Artemis Search jobs

Applied Scientist, Amazon Search Bengaluru, Karnataka, IND At Amazon Search, we discover experience that connects millions of customers to the products they seek across our global marketplace. Our team develops sophisticated search solutions that make Amazon's vast product catalog easily accessible to customers worldwide. We're building next-generation search infrastructure that enables seamless expansion into new markets and product categories. Our mission is to ensure every customer enjoys an exceptional search experience from day one, whether they're shopping in an established market or a newly launched region. We develop intelligent, scalable systems that optimize search quality and effectiveness across Amazon's diverse product ecosystem. Our innovations help customers find exactly what they're looking for, while enabling Amazon to rapidly expand its global presence with consistent, high-quality search capabilities. We are seeking a strong applied scientists to join the Search Relevance India team. This team's charter is to increase the pace at which Amazon expands and improve the search experience at launch. In practice, we aim to invent universally applicable signals and algorithms for training machine-learned ranking models and improve the machine-learning framework for training and offline evaluation that is used for all new relevance models. Key job responsibilities * Build machine learning models for Product Search. * Develop new ranking features and techniques building upon the latest results from the academic research community. * Propose and validate hypothesis to direct our business and product road map. Work with engineers to make low latency model predictions and scale the throughput of the system.

Software Engineer III, Search, Mobile (Android) London, UK Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Help make Search awesome for our Android users! Our team develops the Android Google Search App (AGSA), one of the most used Android apps with more than 1B DAU and over a third of all Google Search traffic. AGSA is the platform for Search, Gemini, Discover, Circle to Search, Lens, and more. In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll

Marketing Specialist, Paid Search, AWS Search Marketing New York, New York, USA The AWS Search team is seeking a Marketing Specialist to support the in-house global paid search program. The Paid Search Specialist is passionate about delivering results by applying Paid Search best practices to campaign execution, leverages data analysis to identify opportunities to improve campaign performance, simplifies existing processes, and innovates to drive long-term results. In this role, you will work closely with a group of search experts to drive the acquisition of new customers, promote the adoption of new services, generate leads, and create unique, customer-centric experiences through search. Our ideal candidate has experience building, maintaining, and managing Paid Search campaigns, leveraging data and insights to improve performance metrics like conversion rate, quality score and impression share, running ad copy and landing page tests, and working in conjunction with other paid media channels to drive conversions. AWS Marketing leads the charge in cloud innovation, inspiring and empowering customers and partners to unlock their cloud potential. We shape AWS's industry perception through compelling narratives that demonstrate our leadership in AI and transformative solutions, while driving customer growth across our vast service portfolio. Our team delivers personalized, connected experiences that foster AWS adoption across diverse industries, continuously adapting our strategy to stay ahead in our digital-first world. Join our forward-thinking team to shape the future of cloud computing, contributing to strategic initiatives that respond to evolving technology, industry, and customer requirements. You'll collaborate globally to translate complex technology into clear,

Applied Scientist II, Search Relevance International Bengaluru, Karnataka, IND The Amazon Search team creates 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 has grown rapidly and will continue to do so in foreseeable future. Providing a high quality search experience is a unique challenge as Amazon expands to new customers, countries, categories, and product lines. We are seeking a strong applied scientists to join the newly formed Relevance India team. This team's charter is to increase the pace at which Amazon expands and improve the search experience at launch. In practice, we aim to invent universally applicable signals and algorithms for training machine-learned ranking models and improve the machine-learning framework for training and offline evaluation that is used for all new relevance models. Key job responsibilities Build machine learning models for Product Search. Develop new ranking features and techniques building upon the latest results from the academic research community. Propose and validate hypothesis to direct our business and product road map. Work with engineers to make low latency model predictions and scale the throughput of the system. Focus on identifying and solving customer problems with simple

Applied Scientist II, Core Search Seattle, Washington, USA The Amazon Search team creates 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. Search Autocomplete and Navigation focuses on helping customers express their shopping intent and navigate search results more effectively. In this role, you will invent universally applicable signals and algorithms to improve suggestion generation, recommendations, and ranking, using LLMs and ML techniques. The improvements you make will help hundreds of millions of customers find the right products faster, from the first keystroke through search result refinement. You will work on problems such as fine-tuning large language models for real-time suggestion generation under strict latency constraints, personalizing recommended content to individual customers, building evaluation frameworks for model selection, and designing data-driven guardrails for LLM-generated content. The work will span the whole development pipeline, including data analysis, evaluation system design, prototyping, A/B testing, and creating production-level systems. Key job responsibilities Your responsibilities include but not limited to: * Analyze the data and metrics resulting from traffic into Amazon's product search service. * Design, build, and deploy effective and innovative ML and LLM solutions to improve search experiences. * Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production. * Publish and present your work at

Marketing Manager, Paid Search, AWS Search Marketing Seattle, Washington, USA The AWS Search team is seeking a Marketing Manager to support the in-house global paid search program. The Paid Search Manager is passionate about delivering results by applying Paid Search best practices to campaign execution, leverages data analysis to identify opportunities to improve campaign performance, simplifies existing processes, and innovates to drive long-term results. In this role, you will work closely with a group of search experts to drive the acquisition of new customers, promote the adoption of new services, generate leads, and create unique, customer-centric experiences through search. Our ideal candidate has experience building, maintaining, and managing Paid Search campaigns, leveraging data and insights to improve performance metrics like conversion rate, quality score and impression share, running ad copy and landing page tests, and working in conjunction with other paid media channels to drive conversions. AWS Marketing leads the charge in cloud innovation, inspiring and empowering customers and partners to unlock their cloud potential. We shape AWS's industry perception through compelling narratives that demonstrate our leadership in AI and transformative solutions, while driving customer growth across our vast service portfolio. Our team delivers personalized, connected experiences that foster AWS adoption across diverse industries, continuously adapting our strategy to stay ahead in our digital-first world. Join our forward-thinking team to shape the future of cloud computing, contributing to strategic initiatives that respond to evolving technology, industry, and customer requirements. You'll collaborate globally to translate complex technology into clear, valuable solutions,

Global Paid Search Senior Manager Washington - Seattle; Illinois - Chicago Overview Of The Role Salesforce is looking for a Senior Manager, Global Search Engine Marketing to lead our paid search program across all markets and channels. In this role, you will define and execute global SEM strategy, build AI-powered workflows that scale our programs, and work cross-functionally with Web, SEO, Analytics, and Product to connect paid search performance to pipeline and revenue outcomes. This is a hybrid role with three days in office each week. Responsibilities Own and execute the global paid search strategy across Google Ads, Microsoft Advertising, and emerging search platforms - including keyword architecture, bid strategy, campaign structure, and budget management tied to pipeline and revenue goals Build and embed AI and automation tools into daily workflows to accelerate keyword research, ad copy generation, reporting pipelines, and bidding optimization - and develop a point of view on winning in AI-native search environments (Performance Max, AI Overviews, conversational search) Partner with SEO, Web, and Product teams to align paid and organic search strategy, optimize landing pages for conversion and message-match, and leverage product-qualified lead (PQL) signals to inform audience targeting Define the SEM measurement framework - from click to pipeline to revenue - and communicate insights, experiment results, and strategic recommendations to senior leadership through clear dashboards and data narratives Required Qualifications 7+ years of experience in paid search / search engine marketing (SEM), including at least 2 years managing global programs with significant budget accountability Deep

Quality Assurance Engineer, Amazon Search Relevance Measurement Bengaluru, Karnataka, IND How would you like to impact millions of customers around the world using Amazon Search? This team measures the spectrum of Search experiences on Amazon and helps root cause and deep dive escalations from customers and leadership point of view. From highlighting pain points to surfacing abuse across 21 locales, root causing problems in the complex Search stack layers and protecting the customer from compromised experience. We seek to improve customer perception of Search and trust through improved customer comprehension of our search results. We are looking for a passionate QA Engineer to help us enhance the customer journey by performing search troubleshooting whenever an escalation is raised either by leadership or by customers. You will help root cause and improve customer experiences viewed by millions of people per day. You will have the opportunity to learn and be a part of the Amazon retail website ecosystem globally. Key job responsibilities * Our QA Engineers test code at both the service and user level, using a variety of black box, gray box, and white box testing techniques. As a QA Engineer, you will innovate our test strategy across multiple dependencies, locales and device types and implement highly scalable automation to enable Search stack testing across 21 locales. * You will work to be able to understand software internals, debug complex problems including performance bottlenecks in Search stack, Troubleshoot Search escalations and regression and write automated tests in and/or using existing

Principal Tech Program Manager, Multilingual Search Quality Bengaluru, Karnataka, IND We are seeking an experienced candidate with a strong program management background, with a well-rounded exposure to projects involving application of machine learning and AI. You will lead the team through a quarterly planning process, improve experimentation velocity continuously, and hold all stakeholders accountable to a high throughput. You will work with partners across the search orgs, and be responsible for milestones for various high visibility projects. You will develop and own mechanisms like flashes, launch announcements and monthly business reviews to maintain collaborations with business and country teams. As part of the role, you will play a strong role during the operational planning process of the org. As a technical leader, you will influence strategy and outcomes across various search relevance initiatives. Key job responsibilities * Carry out quarterly planning process with the scientists/SDEs on the team * Own plans for high visibility initiatives for improving the precision of search results, and drive towards them * Drive mechanisms like flashes and monthly business reviews * Maintain collaborations across business and country teams, driving competing priorities * Own experimentation velocity for the team, and find avenues for improving the overall throughput of experiments * Influence overall strategy to improve search relevance About the team The Amazon Search Relevance team creates customer focused search solutions for powering Amazon search worldwide. The Search Relevance-L0 team in the Matching relevance and Early stage ranking org owns the responsibility of improving the precision of

Software Engineer II, Search Science Data Infra Palo Alto, California, USA Amazon Search creates customer-focused product search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our systems go to work. We delight customers when we accurately understand their intent expressed via a natural language query and/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 through a personalized experience while providing key information to make high confidence decisions with low post-purchase regret Search Science Data Infrastructure (SSDI) 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 platform provides the ML training data and real-time signals / embeddings for inferencing 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, 450+ teams across Amazon consume our datasets to power analytics and behavioral 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 responsibilities As an ML Engineer you will: Lead development of services and infrastructure at the intersection of machine learning, big data, and distributed systems. Our products

Product Manager, Workspace Search Bengaluru, Karnataka, India At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. As a Product Manager in Workspace Search, you will own the direction, strategy, and execution for critical Search products for billions of users. You will build new search offerings to improve search quality for human users and expand the Search for agentic users, enabling them to retrieve and utilize Workspace data. You will drive significant impact and shape the search experience for billions of Workspace users globally. You will work at the intersection of Search and AI, defining how intelligent systems convert information to action for users and collaborate with technology to solve challenging problems. If you are passionate about Search and eager to build the

Software Engineer III, Search AI Mode Mountain View, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Contextual Search team's mission is to make Google Search more helpful by seamlessly answering questions based on users' context. We are re-wiring users' mental model about Search - instead of Search being a stateless, contextless utility, where all information needs to be entered into the search box, users will think of Search as a tool that is “aware” of the content they're consuming and provides answers to questions about that content. We are leveraging foundational capabilities of LLMs to revolutionize Search - enable users to easily ask contextual questions and provide high-quality AI answers. In Google Search, we're reimagining what it

Director, UX Research, Search Verticals Mountain View, CA, USA; +2 more As the Director of Research for Search Verticals, you will be leading the user research team and the content design team to drive amazing Google Search experiences, balancing the practical needs of product development with building a foundational knowledge base covering all facets of user needs, motivations, and desired experiences along the search journey, and exploring how generative AI redefines the user mental models. You'll be the strategic partner to product management, design and engineering leadership. In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $275000 - $383000 (USD) + 30% bonus target + bonus + equity + benefits Learn more about benefits at Google . Lead and manage a team of researchers developing insights for Search verticals, such as Travel, News, Local, Sports, Education and Health. Drive the vision for transformation of these verticals into delightful AI forward experiences. Partner with Search UX, Engineering, and Product Management leadership to develop strategy, perspective, and narrative around Search that is user centered and backed by research. Develop strategies for

Search Engineer Remote, US posted: Posted 30+ Days Ago

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Domain Consultant Cortex Casablanca, Morocco posted: Posted 30+ Days Ago

Navigation and Autonomy Engineer Huntsville, AL posted: Posted 22 Days Ago

Senior Atlassian Engineer 2 Locations posted: Posted 28 Days Ago

Sr Principal DevOps Engineer United States-Colorado-Aurora RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Polygraph TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. The Northrop Grumman's Space Systems Sector is looking for an experienced Sr. Principal DevOps Engineer (Level 4) to augment our team. The DevOps engineers must have an excellent understanding of common system architecture, provisioning, and administration, but also have experience with the traditional developer toolset and practices such as using source control, giving and receiving code reviews, writing unit tests, and familiarity with agile principles. Successful candidates will support daily tasks by managing the CI/CD pipelines, automating deployments, monitoring system health, handling infrastructure as code. This position will be based in

Senior Atlassian Engineer 2 Locations posted: Posted 30+ Days Ago

Chronosphere - Domain Consultant 6 Locations posted: Posted 30+ Days Ago

DevOps Engineer (Level 2 OR 3) United States-Colorado-Aurora RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: Polygraph TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. The Northrop Grumman's Space Systems Sector is looking for an experienced DevOps Engineer (Level 2 OR 3) to augment our team. The DevOps engineers must have an excellent understanding of common system architecture, provisioning, and administration, but also have experience with the traditional developer toolset and practices such as using source control, giving and receiving code reviews, writing unit tests, and familiarity with agile principles. Successful candidates will support daily tasks by managing the CI/CD pipelines, automating deployments, monitoring system health, handling infrastructure as code. This position will be based in Aurora, CO. About

AI Engineer 2 Locations posted: Posted 30+ Days Ago

Associate AI Engineer 2 Locations posted: Posted Yesterday