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!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- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse- Master's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning- Experience researching about machine learning, deep learning, NLP, computer vision, data science ...

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!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 ...

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 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- 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 Search is looking for an Applied Scientist to build the next-generation Autocomplete and Spelling Correction experience. Autocomplete provides real-time suggestions as customers type in the search box. It serves as a virtual assistant on customer’s shopping journey. Our suggestions complete customers’ thoughts and help them to explore Amazon’s vast product offering. Spelling correction recovers the spelling errors in the queries, allowing customers to search effortlessly in any language they prefer, without worrying about making spelling mistakes. You will have the opportunities to leverage the latest developments in Natural Language Processing, Deep Learning, and Reinforcement Learning to re-invent customers’ shopping experience. Your work will touch the life of hundreds of millions customers and deliver billion-dollar business impact.You will love the job if you enjoy brining the cutting-edge research to people’s (and yours) day-to-day life. It’s a great feeling to realize the model you deployed yesterday has helped your shopping journey today. You will work closely with scientists and engineers to do fast-pace model development and experiment iterations. You will have access to Amazon’s rich datasets, AWS’s massive computation power, and science and engineering leaders across the company.As an applied scientist, you willDrive the science vision and roadmap.Develop data-driven solutions for the real-world, large scale problems.Deliver and maintain software and models in the production environment.Lead cross-functional collaborations between product, design, and engineering.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 ...

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 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) ...

Are you someone who likes to use big data to drive business decisions? Do you enjoy building data applications used worldwide by business leaders? Do you want to be part of the data team which measures the pulse of innovative shopping experiences? If your answer is yes, join our team. We are the Visual Search team. We work with retail category leaders, product managers, engineering leaders to ensure that we build shopping experiences using the camera that customers love and find useful.Key job responsibilitiesAs part of the Analytics team, we build scalable data solutions to enable insight generation in addition to providing analytical support for flagship initiatives for our various products such as Visual Search, Shop The Look and More Like This. Example data solutions include 1) building a tool which allows business leaders to A/B test product launches and 2) building tools and dashboards to enable business and product leaders to derive product level and business insights as well as 3) operating, improving and maintaining data pipelines for a reliable flow of data that will allow BI engineers to perform data analytics operations.A day in the lifeAs a BI Engineer in this team, you will co-own shaping the direction of Visual Search. You will work closely with business leaders to build the analytical roadmap. You will be comfortable making tough tradeoff decisions, helping define team vision and solutions. As a successful candidate, you will be able to interact with both technical stakeholders, setting tech requirements for engineering team, as well as business stakeholder to collaborate on business requirements and project outcomes.About the teamYou will be part of the Visual Search team. Our team comprises of designers, product managers, engineers, scientists and operators who obsess over customer problems and find inventive ways to solve them. Millions of Amazon shoppers use our Visual Search, StyleSnap and Augmented Reality products daily. Despite the millions of daily customers and the scale, we believe that it is Day One for Visual Search and Augmented Reality aided shopping experiences and you will be working on building the future with us.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Interested in Visual Search? Do you want to work on a team that is changing how people shop with their mobile devices? Based in Palo Alto, our team is responsible for building computer-vision based solutions for shopping - from using the phone’s camera to search for a product to previewing it in your own living space using AR. Our solutions are available in the Amazon Mobile Shopping app and used by millions of people worldwide every day. We use advanced technologies to leverage our vast catalog of images in ways that dramatically improve the experience of Amazon customers. We tackle complex problems in computer vision, computer graphics, deep learning, image search.Key job responsibilitiesIn this role, you will be member of the team that owns the Data Engineering function for the Visual Shopping org. This team manages datasets that act as the final feedback to our group on how well our features are being received by customers. You will build and maintain data pipelines that handle Amazon scale data and make it easily accessible for BIEs and Product team for querying and for generation of reports relevant to business. A great fit candidate for this role would be someone who brings experience building large scale big data systems that can handle petabytes of data.* Design, implement and support an analytical data infrastructure* Create and maintain data transformation logic, create scalable data solutions* Interface with other technology teams to extract, transform, and load data from a wide variety of data sources* Collaborate with BIEs to recognize and help adopt best practices in reporting and analysis* Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency* Help continually improve ongoing data ingestion, reporting and analysis processes* Maintain internal reporting platforms/tools* Write advanced SQL queries and code to develop data solutionsBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Solid track record of manipulating, processing, and extracting values from large datasets.- Hands-on experience and highly advanced knowledge of SQL, Data Modeling, ETL Development, and Data Warehousing.- Solid experience using big data technologies (Redshift, MapReduce, Hive, Hbase, Spark, EMR, etc.).- Strong customer focus, ownership, and ability to deliver results.- Excellent communication and collaboration skills- Effective analytical, troubleshooting, and problem-solving skills. ...

The charter of the Amazon Shopping Team is to improve shopping on Amazon using the conversational capabilities of large language models. We are working on an AI-first initiative to further improve the way we do search using large-scale foundation models. These foundation models are also used in downstream applications by various partner teams in Amazon Stores. Our goal is to build large language models (LLMs), which can empower conversational applications and facilitate online shopping. The team is searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. Key job responsibilitiesAs a Distinguished Scientist, you will act as Generative AI expert across the entirety of Amazon.With your expertise in both theory and practice of Generative AI you will be a strategic advisor to various S-teams and provide practical, clinical advice to business owners and communicate recommendations to leadership and, as appropriate, customers and external stakeholders.You will see around corners and identify business problems that may impact customers a few years out.You will delve into problems that are unique and unsolved to propose and deliver solutions that build upon on decades of published scientific research and business judgment.With your reputation in advancing current science your impact will be beyond your immediate research circles to influence research in adjacent disciplines and beyond.Your research will spark new lines of inquiry and will be leveraged by a broad array of technologists.Published work exemplifies resounding business impact at scale and represents industry-first inventions for customers.Your experience in identifying and delivering mechanisms will improve scientific knowledge integration into product.You will drive major new science heavy product launches with org-wide scope and impact.BASIC QUALIFICATIONSPhD degree in computer science, engineering, or mathematics * 20+ years of experience in the field * A track record of world-class publication in related disciplines * Demonstrated expertise in both theory and practice of disciplines ...

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. ...

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 regretSearch Science Data Infrastructure team is responsible for delivering high quality and fresh ML model training data, and providing seamless access to all ML artifacts through federated Feature Store infrastructure. This big-data platform provides the ML training data to Amazon search ranking, matching quality, search economics and also powers live-site features, including search suggestions, query understanding, spelling, search result ranking, and personalization. Furthermore, 350+ teams across Amazon consume our datasets to power analytics and behavior models. We are located in downtown Palo Alto, a short walk from numerous shops and restaurants, and right across from the Caltrain station.Key job responsibilitiesAs an ML Engineer you will:- Lead development of services and infrastructure at the intersection of machine learning, big data, and distributed systems. Our products and services empower hundreds of science teams across Amazon to deliver machine learning at scale for ML model training, Feature engineering and Data quality monitoring. - You will help manage machine learning lifecycle and operations using AWS AI services, DL compute resources, and our core search backend services for query understanding, semantic matching, and relevance ranking. - You will build scalable data-intensive infrastructure that processes huge amounts of logs, catalogs, transactional data, and telemetry signals. By doing so, we enable teams to become more data-driven and build robust and explainable ML services. - You will work with partners on data experimentation to advance Amazon product search, making it available across all geographic regions with variety of product search and discovery use cases across many categories.- Lead the design, get your hands dirty and write code, and ultimately deploy big data and machine learning services. These services define the foundation of our search R&D processes, supporting science, product development and production of the world’s largest product search engine.- Possess expert knowledge in performance, large scale distributed system scalability, system architecture, and engineering best practices.- Obsess over operational excellence, evaluate system performance, security, design system metrics and driving quality improvementsBASIC 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 ...

About the RoleThis position will be part of the Sponsored Product Demand Utilization team within the Amazon Advertising organization. You will work hands-on with scientists from day one, with exposure to all aspects of model lifecycle, and productionization of ML systems. This position is ideal for an engineer with prior MLOps or MLInfra experience looking to have exposure to science, with impact and ownership through engineering.You will design and code, troubleshoot, and support high volume and low latency distributed systems. The solutions you create would drive step increases in coverage of sponsored ads across the retail website and ensure relevant ads are served to Amazon's customers. You will directly impact our customers’ shopping experience while helping our sellers get the maximum ROI from advertising on Amazon. This role will provide exposure to cutting-edge innovations in product search, information retrieval, Large Language Models, and Generative AI.About the OrgAmazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. We are a team of machine learning scientists and software engineers working on complex solutions to understand the customer intent and present them with ads that are not only relevant to their actual shopping experience, but also non-obtrusive. This area is of strategic importance to Amazon Retail and Marketplace business, driving long term-growth.Realtime systems within our org operate with tight 10s of milliseconds, and high throughput requirements for offline systems, resulting in high impact from performance optimization.Key job responsibilities* Serve as a tech lead for defining innovative and cutting edge ML infrastructure for both inference and training* Build POCs and infrastructure for deploying and supporting models in production. Own A/B testing of experiments using this infrastructure* Work closely with scientists across the org to understand requirements and impact opportunities* Work closely with product managers to contribute to our mission, and proactively identify opportunities where cutting edge ML Infra can help improve customer experience * Stay on top of modern ML Infra and ML Ops technologies to understand where they can provide the most value within the org* Help attract and recruit technical talent, mentor engineers and scientists in the teamAn ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and ads recommendation systems. Using a combination of generative AI and online experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon properties while enhancing the experience of hundreds of millions of Amazon shoppers worldwide. 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!Impact and Career Growth:This is a rare opportunity for an ML focused SDE within Amazon to work directly with, and sprint with talented scientists while delivering impact across teams in the SP Demand Utilization Org. You will have experience working with multiple stakeholders across the org. You will have hands-on experience building and deploying production machine learning systems at scale, with opportunities for some of the largest revenue impact from an org within Amazon. This is a highly visible role that will have a direct impact on customers and revenue!Why you love this opportunity:* Direct business impact, your work in sponsored products affects pixels on amazon.com and amazon app, with real, observable product impact.* Vertical integration with science and engineering, with opportunities to touch all aspects of the model lifecycle, through training, optimization and inference* Exposure to bleeding edge model optimization techniques for LLMs and other large models, with clear path to revenue impact from optimization. This is a rare opportunity across the industry to gain experience and drive exploration in techniques like quantization, sparsity, knowledge distillation and neural architecture search on large scale models in an enterprise setting.* Challenging technical space, where we care about fitting inference for the largest possible models within tight realtime constraints (10s of ms) and high performance of numerical systems is mission critical.* Large scale impact on revenue through delivery of bar-raising optimizations and solutions for teams across the org.* Latitude to innovate on greenfield projects, this is effectively an R&D role with the intention of innovating on existing legacy systems.BASIC QUALIFICATIONS* 3+ years of non-internship professional software development experience* 3+ years of programming with at least one software programming language experience* 3+ 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 with common machine learning techniques such as pre-processing data, training, and evaluation* Experience in building large-scale machine-learning MLOps infrastructure for inference, eval or other parts of the model lifecyclePREFERRED QUALIFICATIONS* 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience* Industry experience in software development.* Experience with production machine learning systems* Experience profiling and identifying performance bottlenecks on CPU, GPU or other accelerators (e.g. using nsys, torchprof, VTune, gprof etc...)* Excellent distributed systems (e.g. AWS or other cloud infra) design experience* Experience with ML libraries/frameworks such as PyTorch, JAX, Tensorflow, Keras etc...* Experience with MLOps tooling like MLFlow, Sagemaker, Kubeflow, DVC etc...* Experience with systems programming, and low level optimization in Rust, C++, C or other similar languages.* Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing* Advanced knowledge of performance, scalability, enterprise system architecture, and engineering best practicesBASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 3+ 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 ...