Do you like to use network and Unix systems engineering to deliver simple, sustainable and repeatable solutions Would you like to play a key role in driving the stability and sustainability of next-generation IP networks AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we’re looking for talented people who want to help.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.The AWS GCNA (Global Connectivity and Network Availability) Organization is looking for a Network Development Engineer to join our Backbone Enterprise, and Regional Engineering (BERE) team. Network Development Engineers partner with our broader Infrastructure organization on configurations standards and tools, and collaborate with Systems and Software Engineers to ensure fast, smooth roll-out of new designs and products, and also deploy and sustain networking software tools.AWS GCNA (Global Connectivity and Network Availability) is the backbone that connects the global AWS network. Focused on controlling the internet traffic that allows users to access their information and applications regardless of where they are in the world. GCNA is responsible for building and designing a complex backbone network that allows internet traffic to flow efficiently between data centers and customers.Key job responsibilitiesNetwork Development Engineers perform high quality network and/or systems operations, deployments, scaling, technology refresh, sustaining engineering, best practices application, optimization, internal/external customer interactions, and produce appropriate technical documentation.• Create and implement changes on the network.• Work closely with our automation teams in defining the tools that allow us to scale at higher volume.• Lead network projects in the areas of network sustaining engineering, network deployment/implementation, network scaling, technology refresh, best practices application, and/or network optimization.• Sustain Amazon Web Services’ next generation networks for significant AWS customers by providing critical network support to diagnose, mitigate impact, and resolve large-scale networking events.• Operate and troubleshoot network routing, interconnectivity, platforms, performance, and configurations issues; including necessary low level application interaction, Unix systems, and new age networking software tools.• Drive and support innovation from Top of Rack to the Network Border and everything in between.• Partner with our broader Network/Infrastructure organization in the areas of network engineering, configurations standards, and tools.• Work closely with our Network/Systems/Software Engineering teams to ensure fast, smooth roll-out of new designs and products, as well as assist with deployment and sustaining of networking software tools.• Maintain standards across the networking toolset and ensure that we are fully compliant to those standards and policies.• Deliver simple, sustainable and repeatable solutions and processes.• Collaborate with highest tier escalation engineers/resolvers.• Create and review documentation and process regarding network. implementation/deployments, recurring issues, new standard operating procedures, knowledge transfer material, etc.A day in the lifeEngineers in the Backbone Enterprise and Regional Engineering (BERE) organization have a wide rangeof responsibilities: we work with internal partners to develop and implement the next gen platformsalong with the tooling ecosystems to support with these platforms driving efficiency and scalabilitythrough the automation of builds, configuration deployment, and the scaling of capacity. As ournetwork is one of the largest in the world, there is no blue print at our scale allowing our engineers todevelop solutions to the complex challenges that we face daily. We encourage durable solutions thatlook around corners while taking into consideration our customer needs from a cost, performance, andreliability perspective. Our team develops tooling that provides the required visibility and control oftraffic across the network, while prioritizing the automatic mitigation of events to minimize the impact to our customers during events.• Work in a 24x7 team on call rotation, with ability to drive into workplace for critical events/needs.• Manage customers during problem resolution and operating efficiently under pressure.• Sit at the computer during scheduled work hours with appropriate breaks while maintaining a high level of alertness and attention to detail.• Travel to data center/network sites and Amazon/customer offices as needed.About the teamWithin AWS Networking, the Backbone Enterprise, and Regional Engineering (BERE) organization isresponsible for the design, implementation, and operations of a wide array of networking infrastructurethat provide global connectivity between all AWS Regions and edge locations.BERE provides the massive scale required to support our AWS customers and internal services, via anetwork that grows by 70% annually. In addition, they have teams that are responsible for the designand operation of our global corporate office and data center network, allowing tens of thousands ofAmazonians to perform their daily tasks in support of our customers.About AWSDiverse 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.EEO/AccommodationsAWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please https://www.amazon.jobs/en/disability/us.BASIC QUALIFICATIONS- 4+ years experience in a network focused hands-on technical role working with IP routing protocols/technologies and platforms in large scale data center and/or WAN network environments.- 4+ years experience developing engineering, deployment, or operations mechanisms to support IP network and/or networking systems.- 4+ years experience in a technical on-call capacity, responding to customer impacting events, mitigating and root cause analysis of those events.- 1+ years of experience in automation via Bash/shell scripting and Perl/Python programming.PREFERRED QUALIFICATIONS- Thorough understanding of TCP/IP networking, IP routing, Server Load Balancing, and Network Security architecture and core technologies such as IP, TCP, OSPF/IS-IS, BGP, MPLS, Server Load Balancers, Firewalls, ACLs, DNS, DHCP, IPAM, LDAP, NFS, etc.- Experience with one or more of the following routers, server load balancer, and firewall vendor platforms: Cisco, Juniper, Alcatel-Lucent, Arista, Brocade, Extreme, Citrix, F5, Fortinet, Palo Alto, etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon’s builders are able to deliver the magic that gets packages to your front door and safely scale those capabilities to millions of customers because they can find the information they need. Amazon is looking for an Applied Scientist to help drive our discovery strategy for Amazon’s trove of knowledge.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 customers who require specialized security solutions for their cloud services.Key job responsibilities* Use deep learning, ML and NLP techniques to create scalable solutions for creation and development of language model centric solutions for building personalized assistant systems based on a rich set of structured and unstructured contextual signals* Innovate new methods for contextual knowledge extraction and information retrieval, using language models in combination with other learning techniques, that allows effective grounding in context providers when considering memory, compute, latency and quality* Research in advanced customer understanding and behavior modeling techniques* Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in personal knowledge aggregation, processing, modeling, and verification* Design and execute experiments to evaluate the performance of state-of-the-art algorithms and models, and iterate quickly to improve results* Think Big about the arc of development of conversational assistant system personalization over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems* Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports* Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the teamA day in the lifeThe Amazon Software Builder Experience (ASBX) organization has a mission of creating the world’s best builder experience across tens of thousands of software engineers, and all Amazon businesses (e.g., AWS, Amazon Stores, etc.). Our Knowledge Tech team in ASBX owns the discovery tools that software developers use to build and innovate on behalf of our customers. This role is for you if you’re passionate about software development, discovery tools, and having world-wide impact across all of Amazon! In addition to delivering results, we also appreciate establishing a work-life-balance, having fun with our co-workers, and supporting an inclusive and collaborative team environment.About the teamDiverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- PhD, or Master's degree and 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 learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Do you like to use network and Unix systems engineering to deliver simple, sustainable and repeatable solutions Would you like your work to play a key role in driving the stability and sustainability of next-generation IP networks AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we’re looking for talented people who want to help.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Are you a Network Engineer with experience building automated solutions who enjoys working in a fast paced and collaborative environment Amazon.com is looking for best-in-class Network Engineers to help deploy, scale and automate one of the world’s largest and complex networks. With Amazon Web Services, our goal is to become “The Infrastructure Platform” to the world. Our customers demand the highest quality and reliability for their services. We are expanding at a tremendous rate it is our responsibility to maintain quality and reliability while developing innovative ways to automate the scaling of our network.Key job responsibilitiesNetwork Development Engineers perform high quality network and/or systems operations, deployments, scaling, technology refresh, sustaining engineering, best practices application, optimization, internal/external customer interactions, and produce appropriate technical documentation.• Be responsible for automation of deploying network infrastructure across all of our network fabrics that supports the Amazon Retail Service, Kindle, Payments and multiple AWS services.• Deploy, scale and automate our network across multiple global datacenters. This includes existing footprints and greenfield locations.• Drive scaling of current network designs to meet the demand of our customers.• Create simple, repetitive deployment processes that increase both velocity and quality.• Work closely with our internal customers on designs/solutions; bringing those designs/solutions from concept to production.• Create and update our network standards and ensure that the network is deployed to these standards.• Create and implement changes on the network.• Automate workfow and execution of deployments on a global scale• Work closely with our automation teams in transitioning and designing new tools that allow us to scale at unprecedented volumeA day in the lifeEngineers in the Internet Edge organization have a wide range of responsibilities: we evolve routing policy, implement traffic engineering solutions, grow our peering footprint, secure the “front door” from bad actors on the Internet, and architect the hardware platforms and network design to support any Amazon product that needs to reach end-users worldwide. Our infrastructure moves terabits of traffic to and from the Internet at any given moment, and represents one of the largest edge surface areas in the world, requiring complex solutions to ensure that capacity always stays ahead of demand. To accomplish that, our engineers develop automation, write software, and work with a wide range of partner teams to continually improve and automate our Internet connectivity in areas such as capacity delivery, configuration deployment, impairment detection, and traffic optimization. Internet Edge engineers make decisions on both a day-to-day and long-term strategic basis, which carry a large amount of responsibility and impact across all of Amazon’s products.• Work in a 24x7 team on call rotation, with ability to drive into workplace for critical events/needs. • Manage customers during problem resolution and operating efficiently under pressure.• Sit at the computer during scheduled work hours with appropriate breaks while maintaining a high level of alertness and attention to detail.• Travel to data center/network sites and Amazon/customer offices as needed.About the teamInternet Edge provides high-performing Internet connectivity for a wide range of use cases, such as retail (amazon.com), video streaming (Prime Video), content delivery (CloudFront), DNS (Route53), AWS services (such as EC2/S3), consumer devices (such as FireTV/Kindle/Echo), and more. Within AWS Networking, the Internet Edge organization is responsible for connecting Amazon to the global Internet. With connections to thousands of unique external networks in hundreds of locations across the world, our mission is to deliver an Internet connectivity experience that sets the global standard for performance, availability, security, and cost, making Amazon the clear choice for our customers’ needs. Working at AWS the GCNA Team - Meet Robert, VP: https://youtu.be/8v5i42FL02w About AWSDiverse 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. EEO/AccommodationsAWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please https://www.amazon.jobs/en/disability/us.BASIC QUALIFICATIONS- 4+ years of major internet routing protocols experience- 4+ years of working in a Linux/Unix environment experience- 1+ years of automation scripting using Python, Bash, Shell and/or Perl experiencePREFERRED QUALIFICATIONS- Thorough understanding of TCP/IP networking, IP routing, Server Load Balancing, and Network Security architecture and core technologies such as IP, TCP, OSPF/IS-IS, BGP, MPLS, Server Load Balancers, Firewalls, ACLs, DNS, DHCP, IPAM, LDAP, NFS, etc.- Experience with one or more of the following router, server load balancer, and firewall vendor platforms: Cisco, Juniper, Alcatel-Lucent, Arista, Brocade, Extreme, Citrix, F5, Fortinet, Palo Alto, etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

SpektrBot is an AI-backed chat assistant for Amazon Ads designed to help business quickly access and analyze advertising data without needing technical skills or extensive support. It simplifies the process of retrieving business insights by allowing users to ask questions in natural language, enabling them to gain answers about ad performance, revenue, and other key metrics efficiently. By streamlining data exploration, SpektrBot enhances decision-making for various teams, such as Finance, Product Management, and Sales, reducing the time spent searching through reports and dashboards. As a Software Engineer at SpektrBot, you will play a pivotal role in shaping the future of our AI-backed chat assistant designed to streamline access to Ads data and insights for business users. You will drive innovation and facilitate the adoption of cutting-edge Generative AI technologies within the advertising space.Key job responsibilities- Drive the design, development, and continuous improvement of machine learning models powering SpektrBot, with a focus on enhancing answer accuracy, contextual relevance, and user trust.- Lead experimentation with Generative AI techniquesincluding prompt engineering, fine-tuning, and metadata refinementto improve response quality and reduce hallucinations.- Architect and implement scalable, low-latency inference pipelines to support real-time, production-grade GenAI applications.- Own the end-to-end execution of ML solutions, ensuring they meet high standards of quality, performance, and reliability while delivering meaningful business insights.- Collaborate cross-functionally with Scientists, Finance, Business Analysts, Product Managers, and Sales Leaders to translate complex business needs into innovative ML solutions.- Champion rapid iteration and experimentation, contributing to the continuous enhancement of SpektrBot and other self-service analytics tools.- Mentor junior engineers in applied ML and GenAI best practices, code quality, system design, and debugging across the full software development lifecycle.BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- 5+ years of industry experience building and deploying machine learning models at scale. Experience with end-to-end ML lifecycle including data preprocessing, feature engineering, model training, evaluation, and deployment.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Smart Home team is focused on making Alexa the user interface for the home. From the simplest voice commands (turn on the lights, turn down the heat) to use cases spanning home security, home entertainment, and the home environment, we are evolving Alexa into an intelligent, indispensable companion that automates daily routines, simplifies interactions with appliances and electronics, and alerts when something unusual is detected. You will be part of a team delivering features that are highly anticipated by the media and well received by our customers.As an Applied Scientist, you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. Key job responsibilities- Developing new inference and training techniques to improve the performance of Large Language Models for Smart Home control and Automation- Developing robust techniques for synthetic data generation for training large models and maintaining model generalization- Mentoring junior scientists to improve their skills, knowledge, and their ability to get things doneAbout the teamWe are a team of Scientists, Machine Learning Engineers, and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence - with features like Alexa Hunches that automatically control Smart Home devices.We are interdisciplinary and we act like it - we ask each other questions and value our different perspectives.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 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 computingPREFERRED QUALIFICATIONS- Experience using Unix/Linux- Experience in professional software developmentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Advertising is looking for highly skilled and experienced software engineers to drive the development of next-generation solutions that enable advertisers to reach customers across our owned and operated sites, as well as other high-quality publisher sites on the web, and on millions of desktops, mobile devices, and connected TV platforms. Our mission is to offer the world's most customer-centric advertising solutions, leveraging our unique datasets, AI/ML technologies, and AWS infrastructure.Amazon's DemandTech Platform is the company's programmatic advertising product, supporting campaigns spanning Display, Video, and Audio across Amazon properties (e.g., Amazon.com, Prime Video, Freevee, Twitch, and Amazon Music) and tens of thousands of third-party websites and applications. We are seeking candidates who wish to join a team focused on building large-scale systems that integrate data from multiple sources to provide unique and impactful advertising products.Amazon DemandTech is seeking an experienced Senior Software Engineer to join the Maestro ML platform - Training team. In this role, you will be responsible for building and scaling AI/ML infrastructure for real-time bidding. The target systems require high availability and will handle state of the art model training leveraging vast amount of advertising data. Working closely with other engineers and scientists, you will have the opportunity to contribute to the long-term architectural vision. You will develop and maintain scalable software solutions supporting data pipelines, analytical tools, and machine learning infrastructure. You will collaborate with data scientists, analysts, and product managers to deliver production-grade software. Ideal candidates have strong technical skills, experience in building reliable software, and can effectively operate in a dynamic environment.Key job responsibilities- Design and develop scalable software systems and data infrastructure to address business challenges.- Implement efficient and robust services to support ML model training, and deployment.- Collaborate with scientists and analysts to operationalize machine learning models and integrate them into production systems.- Conduct thorough code reviews, ensuring reliability, efficiency, and maintainability of solutions.- Develop and run regular A/B testing infrastructure, ensuring accuracy and scalability in experiments.- Provide technical guidance and mentorship to other software development engineers on the team. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalent- Experience with popular deep learning frameworks such as TensorFlow and PyTorch.- Experience in professional software development and large-scale distributed systems- Proficiency in programming languages such as Java, Rust, C++ or similar.- Proficiency in scripting language such as Python or similar.- Experience with large-scale data processing technologies (e.g., Spark, Hadoop).- Solid understanding of software development best practices, including code quality, version control, testing, and deployment.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.