Palo Alto

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 ...

Come transform Amazon Search using Large Language Models (LLMs). We are building new approaches to bring in a step change to both Amazon Rufus and Amazon Search.You will innovate with your team to provide delightful answers to customers by incorporating world knowledge in matching and ranking models, and helping the models deeply understand semantic meaning in descriptive and conversational queries such as "light tent for snow camping with my son", “best toys for on the go” or “cheap plus size summer pajamas”.Key job responsibilities- You will analyze large scale datasets- define metrics that reflect customer experience- invent techniques that improve capabilities such as understanding of natural language queries, questions and conversations- test your ideas in controlled experiments- train, fine-tune and align Large Language Models (LLMs).- distill Large Language Models into Fast Language Models and deploy them to operate at Amazon scale with imperceptible latenciesBASIC 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 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 Product 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 Relevance team works to maximize the quality and effectiveness of the search experience for visitors to Amazon websites worldwide.The Search Relevance team focuses on several technical areas for improving search quality. In this role, you will invent universally applicable signals and algorithms for training machine-learned ranking models. The relevance improvements you make will help millions of customers discover the products they want from a catalog containing millions of products. You will work on problems such as predicting the popularity of new products, developing new ranking features and algorithms that capture unique characteristics, and analyzing the differences in behavior of different categories of customers. The work will span the whole development pipeline, including data analysis, prototyping, A/B testing, and creating production-level components.Joining this team, 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 Internet companies. We provide a highly customer-centric, team-oriented environment in our offices located in Palo Alto, California.Please visit https://www.amazon.science for more informationBASIC QUALIFICATIONS- Master's degree ...

We are seeking a Sr. Financial Analyst to join the Finance Team supporting and partnering with the Amazon Search team in the Shopping org. We at Shopping finance are at the intersection of Amazon Retail and Shopping Technology. We are insightful, influential, inquisitive, and analytical. We collaborate across organizations, celebrate and leverage diverse perspectives, and support our peers to excel both at work and away from work. As a Sr. Financial Analyst, you will work closely with finance and business leaders to develop financial models, provide analytical insights to assist in evaluating new business concepts, turn insights into operational measurements, and identify paths to improve the planning and reporting process.Key job responsibilities- Collect, analyze and manage quantitative data to create meaningful analyses and build financial models that drive business decisions.- Create, improve, and maintain reports for key financial and operation metrics.- Analyze monthly financial and business metrics, report on key trends vs. plan, peel back the layers to understand underlying drivers of financial performance.- Perform Month end close related activities.- Execute monthly, quarterly, and ad-hoc operating expense reports for the Search org.- Partner with finance technology partners to identify opportunities to create efficiencies, streamline reporting and planning of infrastructure expenses and drive automation.- Partner with business teams to enable success in the annual Goals process.- Drive continuous improvement and standardization of processes, including implementation of best practices, and collaborate with other teams.BASIC QUALIFICATIONS- Bachelor's degree in finance, accounting or related field- 3+ years of tax, finance or a related analytical field experience ...

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, 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 Relevance team works to maximize the quality and effectiveness of the search experience for visitors to Amazon websites worldwide. Amazon’s large scale brings with it unique problems to solve in designing, testing, and deploying relevance deep-learned models. We are seeking a strong software engineer to join the Search Relevance team and build data infrastructure to cater the needs to build deep learned models.In this role, you will: * Design, develop and deploy ML Data infrastructure for search ranking at Amazon scale. * Be curious. You will work alongside systems engineers, machine learning scientists, and data analysts. Your effectiveness and impact will depend on discussing problems with and learning from them. * Take ownership and understand the needs of various search teams (including search science teams), distil those into coherent projects, and implement them with an eye on long-term impact. You will see the fruits of your efforts used by hundreds of millions of users. * Be a leader. You will use your expertise to set a high bar for the team, mentor team members, set the tone for how to take on and deliver on large scale complex projects. * Be ambitious. You will find and eagerly tackle hard problems. The phrase ‘can’t be done’ should energize you. * Be customer focused. You will work backwards from customer problems, figure out elegant solutions, and implement them for speed and scalability. * Join a highly talented team of Engineers working on solving interesting problems in a fun and collaborative environment. * Get exposure to large scale use of various AWS components such EC2, S3, EMR, Sagemaker etc. * Have access to the vast technical tools and resources of Amazon. Joining this team, 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 internet companies.BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering team- Experience in machine learning, data mining, information retrieval, statistics or natural language processing ...

Do you want to help define the future of Go to Market (GTM) at AWS using generative AI (GenAI)? AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems. Do you enjoy solving novel and unique technical challenges for customers? Become an AWS GenAI Specialist SA!Within the GenAI/ML Specialist organization, this position is part of the Worldwide Specialist Team, where you will lead the global GTM plan for Amazon Q Business. You are a leader for specialists, architects, partners, and account teams around the world and set direction and standards for how we solve customer problems in your domain. You partner with technical and business teams across AWS and bring the voice of the customer into our product development roadmap. The WW team sees the big picture and sets the plan so the world’s most customer obsessed technical teams can make history.Key job responsibilities* Serve as a specialist advisor for Amazon Q Business, developing scalable best practices and educating the broader community* Assist customers in building production-ready solutions, including complex integrations with existing systems* Engage with customer executives to shape technology strategy and envision innovative solutions* Drive high-level discussions across organizations, represent the company at conferences, and communicate effectively to diverse audiences* Support new service launches, incubate new business, and influence product roadmap through close collaboration with internal teams and external customersAbout the teamWhy AWSAmazon 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.Diverse ExperiencesAmazon 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.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.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 and 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.BASIC QUALIFICATIONS- BS/MS in Computer Science, Data Science, Engineering, or related field (or equivalent experience)- 7+ years of hands-on experience building and deploying cloud solutions- Experience developing enterprise search solutions integrating multiple datasources (e.g., Sharepoint, Confluence, Salesforce)- Hands-on experience with Large Language Models, RAG-based systems, and Vector databases- Excellent communication and presentation skills for collaborating with internal and external stakeholders ...

Amazon.com’s Search org is looking for an engineer to join our Palo Alto team. Search Productions Operations is a follow-the-sun team distributed over three worldwide locations and is responsible for running one of the Internet's largest search infrastructures that powers Amazon’s retail websites.The team is responsible for operational support for search front-end services and mitigating high severity events. We actively lead efforts to improve the customer experience by maximizing availability, quality, and performance.We use an Operational Excellence (OE) program to continuously improve our processes. We partner with teams across Amazon Search to achieve highly-resilient systems, share knowledge, and automate away operational burden. We are strong advocates of a healthy work-life harmony, and continually focus on ensuring happiness within our team.Key job responsibilitiesOperational Excellence: We protect the Search customer experience and eliminate operational load. We mitigate, resolve high severity events and prevent their recurrence by owning the post-incident analysis process. We have a well established OE program to identify and drive resolution of cross-service and inter-service issues, review operational metrics, and investigate Service Level Objective (SLO) breaches.Systems Development: We develop and own innovative software solutions. We automate incident response workflows, assist engineers on call with root-causing of high severity events, and present mitigation options. We constantly automate processes through our operational excellence program, pager load budgeting system, and top root causes evaluation.On-Call Responsibility: The team operates a follow the sun on-call rotation with a frequency of one week on-call in every five weeks. The rotation is daytime only with handoffs between the Tokyo, Dublin, and Palo Alto teams. The on-call represents Search during large scale events in production, leads and co-ordinates calls to quickly mitigate customer impact.Career Growth: We care about your career aspirations. We want you to grow and progress in Amazon. We will facilitate your growth through an increase in scope of the projects you work on over time, and that can also include working on projects for partner teams to experience new, and interesting challenges.BASIC QUALIFICATIONS- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust- Experience with Linux/Unix- 2+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience ...

Are you interested in building hyper-scale database services in the cloud? Do you want to revolutionize the way databases are built for the cloud? Do you want to have direct and immediate impact on hundreds of thousands of users who use AWS database services? Amazon Aurora MySQL offers MySQL compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to five times better performance than MySQL, all at a price point one tenth that of a commercial database while delivering similar performance and availability. ...

Machine Learning Engineer II, Search Science and Data Infrastructure Job ID: 2819617 | Amazon.com Services LLC Amazon Search creates powerful, 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. We delight customers when we accurately understand their intent expressed via a query or image, and reflect that understanding throughout the search page - from layout to the search results and navigation. We make shopping effortless by helping customers easily explore our vast selection, narrowing down a myriad of options to a manageable consideration set while providing key information to make high confidence decisions with low post-purchase regret. ...

Sr. Performance Engineer, Redshift Performance Engineering Job ID: 2559652 | Amazon Development Center U.S., Inc. The Amazon Redshift Performance Engineering team is looking for an experienced performance engineer who is passionate about database and distributed systems performance. Join our team and help us make the fastest data warehouse even faster! As part of the Redshift Performance Engineering team, you will use your experience and skills to identify ways to improve performance and help set the direction and priorities of other engineering teams. You will tackle some of the most challenging performance problems and get involved in performance optimization from the application level down to the code and hardware level. Key job responsibilities A Sr. Performance Engineer at Amazon Redshift needs to be able to diagnose any performance bottleneck. When diagnosing a performance issue, they need to be able to start with application logs, and dive deeper into the source code, profiling information, and OS and system metrics to RCA performance issues. They need to be able to run experiments and benchmarks to understand the performance of a complex distributed system and isolate performance issues. They also need to have strong judgement and experience to know what performance issues have the biggest impact to our customers. They need to be highly organized and able to clearly present results and recommendations to development teams. They need to be comfortable reading, modifying, and optimizing C++ code to test performance hypotheses. We are open to hiring candidates to work out of one of the following locations: East Palo Alto, CA, USA ...

We are reimagining Amazon Search by introducing an interactive conversational experience that makes finding the perfect product easier than ever. With our state-of-the-art Large Language Model (LLM) innovations, you can now ask product-related questions, compare products, receive personalized suggestions, and more—all through a fast and reliable natural language conversation. This is just the beginning of a new era in online shopping, and the future is yours to shape.We're searching for pioneers who are passionate about technology, innovation, and customer experience, and who 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 and change the world of eCommerce forever!BASIC QUALIFICATIONS- 5+ years of technical product or program management experience- 7+ years of working directly with engineering teams experience- 3+ years of software development experience- 5+ years of technical program management working directly with software engineering teams experience- Experience managing programs across cross functional teams, building processes and coordinating release schedules ...

Job Title: Courier Employer: Amazon Job Description: As a Courier at Amazon, you will be responsible for transporting packages between Amazon facilities and customer locations. You will ensure that packages are delivered safely and efficiently, maintaining a high level of customer satisfaction. Your role is essential in maintaining the flow of goods and ensuring that customers receive their orders promptly. ...

Job Title: Courier Employer: Amazon Job Description: As a Courier at Amazon, you will be responsible for transporting packages between Amazon facilities and customer locations. You will ensure that packages are delivered safely and efficiently, maintaining a high level of customer satisfaction. Your role is essential in maintaining the flow of goods and ensuring that customers receive their orders promptly. ...

Job Title: Delivery Driver Employer: Amazon Job Description: As a Delivery Driver at Amazon, you will be responsible for delivering packages to customers in a safe and timely manner. You will use a company-provided vehicle to make deliveries, following a predetermined route and schedule. Your role is critical in ensuring that customers receive their orders on time and in excellent condition. ...

Job Title: Delivery Driver Employer: Amazon Job Description: As a Delivery Driver at Amazon, you will be responsible for delivering packages to customers in a safe and timely manner. You will use a company-provided vehicle to make deliveries, following a predetermined route and schedule. Your role is critical in ensuring that customers receive their orders on time and in excellent condition. ...

Job Description: Are you looking for a seasonal opportunity with flexible hours and competitive pay? Join our team as Seasonal Delivery Driver! We're seeking responsible and motivated individuals to ensure timely deliveries of packages, food, or retail items to our customers during peak demand periods. Key Responsibilities: Safely operate a vehicle to deliver goods to customers in a timely manner. Load, unload, prepare, inspect, and operate a delivery vehicle. Follow assigned routes and time schedules. Communicate with dispatchers, customers, and supervisors efficiently. Ensure packages are delivered intact and to the correct recipients. Provide exceptional customer service, addressing customer inquiries as needed. Comply with company policies, safety regulations, and driving rules. Requirements: Valid driver's license with a clean driving record. Ability to operate GPS devices and follow driving directions. Must be able to lift and move packages up to 50 lbs. Strong time management and organizational skills. Positive attitude and strong communication skills. Must be willing to work during peak seasons, including weekends and holidays. (Optional) Prior delivery experience preferred, but not required. Benefits: Competitive hourly pay. Flexible full-time or part-time hours to fit your schedule. Seasonal bonuses or incentives for top performers. Potential for future full-time or part-time positions after the seasonal period ends.

Job Description: Are you looking for a seasonal opportunity with flexible hours and competitive pay? Join our team as Seasonal Delivery Driver! We're seeking responsible and motivated individuals to ensure timely deliveries of packages, food, or retail items to our customers during peak demand periods. Key Responsibilities: Safely operate a vehicle to deliver goods to customers in a timely manner. Load, unload, prepare, inspect, and operate a delivery vehicle. Follow assigned routes and time schedules. Communicate with dispatchers, customers, and supervisors efficiently. Ensure packages are delivered intact and to the correct recipients. Provide exceptional customer service, addressing customer inquiries as needed. Comply with company policies, safety regulations, and driving rules. Requirements: Valid driver's license with a clean driving record. Ability to operate GPS devices and follow driving directions. Must be able to lift and move packages up to 50 lbs. Strong time management and organizational skills. Positive attitude and strong communication skills. Must be willing to work during peak seasons, including weekends and holidays. (Optional) Prior delivery experience preferred, but not required. Benefits: Competitive hourly pay. Flexible full-time or part-time hours to fit your schedule. Seasonal bonuses or incentives for top performers. Potential for future full-time or part-time positions after the seasonal period ends.

Job Title: Forklift Operator Employer: Amazon Job Description: As a Forklift Operator at Amazon, you will be responsible for operating a forklift to move, locate, relocate, stack, and count merchandise. You will ensure that products are transported safely and efficiently within the warehouse. Your role is critical in maintaining the flow of goods and ensuring that the warehouse operates smoothly. ...

Job Title: Forklift Operator Employer: Amazon Job Description: As a Forklift Operator at Amazon, you will be responsible for operating a forklift to move, locate, relocate, stack, and count merchandise. You will ensure that products are transported safely and efficiently within the warehouse. Your role is critical in maintaining the flow of goods and ensuring that the warehouse operates smoothly. ...

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 ...