is one of the biggest areas of investment for the Consumer business. We are the team responsible for launching Prime Free One Day, and Sub Same Day Delivery, looking for the right Engineers to help us tackle a bold and boundary-pushing agenda. Please contact me directly for more details on position.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle?At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand.Key job responsibilities• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.• Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.• Design and code the right solutions starting with broadly defined problems.• Work in an agile environment to deliver high-quality softwareA day in the lifeThe challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years.About the teamRecipient Experience (REX) - Our mission is to deliver reliable and innovative solutions that allows the business to optimize targeting and sending post order transactional notifications WW and enables end-customers to receive timely order updates and prompts to take action when needed. We strive to create technology and system that is user-friendly, efficient, SLA driven and serves as a central platform for multiple businesses to manage their transactional notifications. Our team is dedicated to continuously improving our products by adding communication channels, reduce cost to deliver, improve experimentation velocity and reduce operational load to stay ahead of the curve and meet the evolving needs of our customers.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Amazon Freight is a fast-growing startup at Amazon and we are looking for passionate owners to shape the direction of the business. Amazon Freight blends advanced technology with a network of 50,000+ Amazon trailers, building on the world class network and freight services currently used to operate Amazon’s own freight movements. We are looking for complex problem solvers who are able to build and manage relationships with senior leaders at Fortune 500 companies to externalize these transportation capabilities as a service.As a Senior Account Executive, the role will oversee relationships with Amazon Freight’s largest Customers. In this role, the Senior Account Executive will drive new business growth by unlocking new commercial opportunities and selling creative solutions aligned to customer needs while also maximizing retention of an existing portfolio of business. The position will build solutions with internal Pricing, Sales, and Operations teams that will unlock new business while also delivering a high-quality customer experience.As the primary relationship manager, the Senior Account Executive will be responsible for customer advocacy, driving continuous improvement and collaborating to deliver on customer commitments to create a high-performing profitable service. This role requires a collaborative business builder mindset to work cross- functionally to operate in a startup environment at Amazon. If you are excited to be part of something new, where you will directly impact the direction of the business, then this is the role for you.Key job responsibilities- Own the primary commercial relationship with executive decisions makers and will be responsible for building healthy engagements that enable business growth and opportunity- Responsible for defining and executing a strategic account growth plan, including aligning stakeholders internally and externally to deliver on the objectives- Coordinate with internal teams and customers to implement and scale new business- Partner with operations leaders to define scalable operating plans for the accounts in your portfolio that help achieve target portfolio financial outcomes- Identify new growth opportunities and define business plans to achieve goals- Prioritize and effectively communicate asks of partner teams to unlock new business opportunities and growth across your portfolio- Manage opportunity pipeline and monitor the health of the account which includes, but is not limited to, Customer KPI review, revenue quality monitoring, identifying additional opportunities, contract and term review to ensure contract adherenceBASIC QUALIFICATIONS- 5+ years of developing, negotiating and executing business agreements experience- 5+ years of professional or military experience- Bachelor's degree- Experience developing strategies that influence leadership decisions at the organizational level- Experience managing programs across cross functional teams, building processes and coordinating release schedules ...

Do you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that revolutionize how businesses operate?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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.Region Services Corporate Infrastructure (RSCI) is looking for an experienced Windows Client Systems Engineer with a deep knowledge of Windows desktop services, including virtual desktops and infrastructure. Our mission is to deliver robust, highly available, and easy to use services to our internal customers in support of the Amazon Dedicated Cloud for U.S. Government customers. We are looking for a motivated engineer to deliver results for our customers. This is a hands-on position where your daily role will maintain and enhance existing services, including Windows build / deployment capabilities, fulfilling requests for application packaging / deployment and break / fix scenarios for all technologies the team manages. This role will work closely with the Security Compliance team to ensure security compliance with all desktop environments.You will have a strong and diverse technical background that allows you to approach problems with confidence and ingenuity. You must be a “lifelong learner”, embracing the rapid innovations in technology and understanding how to leverage them to continue to improve our products. A successful Windows Client Engineer will drive the design and implementation of new services, find ways to improve and automate our existing services, and provide escalation and mentoring for junior team members. If Arlington HQ (HQ2):This role will sit in our new headquarters in Northern Virginia, where Amazon will invest $2.5 billion dollars, occupy 4 million square feet of energy efficient office space, and create at least 25,000 new full-time jobs. Our employees and the neighboring community will also benefit from the associated investments from the Commonwealth including infrastructure updates, public transportation improvements, and new access to Reagan National Airport.By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.10012Key job responsibilitiesThis role oversees deployment, configuration, and management of core ADC services, including directory services, file and print, DNS/DHCP, application servers and management of server hardware and infrastructure.In the first six to twelve months you will:- Adapt and improve operations management systems and processes to accommodate rapid and increasing growth in systems and traffic- Drive expedient resolution and root cause analysis for critical issues affecting your services- Mentor and develop a team of Operational Engineers with an emphasis on providing dial tone services- Bring continuous improvement to operational processes- Balance raw up-front dollar cost with usability, operability and TCO, both in datacenters and on-site services- Lead the development and delivery of state of the art system health monitoring, diagnostics, repair, and other self-healing automation- Develop automation tools and processes that reduce manual effort and increase overall efficiency- Innovate and drive improvements in monitoring and visualization of system health, status of maintenance tasks, and reporting systems A day in the lifeDiverse 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. About 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. About the teamThis position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.Do you have a passion for innovation and building technologies that make large-scale clouds more reliable, efficient, and scalable? Would you like to work within the most advanced and scaled clouds that support the most critical workloads for the US Intelligence and Defense communities? Do you want to build automation that will influence the national security and defense mission agency partners of AWS? Our mission is to deliver robust, highly available, and easy to use services to our internal customers in support of the Amazon Dedicated Cloud for U.S. Government customers. We are looking for a motivated engineer to deliver results for our customers. This is a hands-on position where your daily role will maintain and enhance existing services, including Windows build / deployment capabilities, fulfilling requests for application packaging / deployment and break / fix scenarios for all technologies the team manages.Have questions about this role? Start a chat with the recruiter today! Please reach out to Scott Korkowski at korkowsk@amazon.com for inquiries.Want to learn more about the team / role - "Request Informational" session with the Hiring Manager via the internal career portal job page.BASIC QUALIFICATIONS- Associate's degree, or Cloud+ or GICSP (Global Industrial Cyber Security Professional) or GSEC (GIAC Security Essentials) or SSCP (Systems Security Certified Practitioner)- Eight (8+) years supporting Windows family of operating systems to include four (4) of the following eight (8) core competencies: AD, DHCP, PowerShell, Email workflow, SCCM, SCOM, Win OS, DNS, and disaster recovery/business continuity- 3+ years' experience in automation / scripting in the Windows environment using PowerShell- Defined Knowledge of networking basic skills and troubleshooting- Experience automating tasks such as, software packaging and deployment, automated security patching, and Operating System Deployment.- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Applied Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative models knowledge. Key job responsibilitiesAs an Applied Scientist with the AIT team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our international customers in the form of products and services that make use of digital assistance technology. You will leverage Amazon’s heterogeneous data sources, unique but diverse international customer nuances and large-scale computing resources to accelerate advances in voice domain in multi-modal setup. The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in this vast and quickly evolving field. They thrive in fast-paced environments to will tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. A day in the life· Analyze, understand, and model customer behavior and the customer experience based on large scale data. Especially showing passion towards solving for international customer-centric challenges.· Build novel online & offline evaluation metrics an methodologies for personal digital assistants and customer scenarios, on multi-modal devices.· innovate and deliver deep learning based innovation across life-cycle such as policy-based learning, international customer specific model performance tuning.· Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing· Contribute through industry first research to drive the innovation forward. BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

We are a part of Amazon Artificial General Intelligence (AGI) organization where our mission is “delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden”. We are developing advanced systems to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of Natural Language Processing (NLP), Large Language Model (LLM), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware personal assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, shipping solutions via rapid experimentation and then iterating on user feedback and interactions.Key job responsibilitiesAs a Senior Applied Scientist, you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems, setting the direction and collaborating with applied scientists and engineers to develop novel algorithms and modeling techniques to enable timely, relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learing, deep learning and language model technologies. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art. BASIC QUALIFICATIONS- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language ...

AI for Domains (AIDO) team is part of Alexa Conversational Assistant Services organization where our mission is to create a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints. We are looking for talented and experienced science leader in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have solid technical background and extensive experience in leading projects and technical teams. The ideal candidate would also have experiences in developing natural language processing systems (particularly LLM based systems) for industry applications, enjoy operating in highly dynamic and ambiguous environments, be self-motivated to take on challenging problems to deliver customer impact.Key job responsibilitiesAs a Senior Applied Scientist, you will: * Build a strong and coherent team with particular focus on sciences and innovations in LLM technologies for conversation AI applications* Serve as a technical lead on demanding and cross-team projects, and effectively collaborating with multiple cross-organizational teams* Apply technical influence on partner teams, increasing their productivity by sharing your deep knowledgeBASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, Mathematics, or a related field.- Solid ML background and familiar with standard NLU, NLG, and LLM techniques ...

Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Senior Applied Scientist to help build industry-leading technology with Large Language Models (LLM's) and multimodal systems, requiring strong deep learning and generative models knowledge. Key job responsibilitiesAs a Senior Applied Scientist with the AIT team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our international customers in the form of products and services that make use of digital assistance technology. You will leverage Amazon’s heterogeneous data sources, unique but diverse international customer nuances and large-scale computing resources to accelerate advances in voice domain in multi-modal setup. The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in this vast and quickly evolving field. They thrive in fast-paced environments to tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. A day in the life- Analyze, understand, and model customer behavior and the customer experience based on large scale data - especially showing passion towards solving for international customer-centric challenges- Build novel online & offline evaluation metrics and methodologies for personal digital assistants and customer scenarios on multi-modal devices- Innovate and deliver deep learning-based innovation across life-cycle such as policy-based learning, international customer specific model performance tuning- Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing- Contribute through industry first research to drive the innovation forwardBASIC QUALIFICATIONS- 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

We are seeking a passionate, talented, and inventive individual to join the Applied AI team and help build industry-leading technologies that customers will love. This team offers a unique opportunity to make a significant impact on the customer experience and contribute to the design, architecture, and implementation of a cutting-edge product. The mission of the Applied AI team is to enable organizations within Worldwide Amazon.com Stores to accelerate the adoption of AI technologies across various parts of our business. We are looking for a Senior Applied Scientist to join our Applied AI team to work on LLM-based solutions. We are seeking an experienced Scientist who combines superb technical, research, analytical and leadership capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our research teams. We’re looking for someone who innovates, and loves solving hard problems. You will be expected to have an established background in building highly scalable systems and system design, excellent project management skills, great communication skills, and a motivation to achieve results in a fast-paced environment. You should be somebody who enjoys working on complex problems, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals. Key job responsibilitiesYou will be responsible for developing and maintaining the systems and tools that enable us to accelerate knowledge operations and work in the intersection of Science and Engineering. You will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team. A day in the lifeOn our team you will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team. BASIC QUALIFICATIONS- 4+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs a Senior Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of audio technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in AGI in speech/audio/music domains.About the teamOur team has a mission to push the envelope of AGI in speech/audio/music domains, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Experience with LLM model training and tuning ...

Amazon is looking for world class senior applied scientist to join its AWS Fundamental Research Team working within a variety of machine learning disciplines. This group is entrusted with developing core machine learning solutions for AWS services. At the AWS Fundamental Research Team you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually large scale ML solutions across different domains and computation platforms. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.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.About the teamDiverse 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- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Why this job is awesome?This is SUPER high-visibility work: Our mission is to provide consistent, accurate, and relevant delivery information to every single page on every Amazon-owned site.MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve the real customer problems, and also wants to see and measure their direct impact on customers.We are a cross-functional team that owns the ENTIRE delivery experience for customers: From the business requirements to the technical systems that allow us to directly affect the on-site experience from a central service, business and technical team members are integrated so everyone is involved through the entire development process.You will have a chance to develop the state-of-art machine learning, including deep learning and reinforcement learning models, to build targeting, recommendation, and optimization services to impact millions of Amazon customers.- Do you want to join an innovative team of scientists and engineers who use machine learning and statistical techniques to deliver the best delivery experience on every Amazon-owned site?- Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create state-of-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 like to innovate and simplify?If yes, then you may be a great fit to join the DEX AI team.Key job responsibilities- Research and implement machine learning techniques to create scalable and effective models in Delivery Experience (DEX) systems- Solve business problems and identify business opportunities to provide the best delivery experience on all Amazon-owned sites.- Design and develop highly innovative machine learning and deep learning models for big data.- Build state-of-art ranking and recommendations models and apply to Amazon search engine.- Analyze and understand large amounts of Amazon’s historical business data to detect patterns, to analyze trends and to identify correlations and causalities- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationBASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

At Amazon's FinTech organization, we are seeking a Senior Applied Scientist to spearhead the development of cutting-edge Generative AI applications that will redefine the financial services industry. You will harness the transformative power of Large Language Models (LLMs) and multi-agent architectures to drive disruptive innovation across Finance domains such as fraud prevention, financial forecasting, and insurance. Because of our scale, your products will have hundreds of millions of dollars of impact. You will collaborate closely with cross-functional business and engineering teams to identify and deliver high-impact use cases for Generative AI. You will design, develop, and evaluate Generative AI models and agents. You will partner with engineering teams to ensure seamless model deployment and integration into production systems, while also driving continued scientific innovation as a published thought leader and practitioner.You will mentor and develop junior scientists and engineers, fostering a culture of continuous learning and improvement. You will contribute to the broader research community by publishing your work in peer-reviewed conferences and journals.Check out this AWS Blog for some of our recent work in LLMs for financial application: https://aws.amazon.com/blogs/machine-learning/efficient-continual-pre-training-llms-for-financial-domains/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 our careers.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 5+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

The Fulfillment by Amazon (FBA) team is looking for a passionate, curious, and creative Senior Applied Scientist, with expertise in machine learning (ML) and a proven record of solving business problems through scalable ML solutions, to join our top-notch cross-domain FBA science team. We want to learn seller behavior, understand seller experience, build automated LLM-based solutions to sellers, design seller policies and incentives, and develop science products and services that empower third-party sellers to grow their businesses. We also predict potentially costly defects that may occur during packing, shipping, receiving and storing the inventory. We aim to prevent such defects before occurring while we are also fulfilling customer demand as quickly and efficiently as possible, in addition to managing returns and reimbursements. To do so, we build and innovate science solutions at the intersection of ML, statistics, economics, operations research, and data analytics. As a senior applied scientist, you will propose and deploy solutions that draw from a range of scientific areas such as supervised and unsupervised learning, recommendation systems, statistical learning, LLMs, and reinforcement learning. This role has high visibility to senior Amazon business leaders and involves working with other scientists, and partnering with engineering and product teams to integrate scientific work into production systems.Key job responsibilitiesAs a senior member of the science team, you will- play an integral role in building Amazon's FBA supply chain management system.- Research and develop ML models to solve diverse business problems faced in seller inventory management systems.- Define a long-term science vision and roadmap for the team, driven fundamentally from our customers' needs, translating those directions into specific plans for research.- Drive and execute ML projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring.- Review and audit modeling processes and results for other scientists, both junior and senior.- Advocate the right ML solutions to business stakeholders, engineering teams, as well as executive level decision makers.A day in the lifeIn this role, you will be a technical leader in ML with significant scope, impact, and visibility. As a senior scientist on the team, you will be involved in every aspect of the process - from idea generation, business analysis and scientific research, through to development and deployment of advanced models - giving you a real sense of ownership. From day one, you will be working with experienced scientists, engineers, and designers who love what they do. You are expected to make decisions about technology, models, and methodology choices. You will strive for simplicity, and demonstrate judgment backed by mathematical proof. You will also collaborate with the broader decision and research science community in Amazon to broaden the horizon of your work and mentor engineers and scientists. The successful candidate will have strong expertise in applying ML models in an applied environment and is looking for her/his next opportunity to innovate, build, deliver, and impress. We are seeking someone who wants to lead projects that require innovative thinking and deep technical problem-solving skills to create production-ready machine learning solutions. The candidate will need to be entrepreneurial, wear many hats, and work in a fast-paced, high-energy, highly collaborative environment. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.About the teamFulfillment by Amazon (FBA) is a service that allows sellers to outsource order fulfillment to Amazon, allowing sellers to leverage Amazon’s world-class facilities to provide customers Prime delivery promise. Sellers gain access to Prime members worldwide, see their sales lift, and are free to focus their time and resources on what they do best while Amazon manages fulfillment. Over the last several years, sellers have enjoyed strong business growth with FBA shipping more than half of all products offered by Amazon. FBA focuses on helping sellers with automating and optimizing the third-party supply chain. FBA sellers leverage Amazon’s expertise in ML, optimization, data analytics, econometrics, and market design to deliver the best inventory management experience to sellers. We work full-stack, from foundational backend systems to future-forward user interfaces. Our culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making.BASIC QUALIFICATIONS- Master's degree in math/statistics/engineering or other equivalent quantitative discipline- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Proficiency in model development, model validation, and model implementation with big data ...

Have you ever wondered how Amazon predicts when your order will arrive and how we ensure that it actually arrives on at the promised date/time? Have you wondered where all those Amazon semi-trucks on the road are headed? Are you passionate about increasing efficiency and reducing carbon footprint? Does the idea of having worldwide impact on Amazon's logistics network including our planes, trucks, and vans sound exciting to you? If so, then we want to talk with you! At Amazon's Supply Chain Optimization Technologies (SCOT), we are tasked with optimizing the fulfilment on customer orders so that we fulfil all orders worldwide in the most intelligent manner while ensuring Amazon customers get their orders on time.Amazon Fulfillment Planning & Execution (FPX) Science team within SCOT- Fulfilment Optimization group is seeking a Senior Applied Scientist with expertise in Optimization and a proven record of solving business problems through scalable Optimization solutions. FPX Science tackles some of the most mathematically complex challenges in transportation planning and execution space to improve Amazon's operational efficiency worldwide. We own Amazon’s global fulfilment planning and execution. The team also owns the short and mid-term-term network planning and execution that determines the optimal flow of customer orders through Amazon fulfilment network. This includes developing sophisticated math models and controllers that assign orders to fulfilment centres to be picked and packed and then planning the optimal ship method in terms of cost, speed and carbon impact to deliver to the customer. These plans drive downstream decisions that are in the billions of dollars at Amazon Scale worldwide! The systems we build are entirely in-house, and are on the cutting edge of both academic and applied research in large scale supply chain planning, optimization, machine learning and statistics. These systems operate at various scales, from real-time decision system that completes thousands of transactions per seconds, to large scale distributed system that optimize Amazon’s fulfilment network. As Amazon continues to build and expand the first party delivery network, this role will be critical to realize this vision. Your tech solution will have large impacts to the physical supply chain of Amazon, and play a key role in improving Amazon consumer business’s long-term profitability. If you are interested in diving into a multi-discipline, high impact space this is the team for you. We’re looking for a passionate, results-oriented, and inventive Senior Applied Scientist who can create and improve optimization models for our outbound transportation planning and execution systems. In addition, you will be working on design, development and evaluation of highly innovative Optimization models for solving complex business problems in the area of outbound transportation planning systems. Watch http://bit.ly/amazon-scot to get the big picture. Key job responsibilitiesAs a Senior Applied Scientist within FPX Science team, you will propose and deploy solutions that will likely draw from a range of scientific areas such as Optimization, machine learning, advanced statistical modeling, and graph models. You will have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry, with some of the best product managers, research scientists, statisticians, and software engineers to integrate scientific work into production systems. You will bring deep technical expertise in the area of Optimization, and will play an integral part in building Amazon's Fulfillment Optimization systems. Other responsibilities include:* Design, development and evaluation of highly innovative Math models for solving complex business problems. * Research and apply the latest Optimization techniques and best practices from both academia and industry. * Think about customers and how to improve the customer delivery experience. * Use and analytical techniques to create scalable solutions for business problems. * Work closely with software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. * Technically lead and mentor other scientists in team. * Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.A day in the lifeThis is a great role for someone who likes to learn new things. You will have the opportunity to learn all about how Amazon plans for and executes within its logistics network including Fulfillment Centres, Air Stations, Sort Centres, Delivery Stations, and more. You will need to meet with many internal customers to understand their business and their challenges as you develop an effective solution to enable us to collectively scale. Our leadership is very interested in this effort so you will find lots of opportunities to get your ideas and plans in front of them for evaluation and alignment. We are seeking someone who wants to lead projects that require innovative thinking and deep technical problem-solving skills to create production-ready mathematical optimization solutions. A successful candidate is 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. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.About the teamFulfillment Planning & Execution Science team contains a group of scientists with different technical backgrounds including Machine Learning and Operations Research, who will collaborate closely with you on your projects. Our team directly supports critical functional areas across Fulfillment Optimization and the research needs of the corresponding product and engineering teams. We tackle some of the most mathematically complex challenges in facility and transportation planning and execution to improve Amazon's operational efficiency worldwide and at a scale that is unique to Amazon. We often seek the opportunity of applying hybrid techniques in the space of Operations Research and Machine Learning to tackle some of our biggest technical challenges. We disambiguate complex supply chain problems and create ML and optimization solutions to solve those problems at scale.BASIC QUALIFICATIONS- 5+ years of applied research experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- 5+ years of industry or academic research experience- Ph.D. in Operations Research, Computer Science, Industrial Engineering, Statistics, Applied Mathematics, or a related field- 5+ years of hands-on experience in building optimization models in business environment- Proven track in leading and mentoring scientists with demonstrated ability to serve as a technical lead- Strong fundamentals in problem solving, algorithm design and complexity analysis ...