Palo Alto

We are Stores Foundational AI - M5 team, and we build LLM foundation models that serves a broad spectrum of areas in shopping. Imagine every shopping experience you have on Amazon has our models in the backend. We’re working to improve shopping on Amazon using LLMs, and are searching for a science leader who is passionate about technology, innovation, customer experience, and ready to make a lasting impact on the industry. You'll be working with talented scientists and engineers to innovate on behalf of our customers. You will lead a high performing team to work on cutting edge LLM technologies that makes broad customer impact. If you're fired up about being part of a dynamic, data driven team, then this is your moment to join us on this exciting journey!BASIC QUALIFICATIONS- 2+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Knowledge of machine learning approaches and algorithms ...

We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesWe seek strong Applied Scientists with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesWe seek strong Applied Scientists with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

The 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 responsibilitiesCollaborate with cross-functional teams to identify requirements for ML model development, focusing on enhancing mission understanding through innovative AI techniques, including retrieval-Augmented Generation or LLM in general. Design and implement scalable ML models capable of processing and analyzing large datasets to improve search and shopping experiences. Must have a strong background in machine learning, AI, or computational sciences.Lead the management and experiments of ML models at scale, applying advanced ML techniques to optimize science solution.Serve as a technical lead and liaison for ML projects, facilitating collaboration across teams and addressing technical challenges. Requires strong leadership and communication skills, with a PhD in Computer Science, Machine Learning, or a related field.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 with Large Language Models- Experience programming in Java, C++, Python or related language ...

Amazon is the 4th most popular site in the US. Our product search engine, one of the most heavily used services in the world, indexes billions of products and serves hundreds of millions of customers world-wide. We are working on a new initiative to transform our search experiences into GenAI powered conversational shopping experiences. We’re looking at every aspect of search, from query understanding to front-end UX, ranking and relevance, indexing and tiering and asking how we can make big step improvements by leveraging the power of Large Language Models (LLM). This is a rare opportunity to develop LLM applications to solve search problem of this magnitude. We are looking to hire Software Development Engineers (SDEs) and ML Applied Scientists at all levels, with experience in LLMs, Search, Personalization, NLP, Distributed Systems, ML, DL and UI Design. You will be working alongside world-class scientists and engineers to build next generation search systems and will be able to deploy your ML models into production. Our team is proud of its collaborative and open research environment, where long term thinking and risk taking are highly rewarded. We value academic collaborations and encourage our scientists and engineers to participate and publish in top conferences such as NIPS, ICML, KDD, SIGIR and WWW.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

At Amazon's Stores Foundational AI - M5 team, we're revolutionizing e-commerce through advanced Large Language Models (LLMs). Our models power various customer interactions across Amazon's platform, enhancing the traditional and conversational shopping experience at every turn. We're looking for an exceptional science leader to spearhead our AI innovation efforts. In this role, you'll lead a high-performing team of scientists, developing cutting-edge LLM technologies that directly impact customer experiences. You'll collaborate with cross-functional teams, identifying new AI opportunities and translating research into practical, scalable solutions. As a leader, you'll mentor team members, fostering a culture of excellence and continuous learning. Your ability to inspire and guide technical experts will be crucial in pushing the boundaries of AI-driven e-commerce. This position offers a unique opportunity to shape the future of online shopping, making a lasting impact on millions of customers worldwide. If you're passionate about emerging technology, driven by customer-centric innovation, and ready to make a significant industry impact, we want to hear from you. Join us in transforming the e-commerce landscape through the power of AI.BASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- At least 5 years experience in building large-scale machine learning and solutions at scale- At least 2 years programming experience in Java, Python, Scala, C++, or other mainstream language- Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization ...

Amazon's Search Science and AI team creates ML algorithms that connect customers around the world with products that delight them. We harness cutting-edge ML at Amazon's scale to make the customer experience easier and smoother. Our impact is large. For example, if your innovations save even 1 minute per customer per year, then for every 100 million customers, you save approximately 190 years of human effort.Key job responsibilitiesYou will build search ranking systems that work for thousands of product types, billions of queries, and hundreds of millions of customers spread around the world. As an Applied Scientist you will find the next set of big improvements to ranking, leverage large datasets to understand the complexities of customer behavior, and get your hands dirty by building ML models that work at Amazon scale. In addition to typical topics in ranking, we are particularly interested in exploration techniques and reinforcement learning.A day in the lifeOur primary focus is improving search ranking systems. On a day-to-day this means building ML models, analyzing data from your recent A/B tests, and guiding teams on best practices. You will also find yourself in meetings with business and tech leaders at Amazon communicating your next big initiative.About the teamWe are a team consisting of ML scientists and software engineers. Our interests and activities span machine learning for better ranking, statistics for better decision making, and infrastructure to make it all happen at scale and efficiently.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

The Visual Shopping (Videos) team is on a mission to revolutionize the customer shopping journey by integrating informative and engaging product video contents. We're dedicated to making shopping more immersive and effortless, empowering customers to discover and evaluate products like never before. We aim to understand and recommend the most relevant video content to customers, aligning seamlessly with their shopping intents. To achieve this vision, we're seeking an Applied Scientist with deep expertise in Machine Learning, particularly in Deep Learning, Recommender Systems, or Computer Vision. By joining our team, you'll have the opportunity to shape the shopping experience for millions of Amazon customers, redefining what's possible through the strategic integration of Video Understanding, Retrieval, and Generation solutions throughout the customer journey.Key job responsibilitiesAs an Applied Scientist on the Visual Shopping team, you will:· Work backwards from customer needs to investigate and solve key problems and challenges in video understanding, video retrieval, and video recommendation.· Innovate and leverage state-of-the-art machine learning science advancements to bring novel experiences to customers.· Research and develop scalable machine learning solutions for millions of customers.About the teamThe Amazon Visual Shopping team aims to revolutionize the way customers shop online. Through innovative solutions like Amazon Lens, More Like This, Augmented Reality(AR) View in Your Room, and Videos in Search, we empower customers to effortlessly discover and evaluate items that truly resonate with them. Our Visual Search capabilities enable customers to shop directly from images, seamlessly translating visual inspiration into purchasing intent. Our AR solutions allow customers to visualize products in their space, building confidence in their purchasing decisions. Our Videos solutions equip customers with the information they need to explore and understand products through relevant product videos.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- 3+ years of building machine learning models for business application experience- Skill and experience with deep learning and/or computer vision. ...

Are you passionate about helping people solve IT problems? Love being a part of an exciting and innovative environment? Join Amazon IT Services! We’re looking for people who strive to “Work Hard. Have Fun. Make History.”Amazon is seeking bright, adaptable, and hardworking applicants to join our IT Services organization as an IT Support Engineer. IT Support Engineers work with Amazonian's to provide and support the IT equipment and services that are used every day. We treat Amazon employees as our customers and provide timely, accurate, and professional assistance.Amazon's IT Services Support is the first point of contact for technical service requests for Amazon Corporate and its subsidiary employees worldwide. The successful IT Support Engineer will be customer focused and motivated by team success. You will be innovative, energetic, and able to adapt to new processes and procedures quickly while dealing with a high volume of requests. You will also be committed, flexible, and have demonstrated ability to maintain high levels of productivity while maintaining quality support.Key job responsibilitiesProvide comprehensive technical support to Amazon Corporate employees.Occasional travel to other US cities as required.Look for innovative process improvements and participate on teams to implement change.Acquire and maintain current knowledge of relevant IT policies in order to provide technically accurate solutions to users.Troubleshoot/support escalations for customer via tickets, beyond the scope of front-line support.Create and maintain documentation.Ticket queue management and ticket auditing across North America.Handle to completion requests and technical project work.Assist with activities to triage and escalate any system or network outage to reduce downtime.Handle escalations from Level 1 support.Follow, update and create standard operating procedures (SOP) to improve the teams' knowledge management.BASIC QUALIFICATIONS- 1+ years of Windows Server technologies: AD, DFS, Print Services, SCCM experience- 2+ years of troubleshooting in a multi-user high availability environment experience- 2+ years of networking (such as DNS, DHCP, SSL, OSI Model, and TCP/IP) experience- 3+ years of corporate setting Windows, Mac or Linux Operating systems support experience- 2+ years of supporting and maintaining a corporate network environment experience- High school or equivalent diploma ...

Amazon is among the top 10 most-visited website worldwide. Amazon's search experience is central to how hundreds of millions of customers shop using billions of queries to find products for sale. The scale and impact of Amazon Search is huge.Within the Amazon Search organization, the MIDAS (Metrics, Insights, Data Annotation for Search) team delivers high quality labeled data at scale in order to improve the search experience for shopping on Amazon through AI model training and evaluation as well as to produce metrics that measure our customer experiences. We focus on agility, linguistic expertise, high standards for data integrity, enabling self-service, and frugality of resources in order to meet or exceed our customers' expectations. We collaborate closely with several machine learning (ML) applied science, engineering, and product teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.The Language Engineer role in the MIDAS team owns the creation of the data annotation workflow, writing intuitive and labeler-friendly annotation guidelines, data wrangling and analysis, specifications for labeling UI templates, and reporting of labeled data quality metrics to deliver on internal customers' requirements and achieve the desired Amazon customer outcomes. In order to achieve high rates of accuracy and consistency in labeled data outputs, Language Engineers apply linguistic (i.e., semantics, syntax, pragmatics) and scripting expertise to overcome natural language processing and language understanding challenges.Key job responsibilities* Design and develop data annotation guidelines and workflows.* Manage and process large amounts of structured and unstructured data.* Adopt and design quality control metrics and methodology to evaluate the quality of data annotation.* Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation, audits and investigations on a periodic basis.* Handle annotation & data investigation requests from multiple stakeholders with high efficiency and quality in a fast-paced environment.* Collaborate with scientists, engineers, and product managers in defining metrics, guidelines, and workflows.* Initiate and contribute towards improvement projects, present solution proposals, and implement them.* Establish processes and mechanisms to onboard and train junior data associates on an ongoing basis.* Handle work prioritization and deliver based on business priorities.* Be flexible in changes to conventions deployed in response to customers’ requests and change workflows accordingly.BASIC QUALIFICATIONS* Bachelor’s or Master’s Degree in Linguistics, Computational Linguistics, Natural Language Processing (NLP), or other related field.* Relevant work experience of 5+ years.* Proficient in Python.* Knowledge of Regex, SQL, MS Excel, Git.* Ability to navigate a Unix terminal and use common command line tools.* Familiarity with annotation tools and workflows.* Excellent communication and strong organizational skills with a keen eye for details.* Comfortable working in a fast-paced, collaborative, and dynamic work environment.* Willingness to support several projects at one time and to accept reprioritization as necessary. ...

Amazon is among the top 10 most-visited website worldwide. Amazon's search experience is central to how hundreds of millions of customers shop using billions of queries to find products for sale. The scale and impact of Amazon Search is huge.Within the Amazon Search organization, the MIDAS (Metrics, Insights, Data Annotation for Search) team delivers high quality labeled data at scale in order to improve the search experience for shopping on Amazon through AI model training and evaluation as well as to produce metrics that measure our customer experiences. We focus on agility, linguistic expertise, high standards for data integrity, enabling self-service, and frugality of resources in order to meet or exceed our customers' expectations. We collaborate closely with several machine learning (ML) applied science, engineering, and product teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.The Language Engineer role in the MIDAS team owns the creation of the data annotation workflow, writing intuitive and labeler-friendly annotation guidelines, data wrangling and analysis, specifications for labeling UI templates, and reporting of labeled data quality metrics to deliver on internal customers' requirements and achieve the desired Amazon customer outcomes. In order to achieve high rates of accuracy and consistency in labeled data outputs, Language Engineers apply linguistic (i.e., semantics, syntax, pragmatics) and scripting expertise to overcome natural language processing and language understanding challenges.Key job responsibilities* Design and develop data annotation guidelines and workflows.* Manage and process large amounts of structured and unstructured data.* Adopt and design quality control metrics and methodology to evaluate the quality of data annotation.* Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation, audits and investigations on a periodic basis.* Handle annotation & data investigation requests from multiple stakeholders with high efficiency and quality in a fast-paced environment.* Collaborate with scientists, engineers, and product managers in defining metrics, guidelines, and workflows.* Initiate and contribute towards improvement projects, present solution proposals, and implement them.* Establish processes and mechanisms to onboard and train junior data associates on an ongoing basis.* Handle work prioritization and deliver based on business priorities.* Be flexible in changes to conventions deployed in response to customers’ requests and change workflows accordingly.BASIC QUALIFICATIONS* Bachelor’s or Master’s Degree in Linguistics, Computational Linguistics, Natural Language Processing (NLP), or other related field.* Relevant work experience of 5+ years.* Proficient in Python.* Knowledge of Regex, SQL, MS Excel, Git.* Ability to navigate a Unix terminal and use common command line tools.* Familiarity with annotation tools and workflows.* Excellent communication and strong organizational skills with a keen eye for details.* Comfortable working in a fast-paced, collaborative, and dynamic work environment.* Willingness to support several projects at one time and to accept reprioritization as necessary. ...

The Amazon Search Relevance team owns ranking relevant results when customers search for products on Amazon. Our systems and algorithms operate on one of the world's largest product catalogs, surfacing the right products - with a high relevance bar and strict latency constraints. We are looking for Machine Learning Engineer to join our Search MLOps team to help accelerate ML lifecycle automation and MLOps best practices adoption across all of CDO.This cross-functional team will focus on building state of the art ML automation features critical to CDO use-cases in close partnership with the AWS SageMaker team. As an engineer on this team you will be working closely with Senior Software Engineers in CDO and SageMaker to define common ML lifecycle best practices, and to design and build pioneering world-class ML automation features on top of SageMaker for multiple domains and use-cases. This is a unique opportunity to gain technical expertise in highly sought-after skills at Amazon scale, to learn SageMaker technologies, and to apply these skills to create production pipelines for the entire ML model lifecycle from training to inference. Your contributions will have a major impact by enabling, not only CDO orgs, but also external AWS customers who operate at Amazon scale. Our ideal candidate is collaborative, innovative, and interested in working on the intersection of Machine Learning, Software Engineering, and AWS ML architecture. Key job responsibilities1. Design and build scalable infrastructure that enables training, evaluating and deploying machine learning models over billions of collected historical data points2. Design and develop tools for monitoring the performance of machine learning models at scale3. Design and develop lineage and artifact tracking infrastructure for training data, ML models and experiments4. Design and develop reproducible ML Pipelines orchestrating various components for ML models.5. Embrace and champion engineering best practices within your group and beyond6. Produce clean, high-quality code, tests, and written documentationBASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language- Experience in machine learning, data mining, information retrieval, statistics or natural language processing ...

Amazon is hiring a Principal Applied Scientist (PAS) to join the Search and Conversational Shopping AI team. In this role, you will be responsible for the architectural design and technological advancements of the customer experience of Amazon Rufus, our next-generation, AI-driven search and shopping assistant. This innovative role focuses on developing innovative search and shopping experiences, utilizing large language models, generative AI, and advanced machine learning technologies.Key job responsibilitiesAs a Principal Applied Scientist in Search, you will possess deep expertise in machine learning and data science, with specializations in information retrieval, recommendations, ranking, large language models, and generative AI across various modalities. The role involves solution alignment across multiple partners, such as front-end, relevance, ranking, and personalization teams. You will collaborate with teams of scientists and engineers to translate business and functional requirements into concrete deliverables, leading strategic efforts to enhance upper funnel search customer experiences. You will design integrated solutions efficiently delivered across all contributing stakeholder teams, driving alignment among these tech teams in the short term and influencing their future roadmaps in the long term to support our experimentation roadmap. Responsible for overall solution quality, this role will focus on improving experimentation velocity and, in the future, facilitating partner development on upper funnel customer experiences. This role ensures we are building scalable solutions with smart checks on data quality centrally, navigating the ambiguity inherent in this new area. You will make critical judgements to select the best technical solutions for both short and long-term experimentation objectives, bringing clarity from ambiguity, structuring tradeoff decisions, and effectively communicating on technically contentious topics. Finally, you will engage with academic partners to augment our in-house talent with access to the latest research and expert mentoring.About the teamThe vision of the Search and Conversational Shopping AI Team is to revolutionize the search and shopping experience through technological innovations in advanced AI and machine learning. We focus on enhancing query understanding, navigational and upper funnel search, developing LLM-based AI assistants, and more. Our goal is to create intuitive, personalized search interfaces that seamlessly connect customers with products, enhancing satisfaction, engagement, and transforming e-commerce interactions.BASIC QUALIFICATIONS1. Graduate degree in Computer Science, Math, or a related field.2. Experience in developing AI, ML, and NLP systems, with a proven ability to deliver projects successfully.3. Skilled in managing large, cross-functional projects with evolving requirements from start to finish.4. Strong foundations in data structures, algorithm design, and complexity analysis.5. Ability to strategize for ML platforms focusing on recommender systems, ranking, and customer interaction features.6. Exceptional ability to understand customer needs, propose alternative technical and business solutions, and deliver on tight deadlines.7. Record of peer-reviewed scientific publications in applied science. ...

Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazon's Stores organization with a peak-jumping mission: we apply expertise in science and engineering to move from local to global optima in methods, models, and software. We pursue this mission by leveraging frontier science; collaborating with partner teams; and learning from the tools, experience, and perspective of others. We scale by solving problems, first in the small to prove concepts, and then in the large by building scalable solutions. We also help other teams within Amazon scale by hiring and developing the best and embedding them in other business units. In 2024, we are focused on economics and science in areas related to (1) improving delivery speed and lowering cost-to-serve, (2) seller fees and incentives, and (3) emerging machine learning using LLMs. We also have some ongoing and highly leveraged collaborations that help partner teams inside Amazon short-circuit months of R&D or otherwise look around corners. We are looking for a seasoned Applied Science leader to build and deliver cutting-edge science and engineering solutions to improve our Stores business. In this role, you will lead a team of scientists and engineers with backgrounds in machine learning, NLP, IR, statistics, and economics to identify bottlenecks in our business, conceive new ideas to overcome those challenges, and deploy scientific solutions in partnership with product teams. Your responsibilities include developing the scientific models, benchmarks, and services. Graduate education and hands-on experience in machine learning, optimization, causal inference, Bayesian statistics, deep learning, or other quantitative scientific fields is a must. To be successful in this role, you should be a quick learner and comfortable with a high degree of ambiguity.Key job responsibilitiesKnowledge of causal inference and forecasting models are preferred. Practical knowledge of how we can leverage Transformers, LLMs, or other deep learning techniques for a variety of applications is a must.BASIC QUALIFICATIONS10+ years of building machine learning models for business application experiencePhD, or Master's degree and 10+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learning ...

The Amazon Search team creates powerful, customer-focused search and advertising solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. This position will develop economic frameworks for selecting products into customer consideration sets, develop a theoretic framework of the search process and customer frictions that lends to policy evaluation, and create frameworks for coordinating product discovery with other marketplace decision systems like ordering, pricing, and delivery optimization.The ideal candidate will have outstanding Economics knowledge, demonstrated strength in practical and policy relevant structural econometrics, strong collaboration skills, proven ability to lead highly ambiguous and large projects, and a drive to deliver results. They will work closely with Economists, Data / Applied Scientists, Engineers, and Product leads to integrate economic insights into policy and production systems Familiarity with informational retrieval and recommender systems is a plus but not required.Key job responsibilitiesThis role is responsible for creating mechanisms (metrics, models, mechanism) that optimize search while accounting for effects on the entirety of the Amazon Stores. Some example projects include:* Develop an economic frameworks for selecting products into customer consideration sets. Utilizing demand estimation, internalizing spillovers (e.g. menu effects), and incorporating long term effects on customer beliefs. We want to embed economics into state of the art list-wise ranking models.* Develop a means of valuing newly launched products and how the impact all aspects of the experience (prices, brand awareness, or even referential utility).* Develop a theoretic framework of the search process with a valuation of customer frictions that lends to evaluation of changes in the experience (aka a “search/browse model”)* Create frameworks for coordinating product discovery with other marketplace decision systems like ordering, pricing, and delivery optimization.BASIC QUALIFICATIONS* PhD in Economics, Computer Science, or highly related field (Statistics, Finance, Math)* 10+ years of experience in industry, consulting, government, or academic research* Demonstrated expertise in structural econometrics * Experience with big data and machine learning or data science* Coding ability in a scripting language such as R or python or STATA ...

Amazon’s Advertising Technology team builds the technology infrastructure and ad serving systems to manage billions of advertising queries every day. The result is better quality advertising for publishers and more relevant ads for customers. In this organization you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world's leading companies.Amazon Publisher Services (APS) helps publishers of all sizes and on all channels better monetize their content through effective advertising. APS unites publishers with advertisers across devices and media channels. We work with Amazon teams across the globe to solve complex problems for our customers. The end results are Amazon products that let publishers focus on what they do best - publishing.The APS Publisher Products Engineering team is responsible for building cloud-based advertising technology services that help Web, Mobile, Streaming TV broadcasters and Audio publishers grow their business. The engineering team focuses on unlocking our ad tech on the most impactful Desktop, mobile and Connected TV devices in the home, bringing real-time capabilities to this medium for the first time.You will also drive the strategy for critical program support initiatives, ensuring stakeholders, engineering teams, and customers are building trustworthy solutions for business-critical decision-making.In this role, you will work closely with SDEs, FEEs, Data Engineers, BI Engineers, Data/Applied Science, and partnering with cross-functional product teams to deliver high-quality, scalable data products. You will also partner with business counterparts like BDs, AMs, SAs and other roles to help drive the customer facing advertising initiatives. You will assess risks, anticipate bottlenecks, provide escalation management, make tradeoffs, balance business needs versus technical constraints, and encourage risk-taking behavior to maximize business benefit. Successful candidates will have a technical background, be detail-driven, and possess excellent problem-solving abilities.Key job responsibilitiesKey responsibilities: • Coordinate the development timelines across several large engineering organizations to deliver on strict timelines• Work with cross functional product leaders to drive execution of an ambitious product roadmap• Be the voice of the team across multiple layers of the organization and drive multi-year planning activities.• Act as mentor and role model for other members of the teamBASIC QUALIFICATIONS- 7+ years of working directly with engineering teams experience- 7+ years of technical product or program management experience- 5+ years of software development experience- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems- Experience managing programs across cross functional teams, building processes and coordinating release schedules- Experience owning/driving roadmap strategy and definition ...

Principal Technical Program Manager - Amazon Core Search, Palo Alto, CA. Amazon Search creates customer-focused product search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our systems go to work. Our Search team designs, builds, and delivers high performance, fault-tolerant, scalable distributed search engine used by millions of Amazon customers every day. You will come with a desire to focus on delivering a state-of-the-art industry leading search platform. A solid track record in defining and executing on a large-scale, distributed systems and a relentless desire to improve customer experience are requirements for success in this role. As a Principal Technical Program Manager, you define the strategic vision for the search engine infrastructure that delivers delightful experience to our customers in their shopping mission. You will partner with business experts, data modelers, scientists, and engineers by leveraging new trends in Information retrieval, low latency and high throughput distributed systems, deep learning inference systems, and fault-tolerant application hosting frameworks. A successful candidate will be highly analytical, and will work with technical customers to identify and prioritize needs, able to effectively influence up and across the organization, and adept at synthesizing a variety of technologies and capabilities to deliver quality search experiences that customers love. As a single-threaded owner, you are trusted to operate with complete independence.Key job responsibilitiesKey Responsibilities: - Design and lead a multi­-year product roadmap, balancing short­ and long­-term goals to scale globally - Define creative, high quality, and clear roadmaps based on team strategy and vision - Develop detailed, crisp business requirements and user stories that can be used to create specifications and architecture for search engine infrastructure features - Partner with Engineering, Science, Operations, and partner teams to create best-in-class search solutions for customers - Analyze stakeholder feedback to identify key pain points - Build innovative concepts and successfully champion them through senior management and other teams - Manage bottlenecks, provide escalation management, anticipate and make trade-offs, balance the business needs versus technical constraints, and maximize business benefit while building resilient systems that power great customer experiences - Roll up sleeves as necessary to ensure projects stay on schedule and meet our high standards of qualityA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) PlanIf 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- 7+ years of technical product or program management experience- 10+ years of working directly with engineering teams experience- 5+ years of software development experience- Experience managing programs across cross functional teams, building processes and coordinating release schedules ...

The Amazon Search Ranking and Relevance team is responsible for helping customers find relevant products that meet their expectations in terms of price, quality, and convenience. Our goal is to make shopping easy and enable customers to shop with confidence.We are currently seeking a Principal TPM to join our team and utilize machine learning (AI, ML) to enhance the Amazon Search experience. The mission of this role will be to ensure that customers perceive Search as a trusted friend that directly answers their questions, assists them in exploring Amazon's extensive selection, and empowers them to shop with confidence, knowing that they have made the right choice.Key job responsibilitiesAs the Principal TPM for Search Ranking and Relevance, your role is to create and execute the vision and strategy for the Relevance team's new products. Your focus is on delivering excellent shopping experiences for customers by understanding their shopping intents and incorporating relevant features on the search page. The ideal candidate should have experience in a fast-paced environment and a strong bias for action.You will collaborate with global teams to identify and prioritize needs, influence the organization, and create high-quality search experiences. Your expertise in search engines and recommender systems will be crucial in expanding beyond the current offerings. Success in this role requires a customer-centric approach, innovative thinking, and effective communication.Working closely with a team, you will create scalable shopping experiences that contribute to a delightful shopping experience for Amazon customers. This is a technical role that may require a tech assessment.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) PlanIf 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 teamWithin the Search Relevance and Ranking team, our mission is to empower customers to shop effortlessly and confidently. We achieve this by providing relevant products and information through a well-organized interface. This is made possible by utilizing AI and ML models to gain deep insights into customer behaviors and preferences. By doing so, we ensure the delivery of the most relevant results that align with customer goals. Our access to a wealth of data enables us to create smarter and personalized experiences for both customers and selling partners using machine learning.Our team is known for its high motivation, collaborative culture, and genuine enthusiasm for the work we do. We uphold strong entrepreneurial values and maintain a proactive approach. In this role, you will address customer challenges, define a strategic vision, prioritize, and invest in innovative recommendation technology. Additionally, you will create innovative models and tailored search experiences globally and across all devices. This high-impact role requires creative thinking and enjoys strong executive support.As a leader, you will promote teamwork, collaboration, and commitment among diverse teams, ultimately delivering a satisfying customer experience. You will have full ownership, from strategy development to execution, performance assessment, and daily oversight of search relevance and ranking programs.BASIC QUALIFICATIONS- 7+ years of technical product or program management experience- 10+ years of working directly with engineering teams experience- 5+ years of software development experience- Experience managing programs across cross functional teams, building processes and coordinating release schedules ...

Amazon Advertising is hiring a Software Development Engineer to be part of our multi-petabyte core data team. In this role you will be responsible for the architecture, design and implementation of highly-scalable systems that provide availability, scalability and latency guarantees. In addition you will be expected to raise the standards of the team by mentoring junior engineers as well as defining and helping the team adhere to development standards. The right candidate will possess strong technical skills, experience developing and deploying medium to large distributed services. You must be able to thrive and succeed in an entrepreneurial environment. This means delivering despite ambiguity and being able to balance competing priorities. You are able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in, and get tasks done.You will need to communicate to a variety of technical and business stakeholders. The role requires inventing and simplifying to balance business growth with sustainable costs and operations. You must be able to take large, complex problems and break them down into smaller pieces, then deliver them in a timely and high-quality manner. About the teamThe Supply and Identity Data team builds petabyte-scale data systems that power critical advertising functions, including customer-facing features, machine learning processes, and financial reporting. We are expected to quickly, reliably, and cost effectively generate business value from a vast amount of input data. Put another way, our systems have to be fast and right at all times, even as the data volume and the variety of use cases increases. We are looking for a software development engineer with a passion for dealing with large scale datasets and high standards for engineering. Our systems are based on a blend of AWS, open-source, and third-party technologies.About the orgAmazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions—including sponsored, display, video, and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

We’re working to improve shopping on Amazon using the conversational capabilities of large language models and are searching for pioneers who are passionate about AI and innovation in a fast moving environment. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. Your focus will be in post-training problems and solutions including grounding, fine-tuning and personalization.Key job responsibilitiesAs a Sr. Applied Science, you will drive strategic investments in the applied science team while delivering impact in short term iterations. Your focus will be in post-training problems and solutions including grounding, fine-tuning and personalization. You will stay in tune with state of the art and mentor other applied scientists.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- Experience with neural deep learning methods and machine learning- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language ...