Careers

Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like Echo, Fire Tablets, Fire TV, and other consumer devices. We are looking for exceptional scientists to join our Applied Science team to help build industry-leading technology with multimodal language models for various edge applications. Key job responsibilities - Collaborate with cross-functional engineers and scientists to advance the state of the art in multimodal model evaluations for devices - Invent and develop novel multimodal evaluation benchmarks against product use cases - Design and develop tools for human-in-the-loop model evaluation experiments - Partner with engineering teams to integrate evaluation methods across the deployment pipeline - Work closely with scientists, compiler engineers, data collection, and product teams to advance evaluation methods A day in the life As an Applied Scientist with the Silicon and Solutions Group Edge AI team, you'll contribute to innovative methods for evaluating new product experiences, conduct experiments, explore new algorithms, and discover ways to enrich our customer experiences. You'll have opportunities to collaborate across teams of engineers and scientists to bring algorithms and models to production. About the team Our Edge AI science team brings together our unique skills and experiences to deliver state-of-the-art multimodal AI models that enable new experiences on Amazon devices.

MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Data Scientist II Job Location: San Diego, California Job Number: AMZ9085098 Position Responsibilities: Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production. 40 hours / week, 8:00am-5:00pm, Salary Range $156,811/year to $184,000/year. 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, visit: https://www.aboutamazon.com/workplace/employee-benefits. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000

MULTIPLE POSITIONS AVAILABLE Employer: AMAZON WEB SERVICES, INC. Offered Position: Data Scientist III Job Location: Herndon, Virginia Job Number: AMZ9402057 Position Responsibilities: Own the data science elements of various products to help with data-based decision making, product performance optimization, and product performance tracking. Work directly with product managers to help drive the design of the product. Work with Technical Product Managers to help drive the build planning. Translate business problems and products into data requirements and metrics. Initiate the design, development, and implementation of scientific analysis projects or deliverables. Own the analysis, modelling, system design, and development of data science solutions for products. Write documents and make presentations that explain model/analysis results to the business. Bridge the degree of uncertainty in both problem definition and data scientific solution approaches. Build consensus on data, metrics, and analysis to drive business and system strategy. 40 hours / week, 8:00am-5:00pm, Salary Range $159,200/year to $215,300/year. 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, visit: https://www.aboutamazon.com/workplace/employee-benefits. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000

We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Austin, TX, USA | Herndon, VA, USA | New York, NY, USA | Seattle, WA, USA At AWS Security, we're on a mission to revolutionize how we manage security vulnerabilities at scale for host operating systems and third party software. We're seeking a Senior Applied Scientist specializing in generative AI to join our team and lead the charge in developing provable security solutions that protect our customers and empower our builders. In this role, you'll be at the forefront of addressing one of the most critical challenges in cloud security today: managing security risks due to vulnerable code in host operating systems or third party software. With the increasing frequency and sophistication vulnerabilities, your work will be crucial in safeguarding AWS environments against vulnerabilities that can arise from external components integrated into our infrastructure. You'll leverage your expertise in generative AI and machine learning to develop innovative approaches for identifying, assessing, and remediating security risks in third-party software. Your solutions will help bridge the gap between rapid innovation and robust security practices, ensuring that the software packages our builders use are not only efficient but also comply with AWS security standards. As a key member of our team, you'll collaborate closely with cross-functional teams to integrate your scientifically-validated security measures into existing workflows. Your work will directly impact AWS's ability to respond quickly and efficiently to vulnerabilities, addressing challenges such as package naming ambiguity between internal and external sources. We're looking for someone who can think strategically about both mid-term tactical improvements and long-term security innovations. You'll be instrumental in establishing a data-driven decision framework that will guide our security measures, ensuring they're not only effective but also optimized for builder efficiency. Your role extends beyond just technical innovation. As a senior member of the team, you'll be a thought leader in the field of AI-driven security, contributing to the broader Amazon Science community and potentially publishing your findings in top-tier scientific venues. You'll also mentor team members, sharing your expertise and helping to cultivate the next generation of security innovators at AWS. This position offers a unique opportunity to make a substantial impact across AWS, contributing to the overall resilience and trustworthiness of our security programs. Your work will be central to maintaining customer trust and delivering secure, delightful customer experiences across all of Amazon's products and services. If you're passionate about solving complex challenges, have a deep understanding of generative AI and machine learning, and are excited about the prospect of shaping the future of cloud security, we want to hear from you. Join us in our mission to set new standards for security through AI innovation at Amazon. Key job responsibilities 1. Lead research and development of generative AI solutions to address security challenges in Vulnerability Management. 2. Develop and implement data-driven decision frameworks to analyze patterns in the package environment and quantify the impact of security improvements on builder productivity. 3. Collaborate closely with cross-functional teams to integrate scientifically-validated security measures into existing workflows. 4. Design and conduct experiments to solve complex security problems 5. Develop scalable, AI-driven solutions to efficiently respond to vulnerabilities in software packages. 6. Create and implement long-term strategic plans for integrating generative AI into AWS security practices. 7. Publish research findings in scientific venues and contribute to the broader Amazon Science community. 8. Mentor team members and provide expertise on a range of machine learning topics related to security. A day in the life You will be joining the AWS Vulnerability Management (AVM) team, focusing on vulnerability remediation at the host operating systems and third party software. We must scale through utilization of Amazon AI tooling and machine learning modeling. Your day to day is solve security problems that causes builders not to patch (or update software) in time, and how we leverage data we have (or need) to build security solutions to resolve these problems. About the team Diverse Experiences Amazon Security 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 Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & 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, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Data Scientist II Job Location: Seattle, Washington Job Number: AMZ9084921 Position Responsibilities: Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production. Position Requirements: Master’s degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and one year of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master’s degree and one year of experience. Must have one year of experience in the following skill(s): (1) building statistical models and machine learning models using large datasets from multiple resources; (2) writing SQL scripts for analysis and data migration; and (3) applying specialized modelling software including R, Python, or MATLAB. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation 40 hours / week, 8:00am-5:00pm, Salary Range $136,000/year to $184,000/year 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, visit: https://www.aboutamazon.com/workplace/employee-benefits.#0000

MULTIPLE POSITIONS AVAILABLE Employer: AMAZON WEB SERVICES, INC. Offered Position: Applied Scientist II Job Location: New York, New York Job Number: AMZ9441967 Position Responsibilities: Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and five years of progressive post-baccalaureate research or work experience in the job offered or a related occupation as equivalent to the Master's degree and one year of research or work experience. Must have one year of research or work experience in the following skill(s): (1) programming in Java, C++, Python, or equivalent programming language; and (2) conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. 40 hours / week, 8:00am-5:00pm, Salary Range $172,400/year to $223,400/year. 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, visit: https://www.aboutamazon.com/workplace/employee-benefits.#0000

MULTIPLE POSITIONS AVAILABLE Employer: AMAZON DEV CENTER U.S., INC. Offered Position: Data Scientist III Job Location: Seattle, WA Job Number: AMZ9441925 Position Responsibilities: Own the data science elements of various products to help with data-based decision making, product performance optimization, and product performance tracking. Work directly with product managers to help drive the design of the product. Work with Technical Product Managers to help drive the build planning. Translate business problems and products into data requirements and metrics. Initiate the design, development, and implementation of scientific analysis projects or deliverables. Own the analysis, modelling, system design, and development of data science solutions for products. Write documents and make presentations that explain model/analysis results to the business. Bridge the degree of uncertainty in both problem definition and data scientific solution approaches. Build consensus on data, metrics, and analysis to drive business and system strategy. Position Requirements: Master's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science or a related field and two years of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and two years of experience. Must have one year of experience in the following skills: (1) building statistical models and machine learning models using large datasets from multiple resources; (2) building complex data analyses by leveraging scripting languages including Python, Java, or related scripting language; and (3) communicating with users, technical teams, and management to collect requirements, evaluate alternatives, and develop processes and tools to support the organization. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. 40 hours / week, 8:00am-5:00pm, Salary Range $162,054/year to $215,300/year. 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, visit: https://www.aboutamazon.com/workplace/employee-benefits.#0000

Amazon's Customer Experience and Business Trends (CXBT) is looking for an Applied Scientist to help shape the development and evaluation of agentic systems at Amazon. Our team is dedicated to improving Amazon’s technical products through evaluating the end-to-end customer experience. Our team’s mission is to constantly challenge the status quo and drive innovation to improve customer experience. We are working on development of multi-agent architecture systems as well as developing methodologies for their evaluations. In addition, we are building services to capture customer insights from a wide array of inputs. This role requires an expert in the areas of GenAI and machine learning with a keen interest in research. The ideal candidate will have experience with deep learning models for natural language processing tasks. A successful candidate will have a passion for clarity, be a self-starter comfortable with ambiguity, have strong attention to detail, be able to work in a fast-paced and entrepreneurial environment and be driven by a desire to innovate. Given the complex nature of the questions we are working on, the ideal candidate will be relentlessly curious and be able to/be interested in having the business conversation underlying the data. Key job responsibilities - Adapt and develop new science methodologies to accelerate and advance development and evaluation of agentic systems - Publish and present your work at internal and external scientific venues in the fields of ML. - Collaborate with scientists, engineers, and product managers to design and implement science focused systems - Proficiency in model development, validation and implementation for NLP applications - Providing technical and scientific guidance to your team members - Excellent verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts A day in the life As a 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 and agentic systems giving you a real sense of ownership. You'll research, design and build new methodologies to evaluate CX of agentic systems. Besides theoretical analysis and innovation, you will work closely with talented engineers and put your algorithms and models into practice. About the team Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings – for almost every business at Amazon – for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds – including: Scientists, Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Business Intelligence Engineers, Business Analysts, Risk Managers, and more.

Are you a passionate scientist in the computer vision area who is aspired to apply your skills to bring value to millions of customers? Here at Ring, we have a unique opportunity to innovate and see how the results of our work improve the lives of millions of people and make neighborhoods safer. As an Applied Scientist, you will work with talented peers pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors. This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work at scale. This position requires experience with developing Multi-modal LLMs and/or Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms. Key job responsibilities - Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications. - Research and implement the state-of-the-art computer vision and Vision Language models algorithms. - Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring devices - Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors.

Sponsored Products and Brands is seeking a single-threaded leader to drive SP Advertiser Growth. This role will own the systems, models and teams that help SP's advertising customers across 22 global marketplaces, including all recommendations (keywords, products, audiences), suggestions (bids, budgets), defaults (tailored campaigns, consolidated recommendations), controls (targeting, bid, budget), and optimization (proxy-bidding, rules, helping with unhealthy inventory, new product launch). They will lead a high-performing organization of 115 builders across engineering, science, and product, and lead new seed programs that have yet to be staffed. In this role, the leader will own the APIs that deliver recommendations and optimizations to advertisers - whether directly through the Amazon Advertiser Console, via sellers/vendor console, or through sales teams, external partners, tool providers, and agencies, reaching all SP advertising customers WW. The leader will coordinate across Demand teams including Sales, through sales with external partners/tool providers/agencies, and Advertiser Trust, through all advertiser-facing policies. The leader will own developing new programs and initiatives such as a front-end experience for full-funnel advertising across Sponsored Products and Sponsored Brands - bridging upper, mid, and lower funnel SP and SB products, and LLM based solutions to simplify advertiser inputs and improve campaign outcomes through deeper advertiser understanding. This is a high-impact, high-visibility role that blends technical leadership, product thinking, customer obsession, and cross-functional leadership - ideal for a leader ready to help invent the future for our SP Advertising customers!