Palo Alto

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 ...

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 ...

We’re building a foundational LLM for Amazon Stores that fuses general world knowledge with Amazon e-commerce domain knowledge to provide new and improved shopping experiences for our customers. We 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, and engineers 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 responsibilitiesIn this role you will leverage your engineering background and expertise to help develop generative AI for shopping. On a day-to-day basis, you will:- Develop big data and machine learning pipelines to enable the training, evaluation, and deployment of large language models.- Create tooling to accelerate model experimentation and draw key insights from diverse aspects of model performance metrics- Interface with partner engineering teams, applied scientists, and product managers to define requirements for production systems, collaborate on science experimentation, and creating plan for deployment.- Move quickly and navigate ambiguity, make short-term and long-term trade offs, and deliver incrementally.- Work on a wide range of technologies and problems, from big data distributed computing, internal tooling to streamline machine learning operations, to prompt engineering.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- Experience in developing machine learning pipelines, developing large language model or natural language understanding models. ...

Amazon is one of the most popular sites 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.Within Amazon Search, the Data Science team brings expertise in constrained optimization, modeling data, and experimental methods. We partner with internal and external teams to bring create pioneering new insights, develop new measurement and testing methodologies, and hone optimization strategies. We ensure Search's systems, models, and teams properly optimizing over trade-offs in the function of the search experience. In addition to working with partners, we incubate new modeling techniques, and perform 'front line recon' on potential new models and tools. We are looking for a Senior Economist to independently leverage petabyte scale data, seek out opportunities, and deliver models, metrics, or insights that creates wins for customers.Key job responsibilitiesMeasure / Quantify / Expand- Design, size, and analyze field experiments at scale.- Apply econometric or statistical knowledge to improve Amazon Search (using machine learning techniques is a plus)- Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.- Analyze historical data to identify trends and support decision making.Explore / Enlighten- Formalize assumptions about how Amazon Search is expected to work.- Given anomalies, whether anecdotal or identified automatically, deep dive to explain why they happen, and identify fixes.Decide / Recommend- Build decision-making models and propose solution for the business problem you defined- Analyze A/B tests and extract understanding of customer behavioral responses- Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.- Utilize code (python or another object oriented language) for data analyzing and modeling algorithmAbout the teamThe mission of the Search Data Science team is to build a world class shopping experience that delights customers. We focus on the long term and big picture, ensuring that the search page is balancing strategic trade-offs. We bring to this effort expertise in constrained optimization, causal inference, and marketplace equilibrium effects. We build systems, metrics, and mechanisms to ensure that product decisions are scientifically sound. We develop models to estimate the downstream dollar value of the quality of the experience. We spend time on evaluating experiments to develop durable learnings.BASIC QUALIFICATIONS- PhD in economics or equivalent- Experience in building statistical models using R, Python, STATA, or a related software ...

The Search organization is looking for a passionate and innovative Software Development Engineer based in Palo Alto, to join our Search Client Services Engineering team. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Our Search team is made up of world-class Software Engineers, Designers, Data Scientists and Usability Researchers, working around the globe in a close-knit and highly collaborative environment. We build server-side and native applications and experiences across desktop, phone, tablet and other devices.If you have a solid track record in solving a problem end-to-end by designing and building a software to solve complex problem, and a knack for automating and simplifying processes leveraging software development skills, then we want to talk to you.In this role, you will be responsible for designing and developing internal tools and applications to solve complex business and operational problems to maximize the productivity of Search systems development, without introducing unnecessary cost or complication. You are expected to gain deep understanding of the Search Backend architecture and its configuration system, in order to translate business requirements to a technical specification and make necessary changes to the systems. A strong partnership and collaboration with the architects, the builders, and the tenants of the system will be required in order to succeed in this role.Key job responsibilities* Develop and maintain internal tools owned by the team, that helps improving productivity of developers inside/outside of Amazon Search* Make changes to the Search Engine configuration system to meet with business requirementsA day in the life* 40-50% of the time is used for project work* 20-30% of the time is used for weekly sprint task(s)* 10-20% of the time is used for on-call responsibility (weekly on-call rotation)* 5-10% of the time is used for regular meetings and 1:1sBASIC 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 ...

The Amazon Search team creates powerful, customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search service go to work. We design, develop, and deploy high performance, fault-tolerant, distributed search systems used by millions of Amazon customers every day. As a Business Intelligence Engineer in the Search Capacity team, you will: - Scale the Amazon Search service by working closely with service owners in engineering and operations to understand the service in depth and drive optimal scaling and capacity planning. - Identify and track key performance metrics around efficiency and costs. - Manage planning, ordering, and budgeting for hardware and other computational resources. - Develop and improve tools for automating the foregoing responsibilities wherever possible. - Analyze resource utilization and performance test data to identify variables impacting performance and scalability. Develop models for required hardware resources to meet current and future SLAs.BASIC QUALIFICATIONS- 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R) ...

In this role...In this role, you will be a senior member of the team, driving operational health of our systems. You will drive initiatives and identify recurring issues in our systems and help build more resilient infrastructure and monitoring setup. You will own campaigns related to improving our automated alerts and the on-call process. You will drive work related to companywide mandatory software upgrades, OS patching needs and create automation around such common asks for the team. You will build automation to determine health of our overall systems. We are looking for a person with a strong sense of ownership and a passion for delivering creative solutions for complex problems on an unprecedented scale. Successful candidate must be innovative, flexible, self-directed, and able to build high-performance, reliable, maintainable systems to monitor our customer facing applications and services. The candidate should be able to identify automation needs and build innovative scripts and automations to help the team make systems more maintainable. The candidate should be able to find ways to catch problems before they happen by actively keeping track of changes that are occurring outside our immediate team. The ability to function at a very high level in a fast-paced environment along with a team of very talented engineers is essential. If you enjoy working in a dynamic environment to deliver world class mission critical systems, this may be the career opportunity for you! Key job responsibilitiesKey Job Responsibilities* Operational Excellence (OE): You’ll lead this charter for the team by introducing mechanisms, processes and advocating for OE culture with the objective of reducing and eliminating operational load. You will help the team handle things before they become problems. You will examine high severity events and prevent their recurrence. You will establish OE program to identify and drive resolution for team specific, cross-service and inter-service issues. You will introduce, review and own operational metrics/goals and be responsible for Service Level Objectives across Visual Shopping org.* Systems Development: We develop and own high-throughput, cost-effective pipelines to support feature extraction and indexing for our web-scale Information Retrieval (IR) system. We own low latency, highly-available runtime systems. You will co-own these systems with the team, identify areas of efficiency areas across our stack in terms of development, deployment, hardware and observability.* Cross-Team Collaboration: Our services power several other systems across the larger Search Org. You’ll represent the team in meetings with stakeholders and customers from other teams and work with them closely to ensure we can support their needs in terms of load, latency and functionality.* Learning: You will partner with people in similar roles in other teams and bring back best practices.About the teamAbout the team Are you ready to drive the next generation of shopping innovations at Amazon? When words just aren’t enough to describe what customers are looking for, they often turn to other methods such as camera-based search, or using the picture of a celebrity to find inspiration for their fashion purchases. When images aren’t enough to convince customers that a piece of furniture will look good, they want to turn to Augmented Reality to envision how that furniture item would match their living room décor. Starting in 2009, the Visual Shopping team has thus far launched many visual search solutions on the Amazon App that use computer vision and machine learning/deep learning to help customers complete their shopping missions more easily; multiple internal teams at Amazon (devices, Kindle, Seller services, etc.) also use our libraries and APIs to deliver solutions to their own customers. We are a full stack shop, and our team capabilities cover the whole solution spectrum, ranging across applied science (Computer Vision and Deep Learning), large scale engineering services, LLM, product management, data analytics design, and mobile app development for iOS and Android. However, it’s still Day 1, and this is your chance to make history in the new era of shopping.BASIC QUALIFICATIONS- 5+ years of systems design, software development, operations, automation, and process improvement experience- 5+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience- 5+ years of deploying and operating in a Linux/Unix environment experience- Experience with CI/CD pipelines build processes- Experience building tools for building, testing, releasing or monitoring- Bachelor's degree ...