Seattle

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As a Senior Applied Scientist on this team, you will: - Be the technical leader in Machine Learning; lead efforts within this team and across other teams.- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.- Run A/B experiments, gather data, and perform statistical analysis.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Research new and innovative machine learning approaches.- Recruit Applied Scientists to the team and provide mentorship.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE 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 ...

The Sr. Applied Scientist will develop scientific algorithms, and deploy Large Language Model (LLM) solutions to improve the customer experience. The Sr. Applied Scientist will work closely with technology and product teams to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. As a Sr. Applied Scientist at Amazon you will apply scientific principles to support significant invention, develop code, and will be deeply involved in bringing their algorithms to production. You will also work on cross-disciplinary efforts with other scientists within Amazon.Key job responsibilities- Drive actions at scale to provide efficient solutions for customers using scientifically-based methods, LLM and decision making.- Helping to support production systems that take inputs from multiple models and make decisions in real time.- Automating feedback loops for algorithms in production.- Utilizing Amazon systems and tools to effectively work with terabytes of data.A day in the lifeIf 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!Amazon 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:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanAbout the teamThe Shipping Delivery and Support (SDS) Tech team’s mission is to enable successful deliveries through fast and efficient support experiences for our drivers, recipients, and associates. The science team utilizes advanced scientific methods, including LLM to support the business, and improve driver support quality and deliveries efficiency.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 ...

The Sr. Applied Scientist will be responsible for building advanced forecasting models for Amazon Devices using the latest machine learning and deep learning techniques. They will develop scalable, accurate predictive models to drive key decision making that supports critical business decisions (including pricing, promotions and supply chain) for all of Amazon consumer hardware product lines WW. Collaborating with cross-functional teams, they will integrate these models into operational systems to enhance data-driven decision-making and optimize business outcomes. A strong focus on applying cutting-edge ML/DL methodologies and a passion for innovation will be key to success in this role.Key job responsibilities- Build and implement advanced forecasting models using machine learning techniques such as transfer learning, neural networks, and time series models, driving decisions for pricing, promotions, and supply chain optimization.- Write efficient, scalable production code (Python or equivalent) to develop and productionalize models using frameworks like TensorFlow, PyTorch, and scikit-learn, collaborating with data engineers to ensure smooth deployment into real-time systems.- Continuously optimize models through techniques like hyperparameter tuning, feature engineering, and cross-validation, leveraging tools such as TensorFlow and Keras to improve performance and scalability.- Communicate complex model results and insights using data visualization tools (e.g., Matplotlib, Seaborn) and provide actionable recommendations to cross-functional teams for pricing, promotions, and supply chain strategies.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 ...

Are you excited about developing foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for collaborative scientists, engineers and program managers for a variety of roles.The Amazon Robotics software team is seeking an experienced and senior Applied Scientist to focus on computer vision machine learning models. This includes building multi-viewpoint and time-series computer vision systems. It includes building large-scale models using data from many different tasks and scenes. This work spans from basic research such as cross domain training, to experimenting on prototype in the lab, to running wide-scale A/B tests on robots in our facilities. Key job responsibilities* Research vision - Where should we be focusing our efforts* Research delivery – Proving/dis-proving strategies in offline data or in the lab* Production studies - Insights from production data or ad-hoc experimentation. 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: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 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- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- 5+ years of industry or academic research experience- Experience in building machine learning models for business application- Experience programming in Java, C++, Python or related language- 5+ years of industry or academic research experience in applied research and development in computer vision and machine learning models ...

The Amazon Search Mission Understanding (SMU) team is at the forefront of revolutionizing the online shopping experience through the Amazon search page. Our ambition extends beyond facilitating a seamless shopping journey; we are committed to creating the next generation of intelligent shopping assistants. Leveraging cutting-edge Large Language Models (LLMs), we aim to redefine navigation and decision-making in e-commerce by deeply understanding our users' shopping missions, preferences, and goals. By developing responsive and scalable solutions, we not only accomplish the shopping mission but also foster unparalleled trust among our customers. Through our advanced technology, we generate valuable insights, providing a guided navigation system into various search missions, ensuring a comprehensive and holistic shopping experience. Our dedication to continuous improvement through constant measurement and enhancement of the shopper experience is crucial, as we strategically navigate the balance between immediate results and long-term business growth.We are seeking an Applied Scientist who is not just adept in the theoretical aspects of Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs) but also possesses a pragmatic, hands-on approach to navigating the complexities of innovation. The ideal candidate will have a profound expertise in developing, deploying, and contributing to the next-generation shopping search engine, including but not limited to Retrieval-Augmented Generation (RAG) models, specifically tailored towards enhancing the Rufus application—an integral part of our mission to revolutionize shopping assistance. You will take the lead in conceptualizing, building, and launching groundbreaking models that significantly improve our understanding of and capabilities in enhancing the search experience. A successful applicant will display a comprehensive skill set across machine learning model development, implementation, and optimization. This includes a strong foundation in data management, software engineering best practices, and a keen awareness of the latest developments in distributed systems technology. We are looking for individuals who are determined, analytically rigorous, passionate about applied sciences, creative, and possess strong logical reasoning abilities.Join the Search Mission Understanding team, a group of pioneering ML scientists and engineers dedicated to building core ML models and developing the infrastructure for model innovation. As part of Amazon Search, you will experience the dynamic, innovative culture of a startup, backed by the extensive resources of Amazon.com (AMZN), a global leader in internet services. Our collaborative, customer-centric work environment spans across our offices in Palo Alto, CA, and Seattle, WA, offering a unique blend of opportunities for professional growth and innovation.Key job responsibilitiesIn this role you will leverage your engineering background and expertise to help build the next generation of our mission understanding models and data collection framework. On a day-to-day basis, you will:* Interface with Applied Scientists, Product Managers, and Program Managers to determine requirements for production systems* Analyze log data to determine future system design and configure parametersBuild scalable and production-ready data pipelines to extract features from petabytes of raw dataIntegrate models and algorithms in complex, real-time production systems on immense scale* Design and execute experiments to determine the impact of models and algorithms you intend to deploy in production* Run analysis reports of web-experiments to identify benefits and risk of launching the models and algorithms* Serve as a liaison to our customer/seller-facing partner teams in case of escalationsProject manage cross-functional Machine Learning initiativesBASIC 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 Large Language Models ...

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

Interested in solving challenging problems using latest developments in Large Language Models and Artificial Intelligence (AI)? Amazon's Consumer Electronics Technology (CE Tech) organization is redefining shopping experiences leveraging state of the art AI technologies. We are looking for a talented Sr. Applied Scientist with a solid background in the design and development of scalable AI and ML systems and services, deep passion for building ML-powered products, a proven track record of executing complex projects, and delivering high business and customer impact. You will help us shape the future of shopping experiences. As a member of our team, you'll work on projects that directly impact millions of customers, and selling partners every single day. This role will provide exposure to state-of-the-art innovations in AI/ML systems (including GenAI). Technologies you will have exposure to, and/or will work with, include AWS Bedrock, Amazon Q, SageMaker, and Foundational Models such as Anthropic’s Claude / Mistral, among others.The types of initiatives you can expect to work on include:- Developing personalized recommendation systems that help customers find the right CE products for their needs.- Creating high quality educational content leveraging complex AI techniques to simplify complex product information.- Building intelligent automation solutions that generate customized bundles, gift guides and warranties personalization at scaleThis Sr. Applied Scientist is also expected to play a key role in raising the AI/ML skillset within the organization, so a passion for teaching/mentoring is important. This involves bringing deep AI/ML expertise to collaborations with other scientists, leading lunch & learn session, conducting tech talks, setting up regular office hours, evangelizing lessons learned & industry best practices, and more. The ideal candidate is one who possesses notable pedigree in ML-related academic work, along with deep, real-world, hands-on experience in executing/shipping AI-based products in a fast-paced setting. You will be looked up to as an ML expert that our organization’s leadership can rely on for guidance on AI/ML topics.Key job responsibilities- Design, implement, and productionalize AI/ML products at Amazon scale, in collaboration with other applied scientists and engineers, both within Consumer Electronics and more broadly across the Stores organization,- Develop ML/LLM workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure a high bar for the quality of architecture and design of our AIML systems and data infrastructure,- Leverage AWS AI services and other internal / publicly available external tools & services to accelerate our AI investments in CE Tech,- Be data-driven and possess a quantitative mindset. Grounded, detail-oriented, always backs up ideas with facts. Understand complex application data flows and bridge the gap between technical and business app requirement,- Identify state of the art models / solutions to enable new capabilities for code migration and code testing, drive down tech debt and increase operational efficiency,- Mentor other scientists, especially on AI/ML initiatives, and foster a culture of learning & collaboration. Provide thought leadership and hands-on support in selecting, defining, training and fine-tuning Large Language Models (LLMs), prompt engineering, and other GenAI efforts.BASIC 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 with neural deep learning methods and machine learning ...

Sr. Applied Scientist, Consumer Electronics Technology Job ID: 2865463 | Amazon.com Services LLC Interested in solving challenging problems using latest developments in Large Language Models and Artificial Intelligence (AI)? Amazon's Consumer Electronics Technology (CE Tech) organization is redefining shopping experiences leveraging state of the art AI technologies. We are looking for a talented Sr. Applied Scientist with a solid background in the design and development of scalable AI and ML systems and services, deep passion for building ML-powered products, a proven track record of executing complex projects, and delivering high business and customer impact. You will help us shape the future of shopping experiences. As a member of our team, you'll work on projects that directly impact millions of customers and selling partners every single day. This role will provide exposure to state-of-the-art innovations in AI/ML systems (including GenAI). Technologies you will have exposure to, and/or will work with, include AWS Bedrock, Amazon Q, SageMaker, and Foundational Models such as Anthropic’s Claude / Mistral, among others. ...

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers like Pieter Abbeel, Rocky Duan, and Peter Chen to lead key initiatives in robotic intelligence. As a Senior Applied Scientist, you'll spearhead the development of breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive technical excellence in areas such as perception, manipulation, science understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between state-of-the-art research and real-world deployment at Amazon scale.In this role, you'll combine hands-on technical work with scientific leadership, ensuring your team delivers robust solutions for dynamic real-world environments. You'll leverage Amazon's vast computational resources to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.Key job responsibilities- Lead technical initiatives in robotics foundation models, driving breakthrough approaches through hands-on research and development in areas like open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization- Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish- Guide technical direction for specific research initiatives, ensuring robust performance in production environments- Mentor and support fellow scientists while maintaining strong individual technical contributions- Collaborate with engineering teams to optimize and scale models for real-world applications- Influence technical decisions and implementation strategies within your area of focusA day in the life- Develop and implement novel foundation model architectures, working hands-on with our extensive compute infrastructure- Guide and support fellow scientists in solving complex technical challenges, from sim2real transfer to efficient multi-task learning- Lead focused technical initiatives from conception through deployment, ensuring successful integration with production systems- Drive technical discussions within your team and with key stakeholders- Conduct experiments and prototype new ideas using our massive compute cluster- Mentor team members while maintaining significant hands-on contribution to technical solutionsAmazon 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: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 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!About the teamAt Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team, led by pioneering AI researchers Pieter Abbeel, Rocky Duan, and Peter Chen, is building the future of intelligent robotics through ground breaking foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 5+ years of industry or academic research experience- Experience programming in Java, C++, Python or related language- 5+ years of building machine learning models or developing algorithms for business application experience- Experience in patents or publication at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL).- Extensive track record of leading technical projects.- Experience mentoring junior scientists / engineers.- Demonstrated expertise in deep learning and model development. ...

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.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.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 ...

Amazon continues to invest heavily in building our world class advertising business. Our products are strategically important to our Retail and Marketplace businesses, driving long term growth. We deliver billions of ad impressions and millions of clicks daily, breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and strong bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The Sponsored Products Monetization team is broadly responsible for pricing of ads on Amazon search pages, balancing short-term and long-term ad revenue growth to drive sustainable marketplace health. As a Senior Applied Scientist on our team, you will be responsible for defining the science and technical strategy for one of our most impactful marketplace controls, creating lasting value for Amazon and our advertising customers. You will help to identify unique opportunities to create customized and delightful shopping experience for our growing marketplaces worldwide. Your job will be identify big opportunities for the team that can help to grow Sponsored Products business working with retail partner teams, Product managers, Software engineers and PMs. You will have opportunity to design, run and analyze A/B experiments to improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact. More importantly, you will have the opportunity to broaden your technical skills in an environment that thrives on creativity, experimentation, and product innovation.Key job responsibilities- Lead science, tech and business strategy and roadmap for Sponsored Products Monetization- Drive alignment across multiple organizations for science, engineering and product strategy to achieve business goals- Lead and mentor scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers- Develop state of the art experimental approaches and ML models- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving- Research new and innovative machine learning approaches- Recruit Scientists to the team and provide mentorshipBASIC QUALIFICATIONS- 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 5+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

The Private Brands Discovery team designs innovative machine learning solutions to drive customer awareness for Amazon’s own brands and help customers discover products they love. Private Brands Discovery is an interdisciplinary team of Scientists and Engineers, who incubate and build disruptive solutions using cutting-edge technology to solve some of the toughest science problems at Amazon. To this end, the team employs methods from Natural Language Processing, Deep learning, multi-armed bandits and reinforcement learning, Bayesian Optimization, causal and statistical inference, and econometrics to drive discovery across the customer journey. Our solutions are crucial for the success of Amazon’s own brands and serve as a beacon for discovery solutions across Amazon.This is a high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and engineers. As a scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.. With a focus on bias for action, this individual will be able to work equally well with Science, Engineering, Economics and business teams. Key job responsibilities- Drive applied science projects in machine learning end-to-end: from ideation over prototyping to launch. For example, starting from deep scientific thinking about new ways to support customers’ journeys through discovery, you analyze how customers discover, review and purchase Private Brands to innovate marketing and merchandising strategies. - Propose viable ideas to advance models and algorithms, with supporting argument, experiment, and eventually preliminary results. - Invent ways to overcome technical limitations and enable new forms of analyses to drive key technical and business decisions. - Present results, reports, and data insights to both technical and business leadership. - Constructively critique peer research and mentor junior scientists and engineers. - Innovate and contribute to Amazon’s science community and external research communities.BASIC QUALIFICATIONS- 8+ years of building machine learning models for business application experience- 4+ years of applied research experience- PhD, or Master's degree and 5+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Are you interested in shaping the future of Advertising and B2B Sales? We are a growing science and engineering team with an exciting charter and need your passion, innovative thinking, and creativity to help take our products to new heights.Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!Within the Advertising Sales organization, we are building a central AI/ML team and are seeking top science talent to build new, science-backed services to drive success for our customers. Our goal is to transform the way account teams operate by creating actionable insights and recommendations they can share with their advertising accounts, and ingesting Generative AI throughout their end-to-end workflows to improve their work efficiency.As a part of our team, you will bring deep expertise in quantitative modeling (forecasting, recommender systems, reinforcement learning, causal inferencing or generative artificial intelligence) to build and refine models that can be implemented in production. You will be a thought leader as we chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers. As a senior lead, you will have the excitement to take iterative approaches to tackle big, long-term problems.Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon's Retail and Marketplace businesses. We deliver billions of ads impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences; this is your opportunity to work within the fastest growing businesses across all of Amazon! Define a long-term scientific vision for our advertising sales business, driven from our customers' needs, translating that direction into specific plans for scientists, engineers and product teams. This role combines scientific leadership, organizational ability, technical strength, product focus, and business understanding.Key job responsibilities- Conceptualize and lead state-of-the-art research on new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of the Ad Sales business- Guide the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects- Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities- Run regular A/B experiments, gather data, and perform statistical analysis- Work closely with software engineers to deliver end-to-end solutions into production- Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and servingAbout the teamSales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state-of-the-art of AI/ML services. Sales AI is investing in a range of sales intelligence models, including the development of advertiser insights, recommendations and Generative AI-powered applications throughout account team workflows.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 ...

Job ID: 2846077 | Amazon.com Services LLC Are you looking to build and scale a new and growing business with Amazon? If so, you might be interested in this role with Amazon Freight.Amazon Freight is a startup business within Amazon focused on developing an industry-leading transportation offering to provide external freight Customers access to the world-class network and freight services currently used to facilitate Amazon’s own freight movements. Our freight offerings/portfolio ensures our Customer’s freight is moved with the highest level of service and quality at a competitive price across multiple modes of transportation, including truckload, less-than-truckload, and intermodal. In doing this, Amazon is deeply studying customer shipping needs and building innovative, market-leading solutions that will organically attract customers towards our services.We are seeking a Senior Business Intelligence Engineer who is passionate about leveraging data to deliver actionable insights for Amazon Freight. Our ideal candidate is someone who has strong technical and analytical skills, enjoys building a new business and the ambiguity that comes with that. You should thrive and succeed in an entrepreneurial environment and won't be hindered by ambiguity. If you enjoy innovating, thinking big and want to contribute directly to the success of an industry changing business, you may be a prime candidate for this position.Key job responsibilities: ...

The Seller Insights and Planning team’s mission is to create an ecosystem within Fullfilled By Amazon (FBA) where sellers can thrive and delight customers. We achieve this through eliminating defects that increase seller costs, planning our investment strategy into under-penetrated segments, and orchestrating multi-year worldwide initiatives that span across business, technology and operations. As a Sr Business Analyst, you will play a pivotal role in converting data into actionable business insights that solve complex, high-impact problems, and enhance the success of WW FBA sellers. By leveraging data, you drive operational efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of sellers. This role requires you to present complex information in an accessible format to leadership, answering key business questions. Beyond executing required skills, you will also influence, educate, and drive results in a fast-paced, ambiguous environment. Key job responsibilities- Proactively evaluate WW FBA business performance to identify areas of opportunity, define the analytical requirements needed for further deep dive, and present summarized findings to senior leadership. - Partner with WW FBA stakeholders to develop and align on business metrics, automated reporting structures, and process improvements to meet business requirements. - Aggregate data from multiple sources related to WW FBA seller performance, customer feedback, and operational metrics and compile it into a digestible and actionable format.- Directly perform adhoc analysis to determine the root cause issues of ambiguous systemic challenges at the request of senior leadership. Participate in strategic and tactical planning discussions. A day in the lifeBachelor's degree in a quantitative field 5+ years of writing advanced SQL queries 5+ years of business analyst, data analyst or similar role experience5+ years of Excel (pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau or Power BI Experience defining requirements to achieve complex business solutionsAbility to transform data and metrics into visualizations and summaries for L10+ audiencesProficient written and verbal communication skills with comfortability presenting to L10+ audiencesBASIC QUALIFICATIONS- Bachelor's degree in business or analytical discipline- 5+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Experience defining requirements and using data and metrics to draw business insights- 5+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- 5+ years of business analyst, data analyst or similar role experience- Ability to transform data and metrics into visualizations and summaries for senior leader audiences ...

The Worldwide Amazon Stores (WWAS) and G&A HR Partner (HRP) team is seeking an experienced Sr. Business Analyst (BA) passionate about leveraging data to drive critical business decisions for senior leadership. As a Sr. BA, you will define and drive the organizational analytics strategy and deliver timely, accurate, and actionable insights, addressing novel questions for leaders. You will partner with senior leaders across Amazon to drive insights, align scalable metrics, and track measurable results. In this role, you will independently source, analyze, model, present, and automate business data. You will continuously seek to optimize information flow processes and manage multiple related projects simultaneously.Key job responsibilities• Build data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data.• Create scalable, efficient, automated processes for data analyses, model development, model validation, and model implementation.• Understand the business at its core and use that understanding to generate various business insights.• Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership over next steps for their resolutions.• Generate business review metrics and documents to inform business and HR leaders on progress to people-related goals.• Lead projects or components from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.• Field and resolve various ad hoc analytical needs for the WWAS & G&A HRP leadership team.A day in the lifeAre you passionate about driving business & customer impact through thoughtful analysis and data-driven insights? Are you a deeply analytical individual who enjoys both operating autonomously and working with customers to transform how a business operates? Do you like the idea of seeing how your work impacts the bigger picture by influencing senior leadership teams? If so, come join the team as the Sr. BA for WWAS G&A HRP!About the teamThe WWAS G&A HRP team provides high judgment guidance and consultation on core and common processes to managers around the world. The Business Operations and Program Management team partners closely with the HRP senior leadership team to sure the organization continues to provide the best manager experience while operating as efficiently as possible. BASIC QUALIFICATIONS- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Bachelor's degree- Experience with Excel ...

The People Analytics, Insights, and Research (PAIR) team within PXT supports two of Amazon’s most exciting businesses: Devices & Services (the innovators behind Echo, Kindle, Ring and Kuiper Low-orbit satellite program) and Artificial General Intelligence (the team behind Generative AI foundational model development at Amazon). We are seeking an experienced, curious and motivated Sr. Business Analyst to act as our direct liaison and “Analyst in the Line” for several PXT organizations supporting Devices businesses. Our work is dedicated to empowering leaders and enabling action through data and science. In addition to standard reporting, we seek to leverage analytics to help our leaders focus their efforts in ways that will engage, retain and grow their team members to propel the business forward.Key job responsibilities- Interview stakeholders to gather business requirements and translate them into data and analytic deliveries to be actioned by yourself and the team.- Write Extract-Transform-Load (ETL) jobs using sql and Amazon Big Data Technology in order to create fully-automated business metrics and insights.- Own the design, development, and maintenance of business-driven people metrics, reports, analyses, dashboards, etc. in order to drive key business decisions- Monitor and troubleshoot operational or data issues in the data pipelines and work with appropriate upstream data owners to resolve.- Review and audit existing team-owned ETL jobs, SQL queries, permission structures and metrics presentation for accuracy and to maintain the highest standard.- Identify and recommend opportunities to Junior analysts in order to enhance capability and quality of team operations and outputs.- Learn and understand a growing range of Amazon and specifically PXT data resources and discover how, and when to use which data sets.A day in the life- Work closely with HR teams across the globe, building on your strong analytical skills to support multiple teams with regular production of metrics and analytics that are meaningful and scalable.- Use your skills in ETL, automation, and data visualization to provide actionable insights for our teams.- Develop, automate and maintain Monthly and Quarterly business reviews for leaders in supported businesses- Conduct and present statistical analysis, such as regressions, chi-square testing, and confidence intervals in order to distill decisions from large-scale data.- Establish scalable, efficient and automated processes for large scale data analyses- Provide ad-hoc or special project data analysis to PXT Business Partners and Devices Business Leaders that enable them to achieve their people KPIs, drive decision making and create new strategies.About the teamThe PAIR team is a multi-functional team which leverages diverse skills of engineers, analysts and researchers in order to curate an optimal set of tools and innovative products for our customers in PXT and in the D&S and AGI businesses.BASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

As a Senior Business Analyst of the worldwide Registration & Verification team, you will be responsible for driving insights into what makes sellers successful in the global ecosystem, and partnering with the product team to launch features at registration to help sellers be successful. The ideal analyst should have proven experience in business analysis and product development; should be able to work across teams and should be able to lead leadership reviews. Our ideal candidate is a self-starter, comfortable working through ambiguity, conceptualizing and leading complex initiatives from end to end, and has an entrepreneurial spirit. In addition to collaborating with many stakeholders internally and externally, this role requires working through ambiguity, demonstrating good judgment under pressure and adaptability to thrive in a fast-paced, dynamic environment.Key job responsibilitiesAs a Senior Business Analyst of the worldwide Registration & Verification team, you will be responsible for driving insights into what makes sellers successful in the global ecosystem, and partnering with the product team to launch features at registration to help sellers be successful. The ideal analyst should have proven experience in business analysis and product development; should be able to work across teams and should be able to lead leadership reviews. Our ideal candidate is a self-starter, comfortable working through ambiguity, conceptualizing and leading complex initiatives from end to end, and has an entrepreneurial spirit. In addition to collaborating with many stakeholders internally and externally, this role requires working through ambiguity, demonstrating good judgment under pressure and adaptability to thrive in a fast-paced, dynamic environment. A day in the lifeDevelop a deep understanding of Registration and Verification team's data sources and know exactly how, when, and which data to use to solve particular business problems using SQL.Design, build and automate SQL reporting and dashboards and AI topics to scale and support business needsWork with stakeholders to gather data and metrics requirements and drive analytics projects to help solve complex challenges.Design, implement, and support key datasets that provide structured and timely access to actionable business/product information.Identify, develop, manage, and execute analyses to uncover areas of opportunity and present recommendations that will shape the future of the registration and identity verificationProactively identify problems and opportunities and perform root cause analysis/diagnosis leading to significant business impact.Develop performance dashboards that encompass key metrics to be reviewed with senior leadership.Manage numerous requests concurrently and strategically, prioritizing when necessary.About the teamHere at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.BASIC QUALIFICATIONS- 8+ years of business or financial analysis, product costing, procurement, or a quantitative role experience- 8+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders- strong understanding of statistics and its application in business/product setting. ...

Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online by giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Within Amazon, the Selling Partner Services’s (SPS) goal is to enable third-party Sellers of any size by helping them build the business they want. We are the Core Selling Partner Experience (CSPE) team which defines, implements, and enforces quality standards for all Amazon-built experiences for all SPs worldwide. Key job responsibilitiesTo support this vision, we are seeking a Business Analyst to build analytical tools that will ultimately be a key driver in driving the growth of the company. You will leverage our data to drive operational efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of Selling Partners. You will drive future solutions that will impact how we capture sentiment for new Selling Partners and delight our existing ones, and you'll have a lot of fun along the way!As you further your career as a Business Analyst at Amazon, you will focus on improving corporate reporting frameworks and data visualization. You will research performance data, discover and solve real world problems and build metrics and business cases to make strategic business recommendations. We are focused on your success and want to build and support passionate innovators within Selling Partner Services.Key job responsibilities• Lead the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc.• Partner with operations/business teams to consult, develop and implement KPI’s, automated reporting/process solutions, and process improvements to meet business needs.• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.• Prepare and deliver business requirements reviews to the senior management team regarding progress and roadblocks.• Participate in strategic and tactical planning discussions. Preparing and delivering business reviews to the senior management team regarding progress and roadblocks.• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USASunnyvale, CA, USABASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 5+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders ...

At Amazon, we're working to become Earth's most customer-centric company. To get there, we need exceptional leaders to join our team. That's where you come in.The Amazon Vendor Services (AVS) program supports our largest and most strategic brand partners, enabling them to maximize success on Amazon. This BA role sits with the AVS Central Program team, responsible for overseeing the strategic direction and driving consistency and efficient execution of the program vision and goals. We're looking for a Sr. Business Analyst to be a key part of this critical mission.In this role, you will:-Create foundational financial and business reporting, providing strategic insights into program trends-Build operational plans using scenario modeling and support exceptions management-Work closely with cross-functional teams including retail business, product, finance, and business intelligence engineeringThe ideal candidate will:Have a proven track record of end-to-end ownership and driving decisions with conviction in a fast-paced environmentBe highly autonomous and able to dive deep into data to create scalable, repeatable reportingOperate with a "business owner" mindset, optimizing for customer obsession and continuous improvement.We're looking for leaders who can dive deep into details and use those insights to identify the big picture opportunities. If that sounds like you, we'd love to talk.Key job responsibilitiesKey Job responsibilities include:-Forecasting and Scenario Modeling-Surfacing Business Insights-Defining Program Success Metrics -Maintaining Program Reporting-Managing Exception Requests About the teamAVS Central is a Product and Program team responsible for improving the value of the AVS offering. We work backwards from Amazon’s vendors, using robust mechanisms to collect vendor feedback and find ways to improve the AVS value proposition. We innovate on behalf of vendors by piloting and launching new service tiers, offering better data and insights, increasing speed-of-support, and partnering across teams to build new unique-to-AVS programs. AVS Central also builds and manages best practices for our AVS Customer Success (CSM) teams, ensuring each vendor is receiving consistent, industry leading service. In addition to innovating on behalf of enrolled vendors, AVS Central works to improve program efficiency – partnering across teams to streamline processes and deliver automation, allowing us to provide a higher level of service with less manual effort.BASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...