{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/information-retrieval"},"x-facet":{"type":"skill","slug":"information-retrieval","display":"Information Retrieval","count":23},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0796e182-42e"},"title":"Sr. Software Engineer, Backend (Search Platform)","description":"<p>About Dialpad</p>\n<p>Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.</p>\n<p>More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.</p>\n<p>We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time.</p>\n<p>Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.</p>\n<p>Visit dialpad.com to learn more.</p>\n<p>Being a Dialer</p>\n<p>At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.</p>\n<p>We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.</p>\n<p>We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.</p>\n<p>We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.</p>\n<p>Your role</p>\n<p>Dialpad’s Product Engineering organization is responsible for building and maintaining the customer-facing features at scale across all of our cloud-native products and services.</p>\n<p>Every day, millions of users across the world leverage our technology for communicating effectively and efficiently.</p>\n<p>Every engineer on our global engineering team is given the opportunity to take ownership of a large portion of the product where they’re able to see immediate results.</p>\n<p>Combining natural language processing and artificial intelligence with world-class cloud computing, the things you’ll create at Dialpad will shape the future of work,enabling companies to work from anywhere and making business communication more human.</p>\n<p>Dialpad’s Analytics team owns data pipelines, multiple databases, a modular query layer, and rich FE components to deliver intuitive and powerful end-user-facing analytics experiences that allow Dialpad customers to make data-driven business decisions.</p>\n<p>Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, Designers, QA specialists, as well as Engineers specialising in Data Engineering, Data Science, and Telephony.</p>\n<p>This position reports to the Engineering Manager, who is based in Bengaluru, and the role will be based in our Bengaluru, India Office.</p>\n<p>The position will require a hybrid working arrangement based out of our Bengaluru office.</p>\n<p><strong>What you’ll do</strong></p>\n<ul>\n<li>Contribute to the design, development, and maintenance of information retrieval and distributed systems.</li>\n</ul>\n<ul>\n<li>Build and optimize search engines, including indexers, analyzers, ranking, and re-ranking strategies.</li>\n</ul>\n<ul>\n<li>Work on hybrid search techniques, including dense vector manipulation, rank fusion, and reranking.</li>\n</ul>\n<ul>\n<li>Maintain and enhance highly scalable search platforms with a focus on performance and cost efficiency.</li>\n</ul>\n<ul>\n<li>Ensure high availability, reliability, and fault tolerance in search services.</li>\n</ul>\n<ul>\n<li>Collaborate with cross-functional teams to translate business requirements into technical solutions.</li>\n</ul>\n<ul>\n<li>Develop and optimize real-time distributed systems, microservices, and message-driven architectures.</li>\n</ul>\n<ul>\n<li>Implement and maintain monitoring, alerting, and performance metrics for platform reliability.</li>\n</ul>\n<ul>\n<li>Evaluate and integrate emerging technologies to improve search capabilities.</li>\n</ul>\n<ul>\n<li>Write clean, modular, and well-tested code while following best engineering practices.</li>\n</ul>\n<ul>\n<li>Participate in code reviews to ensure quality, maintainability, and scalability.</li>\n</ul>\n<ul>\n<li>Provide mentorship and technical guidance to junior engineers.</li>\n</ul>\n<p><strong>Skills you’ll bring</strong></p>\n<ul>\n<li>4-7 years of experience in information retrieval or distributed systems engineering.</li>\n</ul>\n<ul>\n<li>Strong understanding of search platforms and experience maintaining search engines at scale.</li>\n</ul>\n<ul>\n<li>Deep knowledge of indexers, analyzers, field mapping, and ranking techniques.</li>\n</ul>\n<ul>\n<li>Experience with NLP/NLU within the context of information retrieval.</li>\n</ul>\n<ul>\n<li>Expertise in dense vector manipulation and optimization.</li>\n</ul>\n<ul>\n<li>Familiarity with hybrid search, rank fusion, and reranking techniques.</li>\n</ul>\n<ul>\n<li>Proficiency in Go and Python 3 (experience with Rust or TypeScript is a plus).</li>\n</ul>\n<ul>\n<li>Strong understanding of distributed systems, microservices, and message-driven architectures.</li>\n</ul>\n<ul>\n<li>Passion for real-time performance optimization and high availability.</li>\n</ul>\n<ul>\n<li>Experience with API design using Swagger, OpenAPI, or equivalent tools.</li>\n</ul>\n<ul>\n<li>Knowledge of gRPC or equivalent RPC protocols.</li>\n</ul>\n<ul>\n<li>Experience with Docker and Kubernetes for containerized deployments.</li>\n</ul>\n<ul>\n<li>Familiarity with cloud platforms (GCP preferred, AWS/Azure optional).</li>\n</ul>\n<ul>\n<li>Hands-on experience with Infrastructure as Code tools like Terraform or Ansible.</li>\n</ul>\n<ul>\n<li>Knowledge of CI/CD frameworks and continuous delivery practices.</li>\n</ul>\n<p>Why Join Dialpad</p>\n<ul>\n<li>Work at the center of the AI transformation in business communications</li>\n</ul>\n<ul>\n<li>Build and ship agentic AI products that are redefining how companies operate</li>\n</ul>\n<ul>\n<li>Join a team where AI amplifies every employee’s impact</li>\n</ul>\n<ul>\n<li>Competitive salary, comprehensive benefits, and real opportunities for growth</li>\n</ul>\n<p>We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.</p>\n<p>We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.</p>\n<p>Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.</p>\n<p>Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.</p>\n<p>Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0796e182-42e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dialpad","sameAs":"https://dialpad.com","logo":"https://logos.yubhub.co/dialpad.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dialpad/jobs/8340906002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["information retrieval","distributed systems engineering","search platforms","indexers","analyzers","field mapping","ranking techniques","NLP/NLU","dense vector manipulation","optimization","hybrid search","rank fusion","reranking","Go","Python 3","API design","gRPC","Docker","Kubernetes","cloud platforms","Infrastructure as Code","CI/CD frameworks"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:55.828Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"information retrieval, distributed systems engineering, search platforms, indexers, analyzers, field mapping, ranking techniques, NLP/NLU, dense vector manipulation, optimization, hybrid search, rank fusion, reranking, Go, Python 3, API design, gRPC, Docker, Kubernetes, cloud platforms, Infrastructure as Code, CI/CD frameworks"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d7e1a365-9dd"},"title":"Principal Software Engineer II - Search Management - Elasticsearch","description":"<p>We&#39;re looking for a Principal Software Engineer to join the Elasticsearch - Search Management team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene.</p>\n<p>As a Principal Software Engineer, you will be a full-time Elasticsearch contributor, building data-intensive new features and fixing intriguing bugs, all while making the code easier to understand. You&#39;ll work with a globally distributed team of experienced engineers focused on the search capabilities of Elasticsearch.</p>\n<p>You&#39;ll be an expert in several areas of Elasticsearch and everyone will turn to you when they have a question about them. You&#39;ll improve those areas based on your questions and your instincts.</p>\n<p>You&#39;ll help us create the future of search within Elasticsearch - building a scalable search tier for our Serverless platform and writing search functionality in ES|QL, our new piped query language as two examples.</p>\n<p>You&#39;ll work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.</p>\n<p>You&#39;ll write idiomatic modern Java -- Elasticsearch is 99.8% Java!</p>\n<p>We&#39;re looking for someone with strong skills in core Java and a conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas. You should be comfortable developing collaboratively, giving and receiving feedback on code and approaches and APIs.</p>\n<p>You&#39;ve used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.</p>\n<p>You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we&#39;d expect that from you too.</p>\n<p>Bonus points if you&#39;ve built things with Elasticsearch before, worked in the search and information retrieval space, or have experience writing code for software-as-a-service or platforms-as-a-service.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d7e1a365-9dd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7699084","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$154,000-$243,600 CAD","x-skills-required":["core Java","standard library of data structures and concurrency constructs","newer features like lambdas","data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra","idiomatic modern Java"],"x-skills-preferred":["search and information retrieval space","software-as-a-service or platforms-as-a-service","collaborative development","code review","API design"],"datePosted":"2026-04-18T15:49:07.452Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"core Java, standard library of data structures and concurrency constructs, newer features like lambdas, data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, idiomatic modern Java, search and information retrieval space, software-as-a-service or platforms-as-a-service, collaborative development, code review, API design","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":154000,"maxValue":243600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c29d72ae-6be"},"title":"Staff Software Engineer- Search Quality","description":"<p>We are seeking a Staff Software Engineer- Search Quality to join our team. As a key member of our engineering team, you will be responsible for building the retrieval backbone for our AI agents and improving the traditional search experience for our users.</p>\n<p>The ideal candidate will have a strong background in information retrieval, machine learning, and software engineering. You will be working on a highly complex and challenging problem, balancing traditional keyword-based search with semantic vector search, and fine-tuning ranking models to satisfy both human readability and LLM-ready context.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the quality of results for our AI agents and human users</li>\n<li>Optimize the retrieval layer for LLMs to reason over data they weren’t trained on</li>\n<li>Improve the traditional search experience for employees to find assets and answers through intuitive, high-recall interfaces</li>\n<li>Build the guardrails and relevance scoring to ensure our AI stays grounded in reality</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Strong background in information retrieval, machine learning, and software engineering</li>\n<li>Experience with Lucene/Elasticsearch, embeddings, and ranking algorithms</li>\n<li>Understanding of relevance metrics (nDCG, MRR, Precision@K)</li>\n<li>Ability to work on a highly complex and challenging problem</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive benefits and perks that meet the needs of all employees</li>\n<li>Opportunity to work on a highly complex and challenging problem</li>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<p>About Databricks:</p>\n<p>Databricks is a data and AI company that provides a platform for unifying and democratizing data, analytics, and AI. Over 10,000 organizations worldwide, including many Fortune 500 companies, rely on Databricks.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c29d72ae-6be","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8439348002","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Lucene/Elasticsearch","embeddings","ranking algorithms","information retrieval","machine learning"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:45:10.522Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Lucene/Elasticsearch, embeddings, ranking algorithms, information retrieval, machine learning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_21a28f03-a3b"},"title":"Consulting Architect, Public Sector - Netherlands","description":"<p>We are seeking a Consulting Architect to join our team in the Public Sector. As a Consulting Architect, you will be responsible for leading stakeholder relationships at the highest levels of Government and working with them to help align Elastic to their strategic objectives.</p>\n<p>You will have the opportunity to work with a tremendous services, engineering and sales team and wear many hats. This is a critical role, as Consultants have an amazing chance to make an immediate impact on the success of Elastic and our customers.</p>\n<p>Given the opportunity and the organisations that you will be working with, you must be a current holder of Security clearance.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Strong customer advocacy, relationship building, and communications skills</li>\n<li>The ability to easily pivot from delivery to strategic engagements with customers</li>\n<li>To work with the wider Elastic organisation to support the customer’s goals, their strategic requirements and their journey with Elastic.</li>\n<li>Ownership of the strategic roadmap with the customer including quarterly strategic sessions with senior and key stakeholders either in one or a number of customers with common goals.</li>\n<li>Solution design, development, and integration of Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments</li>\n<li>Comfortable working remotely in a highly distributed team</li>\n<li>Development of demos and proof-of-concepts that highlight the value of the Elastic Stack</li>\n<li>Data modelling, query development and optimisation, cluster tuning and scaling with a focus on fast search and analytics at scale</li>\n<li>Solving our customers’ most challenging data problems</li>\n<li>Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions.</li>\n<li>Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns</li>\n</ul>\n<p>What You Bring Along:</p>\n<ul>\n<li>Hands-on experience and an understanding of Elasticsearch and/or Lucene</li>\n<li>Minimum of 2 years’ experience as a Software Engineer, System Administrator, or DevOps Engineer</li>\n<li>Minimum of 5 years&#39; experience working as a Consultant, working to deliver and execute on professional services engagements</li>\n<li>Currently holding security clearance</li>\n<li>Experience as a technical instructor or public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions</li>\n<li>Excel at working directly with customers to gather, prioritise, plan and execute solutions to customer business requirements as it relates to our technologies</li>\n<li>Understanding and passion for open-source technology and knowledge and proficient in at least one programming language</li>\n<li>Hands-on experience with large distributed systems from an architecture and development perspective</li>\n<li>Knowledge of information retrieval and/or analytics domain</li>\n<li>The nature of the work that you will be doing will require a high percentage of work onsite with customers, and you should be expected to travel as a result of this requirement</li>\n<li>Understanding of Linux, Java and databases</li>\n</ul>\n<p>Bonus Points:</p>\n<ul>\n<li>Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification</li>\n<li>BS, MS or PhD in Computer Science or related engineering discipline</li>\n<li>Strong knowledge of Java and Linux/Unix environment, software development, and/or experience with distributed systems</li>\n<li>Experience and interest in delivering and/or developing product training</li>\n<li>Experience contributing to an open-source project or documentation</li>\n</ul>\n<p>As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life,map</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_21a28f03-a3b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7472744","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Elasticsearch","Lucene","Java","Linux","Databases","Open-source technology","Programming language","Information retrieval","Analytics domain","Cloud-based solutions","Search AI Platform","Security","Observability"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:44:33.002Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"The Netherlands"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Elasticsearch, Lucene, Java, Linux, Databases, Open-source technology, Programming language, Information retrieval, Analytics domain, Cloud-based solutions, Search AI Platform, Security, Observability"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9e36f934-a6f"},"title":"Elastic Consultant - Public Sector","description":"<p>We are seeking an Elastic Consultant to join our team in the Public Sector. As a consultant, you will work with customers to deliver and execute on professional services engagements. You will have the opportunity to work with a tremendous services, engineering, and sales team and wear many hats. This is a critical role, as consultants have an amazing chance to make an immediate impact on the success of Elastic and our customers.</p>\n<p>Strong customer advocacy, relationship building, and communications skills are essential for this role. You will need to be able to easily pivot from delivery to strategic engagements with customers. You will work with the wider Elastic organisation to support the customer&#39;s goals, their strategic requirements, and their journey with Elastic.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Strong customer advocacy, relationship building, and communications skills</li>\n<li>Ability to easily pivot from delivery to strategic engagements with customers</li>\n<li>Work with the wider Elastic organisation to support the customer&#39;s goals, their strategic requirements, and their journey with Elastic</li>\n<li>Ownership of the strategic roadmap with the customer including quarterly strategic sessions with senior and key stakeholders</li>\n<li>Solution design, development, and integration of Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments</li>\n<li>Comfortable working remotely in a highly distributed team</li>\n<li>Development of demos and proof-of-concepts that highlight the value of the Elastic Stack</li>\n<li>Data modelling, query development and optimisation, cluster tuning and scaling with a focus on fast search and analytics at scale</li>\n<li>Solving our customers&#39; most challenging data problems</li>\n<li>Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions</li>\n<li>Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Hands-on experience and an understanding of Elasticsearch and/or Lucene</li>\n<li>Minimum of 2 years&#39; experience as a Software Engineer, System Administrator, or DevOps Engineer</li>\n<li>Minimum of 5 years&#39; experience working as a Consultant, working to deliver and execute on professional services engagements</li>\n<li>Currently holding current UK security clearance, or has previously held security clearance, or is willing to undergo security clearance</li>\n<li>Experience as a technical instructor or public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions</li>\n<li>Excel at working directly with customers to gather, prioritise, plan and execute solutions to customer business requirements as it relates to our technologies</li>\n<li>Understanding and passion for open-source technology and knowledge and proficient in at least one programming language</li>\n<li>Hands-on experience with large distributed systems from an architecture and development perspective</li>\n<li>Knowledge of information retrieval and/or analytics domain</li>\n<li>The nature of the work that you will be doing will require a high percentage of work onsite with customers, and you should be expected to travel as a result of this requirement</li>\n<li>Understanding of Linux, Java, and databases</li>\n</ul>\n<p>Bonus Points:</p>\n<ul>\n<li>Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification</li>\n<li>BS, MS, or PhD in Computer Science or related engineering discipline</li>\n<li>Strong knowledge of Java and Linux/Unix environment, software development, and/or experience with distributed systems</li>\n<li>Experience and interest in delivering and/or developing product training</li>\n<li>Experience contributing to an open-source project or documentation</li>\n</ul>\n<p>As a distributed company, diversity drives our identity. Whether you&#39;re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn&#39;t matter if you&#39;re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.</p>\n<p>Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave</p>\n<p>Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9e36f934-a6f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7451737","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Elasticsearch","Lucene","Java","Linux","Databases","Data modelling","Query development and optimisation","Cluster tuning and scaling","Fast search and analytics at scale","Information retrieval and/or analytics domain"],"x-skills-preferred":["Elastic Certified Engineer certification","BS, MS, or PhD in Computer Science or related engineering discipline","Software development","Distributed systems","Product training","Open-source project or documentation"],"datePosted":"2026-04-18T15:43:03.779Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United Kingdom"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Elasticsearch, Lucene, Java, Linux, Databases, Data modelling, Query development and optimisation, Cluster tuning and scaling, Fast search and analytics at scale, Information retrieval and/or analytics domain, Elastic Certified Engineer certification, BS, MS, or PhD in Computer Science or related engineering discipline, Software development, Distributed systems, Product training, Open-source project or documentation"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ceba9e5b-250"},"title":"Senior Backend Engineer, Product and Infra","description":"<p>We&#39;re looking for a Senior Backend Engineer to build the systems and services that power our product experience. You&#39;ll own the backend infrastructure that makes our content discoverable, our features responsive, and our platform reliable at scale.</p>\n<p>Your work will directly shape what users experience: designing APIs that serve rich content, building services that handle real-time interactions, implementing content-matching systems for rights and safety, and ensuring our platform performs under load. You&#39;ll architect systems that are fast, correct, and maintainable.</p>\n<p>You&#39;ll collaborate closely with Product, ML Research, and Mobile/Web teams to ship features that matter. We use Python, Go, BigQuery, Pub/Sub, and a microservices architecture,but we care more about good judgment than specific tool experience.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and maintain application-level data models that organize rich content into canonical structures optimized for product features, search, and retrieval.</li>\n<li>Build high-reliability ETLs and streaming pipelines to process usage events, analytics data, behavioral signals, and application logs.</li>\n<li>Develop data services that expose unified content to the application, such as metadata access APIs, indexing workflows, and retrieval-ready representations.</li>\n<li>Implement and refine fingerprinting pipelines used for deduplication, rights attribution, safety checks, and provenance validation.</li>\n<li>Own data consistency between ingestion systems, application surfaces, metadata storage, and downstream reporting environments.</li>\n<li>Define and track key operational metrics, including latency, completeness, accuracy, and event health.</li>\n<li>Collaborate with Product teams to ensure content structures and APIs support evolving features and high-quality user experiences.</li>\n<li>Partner with Analytics and Research teams to deliver clean usage datasets for experimentation, model evaluation, reporting, and internal insights.</li>\n<li>Operate large analytical workloads in BigQuery and build reusable Dataflow/Beam components for structured processing.</li>\n<li>Improve reliability and scale by designing robust schema evolution strategies, idempotent pipelines, and well-instrumented operational flows.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Experience building production backend services and APIs at scale</li>\n<li>Experience building ETL/ELT pipelines, event processing systems, and structured data models for applications or analytics</li>\n<li>Strong background in data modeling, metadata systems, indexing, or building canonical representations for heterogeneous content</li>\n<li>Proficiency in Python, Go, SQL, and scalable data-processing frameworks (Dataflow/Beam, Spark, or similar)</li>\n<li>Familiarity with BigQuery or other analytical data warehouses and strong comfort optimizing large queries and schemas</li>\n<li>Experience with event-driven architectures, Pub/Sub, or Kafka-like systems</li>\n<li>Strong understanding of data quality, schema evolution, lineage, and operational reliability</li>\n<li>Ability to design pipelines that balance cost, latency, correctness, and scale</li>\n<li>Clear communication skills and an ability to collaborate closely with Product, Research, and Analytics stakeholders</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience building application-facing APIs or microservices that expose structured content</li>\n<li>Background in information retrieval, indexing systems, or search infrastructure</li>\n<li>Experience with fingerprinting, perceptual hashing, audio similarity metrics, or content-matching algorithms</li>\n<li>Familiarity with ML workflows and how downstream analytics and usage data feed back into research pipelines</li>\n<li>Understanding of batch + streaming architectures and how to blend them effectively</li>\n<li>Experience with Go, Next.js, or React Native for occasional full-stack contributions</li>\n</ul>\n<p><strong>Why Join Us</strong></p>\n<p>You will design the core data services and pipelines that power our product experience, analytics, and business operations. You’ll work on high-impact data challenges involving real-time signals, large-scale metadata systems, and cross-platform consistency. You’ll join a small, fast-moving team where you’ll shape the structure, reliability, and intelligence of our downstream data ecosystem.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Highly competitive salary and equity</li>\n<li>Quarterly productivity budget</li>\n<li>Flexible time off</li>\n<li>Fantastic office location in Manhattan</li>\n<li>Productivity package, including ChatGPT Plus, Claude Code, and Copilot</li>\n<li>Top-notch private health, dental, and vision insurance for you and your dependents</li>\n<li>401(k) plan options with employer matching</li>\n<li>Concierge medical/primary care through One Medical and Rightway</li>\n<li>Mental health support from Spring Health</li>\n<li>Personalized life insurance, travel assistance, and many other perks</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ceba9e5b-250","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Udio","sameAs":"https://www.udio.com/","logo":"https://logos.yubhub.co/udio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/udio/jobs/4987729008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000 - $220,000","x-skills-required":["Python","Go","BigQuery","Pub/Sub","Data modeling","Metadata systems","Indexing","Canonical representations","ETL/ELT pipelines","Event processing systems","Structured data models","Scalable data-processing frameworks","Analytical data warehouses","Event-driven architectures","Kafka-like systems","Data quality","Schema evolution","Lineage","Operational reliability"],"x-skills-preferred":["Application-facing APIs","Microservices","Information retrieval","Indexing systems","Search infrastructure","Fingerprinting","Perceptual hashing","Audio similarity metrics","Content-matching algorithms","ML workflows","Batch + streaming architectures"],"datePosted":"2026-04-17T13:05:20.076Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, BigQuery, Pub/Sub, Data modeling, Metadata systems, Indexing, Canonical representations, ETL/ELT pipelines, Event processing systems, Structured data models, Scalable data-processing frameworks, Analytical data warehouses, Event-driven architectures, Kafka-like systems, Data quality, Schema evolution, Lineage, Operational reliability, Application-facing APIs, Microservices, Information retrieval, Indexing systems, Search infrastructure, Fingerprinting, Perceptual hashing, Audio similarity metrics, Content-matching algorithms, ML workflows, Batch + streaming architectures","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d3eba8b4-f49"},"title":"Staff Research Engineer","description":"<p>We are seeking a Staff Research Engineer to join our Artist-First AI Music lab.</p>\n<p>Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives.</p>\n<p>All of our products will put artists and songwriters first, through four key principles:</p>\n<ul>\n<li><p>Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.</p>\n</li>\n<li><p>Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.</p>\n</li>\n<li><p>Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.</p>\n</li>\n<li><p>Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans.</p>\n</li>\n</ul>\n<p>As a Staff Research Engineer, you will work side-by-side with research scientists to conduct groundbreaking research in music generation, improve model training pipelines, optimize performance, integrate models into production environments, and maintain a high-quality codebase.</p>\n<p>You will have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks, working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure, and debugging problems in machine learning training code.</p>\n<p>You will also communicate effectively with global teams and be ready to work both face-to-face and asynchronously with collaborators on multiple continents.</p>\n<p>If you are resourceful and proactive, enjoy learning new concepts and technologies quickly, and are not afraid to dig deep into the stack, we encourage you to apply for this role.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d3eba8b4-f49","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/40fee238-4ba5-4f65-bd6a-c655774d7ce0","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["PyTorch","GPU","Cloud platforms","Machine learning","Audio processing","Music information retrieval"],"x-skills-preferred":[],"datePosted":"2026-03-31T18:27:24.367Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"EMEA region"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PyTorch, GPU, Cloud platforms, Machine learning, Audio processing, Music information retrieval"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1e8b38a3-23c"},"title":"Senior Research Engineer","description":"<p>We are seeking a Senior Research Engineer to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives.</p>\n<p>Our products will put artists and songwriters first, through four key principles:</p>\n<ul>\n<li>Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.</li>\n<li>Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.</li>\n<li>Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.</li>\n<li>Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans.</li>\n</ul>\n<p>As a Senior Research Engineer, you will work side-by-side with research scientists to conduct groundbreaking research in music generation, improve model training pipelines, optimize performance, integrate models into production environments, and maintain a high-quality codebase.</p>\n<p>You have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks, working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure, and debugging problems in machine learning training code. You communicate effectively with global teams and are ready to work both face-to-face and asynchronously with collaborators on multiple continents.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1e8b38a3-23c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/631e80ca-90b9-4b40-a433-ba6f57d68b52","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["PyTorch","GPU","Cloud computing","Machine learning","Audio processing","Music information retrieval"],"x-skills-preferred":[],"datePosted":"2026-03-31T18:18:58.451Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"EMEA region"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PyTorch, GPU, Cloud computing, Machine learning, Audio processing, Music information retrieval"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_00758da8-c3d"},"title":"Senior Research Engineer","description":"<p>We are seeking a Senior Research Engineer to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists.</p>\n<p>Our products will put artists and songwriters first, through four key principles:</p>\n<ul>\n<li>Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.</li>\n<li>Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.</li>\n<li>Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.</li>\n<li>Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans.</li>\n</ul>\n<p>As a Senior Research Engineer, you will work side-by-side with research scientists to conduct groundbreaking research in music generation, improve model training pipelines, optimize performance, integrate models into production environments, and maintain a high-quality codebase.</p>\n<p>You will have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks, working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure, and debugging problems in machine learning training code.</p>\n<p>You will also communicate effectively with global teams and be ready to work both face-to-face and asynchronously with collaborators on multiple continents.</p>\n<p>You will have experience optimizing code for performance, learning new concepts and technologies quickly, and being resourceful and proactive when faced with blockers.</p>\n<p>You will be responsible for building internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient for the whole team.</p>\n<p>You will have a solid grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like.</p>\n<p>You will have an interest in learning more about audio processing and music information retrieval and be excited about building amazing products that use these technologies.</p>\n<p>You will be able to work where you work best, with the flexibility to work within the North America region as long as we have a work location.</p>\n<p>Core working hours are CET 3pm-6pm / EST 9am-12pm.</p>\n<p>The United States base range for this position is $176,166 - $251,666 plus equity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_00758da8-c3d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/cb9f8bda-6e7e-4b22-b9ed-ee229770ca13","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$176,166 - $251,666","x-skills-required":["PyTorch","Google Cloud Platform","AWS","Microsoft Azure","machine learning","GPU","cloud computing","debugging","code optimization","computer science","audio processing","music information retrieval"],"x-skills-preferred":[],"datePosted":"2026-03-31T18:18:43.451Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"North America"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PyTorch, Google Cloud Platform, AWS, Microsoft Azure, machine learning, GPU, cloud computing, debugging, code optimization, computer science, audio processing, music information retrieval","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":176166,"maxValue":251666,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bfb338dc-601"},"title":"Research Scientist","description":"<p>We are seeking a Research Scientist to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists.</p>\n<p>Our products will put artists and songwriters first, through four key principles:</p>\n<ul>\n<li>Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.</li>\n<li>Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.</li>\n<li>Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.</li>\n<li>Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans.</li>\n</ul>\n<p>As a Research Scientist, you will conduct groundbreaking research in music generation, run large-scale experiments, create practical applications, and collaborate with a cross-functional team to craft innovative solutions to complex challenges.</p>\n<p>You will have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization. You will also engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.</p>\n<p>We offer a flexible work arrangement, allowing you to work where you work best, as long as you are within the EMEA region and operate within the Central European and GMT time zone for collaboration.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_bfb338dc-601","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/bd54129d-d6d6-4ffd-a25a-dd240374a0ce","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["generative modeling","machine learning","music information retrieval","speech processing","audio processing","signal processing","probabilistic modeling","computer vision"],"x-skills-preferred":["Python","PyTorch","NumPy"],"datePosted":"2026-03-31T18:16:49.236Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"EMEA region"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, Python, PyTorch, NumPy"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_55f868ee-839"},"title":"Staff Research Scientist","description":"<p>We are seeking a Staff Research Scientist to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists.</p>\n<p>Our products will put artists and songwriters first, through four key principles:</p>\n<ul>\n<li><p>Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.</p>\n</li>\n<li><p>Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.</p>\n</li>\n<li><p>Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.</p>\n</li>\n<li><p>Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans.</p>\n</li>\n</ul>\n<p>As a Staff Research Scientist, you will conduct groundbreaking research in music generation, run large-scale experiments, create practical applications, and collaborate with a cross-functional team to craft innovative solutions to complex challenges.</p>\n<p>You will have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization. You will also engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.</p>\n<p>We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location. This team operates within the Eastern Standard time zone for collaboration.</p>\n<p>Core working hours are CET 3pm-6pm / EST 9am-12pm.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_55f868ee-839","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/33114d31-b3d0-4bbb-bf7c-ab32596e8969","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$203,795 - $291,136 plus equity","x-skills-required":["Python","PyTorch","NumPy","generative modeling","machine learning","music information retrieval","speech processing","audio processing","signal processing","probabilistic modeling","computer vision"],"x-skills-preferred":[],"datePosted":"2026-03-31T18:13:35.727Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"North America"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, NumPy, generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":203795,"maxValue":291136,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_787f8082-bf4"},"title":"Software Engineer, Knowledge and Search","description":"<p>We are seeking a talented and experienced software engineer to join our Knowledge and Search engineering team. You will be responsible for designing, implementing and scaling our search capabilities supporting the needs of our users and internal systems.</p>\n<p>The Knowledge &amp; Search team is the backbone that connects our customers to the information they need. We are looking for an experienced software engineer to lead our indexing and searching capabilities. In this role, you will work closely with our data and infrastructure teams to build, maintain and scale our search platform while ensuring a high-level of performance and reliability.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Building, maintaining and enhancing a fast, reliable and scalable indexing and searching capabilities (web and knowledge)</li>\n<li>Working with search-oriented databases to optimise and fine-tune full search pipelines from document ingestion to retrieval</li>\n<li>Owning our information retrieval systems serving both our internal needs as well as our enterprise customers</li>\n<li>Ensuring that our search capabilities meet the increasing demands of our customers</li>\n<li>Collaborate with internal and external stakeholders to push the boundaries of search reliability, performance, and scale across a range and cloud-native and on-premise services.</li>\n</ul>\n<p>About you:</p>\n<ul>\n<li>7+ years of relevant professional work experience</li>\n<li>Master’s degree in Computer Science, Information Technology or a related field</li>\n<li>Experience building and scaling distributed search engine systems</li>\n<li>Excellent proficiency in backend software development (Python, Go, C++, Rust...)</li>\n<li>Solid proficiency in infrastructure management (Docker, CI/CD, Helm, K8s, Terraform...)</li>\n<li>Good knowledge of cloud-native ecosystems</li>\n<li>Autonomous and self-starter</li>\n<li>Ability to communicate with influence</li>\n</ul>\n<p>Now, it would be ideal if you had experience with:</p>\n<ul>\n<li>AI/ML engineering</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_787f8082-bf4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai/careers"},"x-apply-url":"https://jobs.lever.co/mistral/70d5293a-9183-40d9-874a-cc08a14d5de6","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["backend software development","infrastructure management","cloud-native ecosystems","search engine systems","information retrieval systems"],"x-skills-preferred":["AI/ML engineering"],"datePosted":"2026-03-10T11:33:01.327Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"backend software development, infrastructure management, cloud-native ecosystems, search engine systems, information retrieval systems, AI/ML engineering"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c952dc65-160"},"title":"AI Machine Learning Engineer: AI Shopping Agents","description":"<p><strong>About Us</strong></p>\n<p>Constructor is a U.S. based company that has been in the market since 2019, building a next-generation platform for search and discovery in ecommerce. Its search engine is entirely invented in-house, utilizing transformers and generative LLMs, and powers over 1 billion queries every day across 150 languages and roughly 100 countries.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Architect and build real-time agentic workflows to handle complex, multi-step user tasks and open-ended queries, providing users with accurate and contextually relevant answers and product suggestions</li>\n<li>Own the end-to-end data lifecycle for AI workflows, including vector database ingestion and indexing</li>\n<li>Design metrics to evaluate the relevance and performance of query results, ensuring alignment with business goals and user expectations</li>\n<li>Generate and rapidly prototype novel product hypotheses that leverage LLMs, RAG, and agentic systems</li>\n<li>Collaborate closely with Product, Design, Analytics, and other engineering teams to translate AI capabilities into tangible, high-quality product features</li>\n<li>Improve the speed, quality, and efficiency of our AI systems and engineering processes</li>\n<li>Take ownership of systems and designs from conception through to deployment and maintenance</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>4+ years of industry experience in related fields, including search, information retrieval, recommendation systems, applied machine learning, and NLP</li>\n<li>Excellent skills in delivering and communicating business value</li>\n<li>Proficient in Python, SQL, and the big data stack for end-to-end ML product development, with experience across the entire pipeline in typical recommendation systems or LLM-based solutions</li>\n<li>Strong grasp of Information Retrieval (IR) techniques (e.g., dense retrieval, re-ranking, chunking strategies)</li>\n<li>Direct experience with Retrieval-Augmented Generation (RAG); experience building autonomous agents is a strong plus</li>\n<li>Nice to have: experience with automatic prompt optimization techniques (e.g., DSPy)</li>\n<li>Solid understanding of ML evaluation methodologies and key IR metrics</li>\n<li>Passion for shipping high-quality products and a self-motivated drive to take ownership of tasks</li>\n</ul>\n<p><strong>Tech Stack</strong></p>\n<ul>\n<li>Core: Python, FastAPI, asyncio, Airflow, Luigi, PySpark, Docker, LangGraph</li>\n<li>Data Stores: Vector Databases, DynamoDB, AWS S3, AWS RDS</li>\n<li>Cloud &amp; MLOps: AWS, Databricks, Ray</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year</li>\n<li>Fully remote team - choose where you live</li>\n<li>Work from home stipend! We want you to have the resources you need to set up your home office</li>\n<li>Apple laptops provided for new employees</li>\n<li>Training and development budget for every employee, refreshed each year</li>\n<li>Maternity &amp; Paternity leave for qualified employees</li>\n<li>Work with smart people who will help you grow and make a meaningful impact</li>\n<li>This position has a base salary range between $80k and $120k USD.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c952dc65-160","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Constructor","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/D15079EEBA","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$80k - $120k USD","x-skills-required":["Python","SQL","big data stack","Information Retrieval (IR) techniques","Retrieval-Augmented Generation (RAG)","automatic prompt optimization techniques"],"x-skills-preferred":["DSPy"],"datePosted":"2026-03-09T10:57:19.254Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oregon"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, big data stack, Information Retrieval (IR) techniques, Retrieval-Augmented Generation (RAG), automatic prompt optimization techniques, DSPy","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":80000,"maxValue":120000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4bd6468f-bc0"},"title":"Senior Applied Scientist","description":"<p>We&#39;re building the next-generation Grounding Service that powers the latest AI applications—chat assistants, copilots, and autonomous agents—with factual, cited, and trustworthy responses. Our platform stitches together retrieval, reasoning, and real-time data so that large language models stay anchored to enterprise knowledge, the public web, and proprietary tools.</p>\n<p>We&#39;re looking for a Senior Applied Scientist to lead end-to-end science for grounding: inventing retrieval and attribution methods, defining factuality/faithfulness metrics, and shipping production models and APIs that scale to billions of queries. You&#39;ll partner closely with engineering, product, research, and customers to deliver fast, reliable, and explainable answers with source citations across a diverse set of domains and modalities.</p>\n<p>As a team, we value curiosity, pragmatic rigor, and inclusive collaboration. We believe great systems emerge when scientists and engineers co-design metrics, models, and infrastructure—and when we obsess over customer impact, privacy, and safety.</p>\n<p>Responsibilities\n Owns the science roadmap for grounding—including retrieval, re-ranking, attribution, and reasoning—driving initiatives from problem framing to production impact.\n Designs and evolves state-of-the-art retrieval and RAG orchestration across documents, tables, code, and images.\n Builds citation and provenance systems (e.g., passage highlighting, quote-level alignment, confidence scoring) to reduce hallucinations and increase user trust.\n Leads experimentation and evaluation using A/B testing, interleaving, NDCG, MRR, precision/recall, and calibration curves to guide measurable trade-offs.\n Advances tool-augmented grounding through schema-aware retrieval, function calling, knowledge graph joins, and real-time connectors to databases, cloud object stores, search indexes, and the web.\n Partners with platform engineering to productionize models with scalable inference, embedding services, feature stores, caching, and privacy-compliant multi-tenant systems.\n Nurtures collaborative relationships with product and business leaders across Microsoft, influencing strategic decisions and driving business impact through technology.\n Authors white papers, contributes to internal tools and services, and may publish research to generate intellectual property.\n Bridges the gap between researchers (e.g., Microsoft Research) and development teams, applying long-term research to solve immediate product needs.\n Leads high-stakes negotiations to ensure cutting-edge technologies are applied practically and effectively.\n Identifies and solves significant business problems using novel, scalable, and data-driven solutions.\n Shapes the direction of Microsoft and the broader industry through pioneering product and tooling work.\n Mentors applied scientists and data scientists, establishing best practices in experimentation, error analysis, and incident review.\n Collaborates cross-functionally with PMs, research, infrastructure, and security teams to align on milestones, SLAs, and safety protocols.\n Communicates clearly through design documentation, progress updates, and presentations to executives and customers.\n Contributes to ethics and privacy policies, identifies bias in product development, and proposes mitigation strategies.</p>\n<p>Qualifications\n Required Qualifications:\n  Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)\n  OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)\n  OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)\n  OR equivalent experience.\n  Minimum of 4 years of hands-on experience designing and building search, retrieval, or ranking systems.\n  Proven track record of shipping LLM-powered or Retrieval-Augmented Generation (RAG) systems into production environments.\n  Solid coding skills and solid foundation in machine learning, with the ability to implement and optimize models effectively.\n  Demonstrated ability to lead through ambiguity, make principled trade-offs, and deliver measurable impact in cross-functional, fast-paced settings.\n Preferred Qualifications:\n  Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)\n  OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)\n  OR equivalent experience.\n  Demonstrated expertise in information retrieval, with publications in top-tier conferences or journals such as NeurIPS, ICML, ICLR, SIGIR, or ACL.\n  Hands-on experience in large language model (LLM) development, including pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL).\n  Proven track record in optimizing LLM inference, or active contributions to open-source frameworks like vLLM, SGLang, or related projects.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4bd6468f-bc0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-applied-scientist-38/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Statistics","Econometrics","Computer Science","Electrical or Computer Engineering","Search","Retrieval","Ranking","Machine Learning","Information Retrieval","Large Language Models","Pretraining","Supervised Fine-Tuning","Reinforcement Learning"],"x-skills-preferred":["Information Retrieval","Large Language Models","Pretraining","Supervised Fine-Tuning","Reinforcement Learning"],"datePosted":"2026-03-08T22:18:58.169Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Suzhou"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, Search, Retrieval, Ranking, Machine Learning, Information Retrieval, Large Language Models, Pretraining, Supervised Fine-Tuning, Reinforcement Learning, Information Retrieval, Large Language Models, Pretraining, Supervised Fine-Tuning, Reinforcement Learning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d0214534-b6a"},"title":"Senior Applied Scientist","description":"<p>We&#39;re building the next-generation Grounding Service that powers the latest AI applications—chat assistants, copilots, and autonomous agents—with factual, cited, and trustworthy responses. Our platform stitches together retrieval, reasoning, and real-time data so that large language models stay anchored to enterprise knowledge, the public web, and proprietary tools. We&#39;re looking for a Senior Applied Scientist to lead end-to-end science for grounding: inventing retrieval and attribution methods, defining factuality/faithfulness metrics, and shipping production models and APIs that scale to billions of queries. You&#39;ll partner closely with engineering, product, research, and customers to deliver fast, reliable, and explainable answers with source citations across a diverse set of domains and modalities. As a team, we value curiosity, pragmatic rigor, and inclusive collaboration. We believe great systems emerge when scientists and engineers co-design metrics, models, and infrastructure—and when we obsess over customer impact, privacy, and safety. Microsoft&#39;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Responsibilities</p>\n<p>Owns the science roadmap for grounding—including retrieval, re-ranking, attribution, and reasoning—driving initiatives from problem framing to production impact. Designs and evolves state-of-the-art retrieval and RAG orchestration across documents, tables, code, and images. Builds citation and provenance systems (e.g., passage highlighting, quote-level alignment, confidence scoring) to reduce hallucinations and increase user trust. Leads experimentation and evaluation using A/B testing, interleaving, NDCG, MRR, precision/recall, and calibration curves to guide measurable trade-offs. Advances tool-augmented grounding through schema-aware retrieval, function calling, knowledge graph joins, and real-time connectors to databases, cloud object stores, search indexes, and the web. Partners with platform engineering to productionize models with scalable inference, embedding services, feature stores, caching, and privacy-compliant multi-tenant systems. Nurtures collaborative relationships with product and business leaders across Microsoft, influencing strategic decisions and driving business impact through technology. Authors white papers, contributes to internal tools and services, and may publish research to generate intellectual property. Bridges the gap between researchers (e.g., Microsoft Research) and development teams, applying long-term research to solve immediate product needs. Leads high-stakes negotiations to ensure cutting-edge technologies are applied practically and effectively. Identifies and solves significant business problems using novel, scalable, and data-driven solutions. Shapes the direction of Microsoft and the broader industry through pioneering product and tooling work. Mentors applied scientists and data scientists, establishing best practices in experimentation, error analysis, and incident review. Collaborates cross-functionally with PMs, research, infrastructure, and security teams to align on milestones, SLAs, and safety protocols. Communicates clearly through design documentation, progress updates, and presentations to executives and customers. Contributes to ethics and privacy policies, identifies bias in product development, and proposes mitigation strategies.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d0214534-b6a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-applied-scientist-37/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Statistics","Econometrics","Computer Science","Electrical or Computer Engineering","Machine Learning","Information Retrieval","Large Language Model Development","Pretraining","Supervised Fine-Tuning","Reinforcement Learning","Optimizing LLM Inference"],"x-skills-preferred":["Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field","6+ years related experience (e.g., statistics, predictive analytics, research)","Demonstrated expertise in information retrieval, with publications in top-tier conferences or journals such as NeurIPS, ICML, ICLR, SIGIR, or ACL","Hands-on experience in large language model (LLM) development, including pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL)","Proven track record in optimizing LLM inference, or active contributions to open-source frameworks like vLLM, SGLang, or related projects"],"datePosted":"2026-03-08T22:16:41.766Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beijing"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, Machine Learning, Information Retrieval, Large Language Model Development, Pretraining, Supervised Fine-Tuning, Reinforcement Learning, Optimizing LLM Inference, Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, 6+ years related experience (e.g., statistics, predictive analytics, research), Demonstrated expertise in information retrieval, with publications in top-tier conferences or journals such as NeurIPS, ICML, ICLR, SIGIR, or ACL, Hands-on experience in large language model (LLM) development, including pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL), Proven track record in optimizing LLM inference, or active contributions to open-source frameworks like vLLM, SGLang, or related projects"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_651a81aa-1bc"},"title":"Software Engineer Systems Research Internship","description":"<p><strong>Software Engineer Systems Research Internship, Applied Emerging Talent (Summer 2026)</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Intern</p>\n<p><strong>Location Type</strong></p>\n<p>On-site</p>\n<p><strong>Department</strong></p>\n<p>Applied AI</p>\n<p><strong>Deadline to Apply</strong></p>\n<p>March 11, 2026 at 3:00 AM EDT</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$67 per hour</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products.</p>\n<p><strong>About the Role</strong></p>\n<p>A systems research internship is for people who love the real-world intersection of systems-engineering and research: you’ll investigate a hard systems problem, build something meaningful, and measure it carefully. The goal is practical impact—making Applied Systems better: more efficient, more scalable, and more reliable.</p>\n<p>OpenAI is currently recruiting for candidates interested in a 13-week, paid, in-person internship based in our San Francisco office during Summer 2026. In some cases, it may be extended for an additional 13 weeks (for a total of up to 26 weeks), based on team needs, candidate interest, and performance.</p>\n<p><strong>In this role, you will typically focus on improving real systems in areas like:</strong></p>\n<ul>\n<li>Distributed systems &amp; storage (throughput, latency, consistency, durability)</li>\n</ul>\n<ul>\n<li>Compute &amp; scheduling (GPU/accelerator utilization, job orchestration, queuing)</li>\n</ul>\n<ul>\n<li>Performance engineering (profiling, bottlenecks, scalability, capacity planning)</li>\n</ul>\n<ul>\n<li>Reliability &amp; observability (fault tolerance, monitoring, incident learning)</li>\n</ul>\n<ul>\n<li>Networking &amp; data pipelines (data movement, caching, streaming efficiency)</li>\n</ul>\n<ul>\n<li>Systems for ML (training/inference performance, evaluation infrastructure, tooling)</li>\n</ul>\n<p>Most projects involve some of these steps:</p>\n<ul>\n<li>Defining a clear hypothesis (“we think X will reduce latency by Y under Z”)</li>\n</ul>\n<ul>\n<li>Instrumenting existing production systems, gathering metrics and detailed analysis to validate the hypothesis</li>\n</ul>\n<ul>\n<li>Building or modifying a real system (prototype or production-quality improvements when appropriate)</li>\n</ul>\n<ul>\n<li>Running experiments/benchmarks and analyzing results</li>\n</ul>\n<ul>\n<li>Communicating tradeoffs and recommendations clearly</li>\n</ul>\n<ul>\n<li>Publishing the research work in technical journals and conferences</li>\n</ul>\n<p><strong>Your background looks something like:</strong></p>\n<ul>\n<li>Currently pursuing a PhD in Computer Science, Computer Engineering, or relevant technical field</li>\n</ul>\n<ul>\n<li>Proficiency with Coding in c++, Java, python, rust, etc</li>\n</ul>\n<ul>\n<li>Doing ongoing research on systems topics such as DL/ML, information retrieval, systems security and cryptography, databases, networking, distributed systems, and compilers, etc</li>\n</ul>\n<ul>\n<li>Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_651a81aa-1bc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/13a9e4e4-505b-4545-8b2b-b0bcc09c2b4f","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"internship","x-salary-range":"$67 per hour","x-skills-required":["c++","Java","python","rust","distributed systems","storage","compute","scheduling","performance engineering","reliability","observability","networking","data pipelines","systems for ML"],"x-skills-preferred":["DL/ML","information retrieval","systems security and cryptography","databases","networking","distributed systems","compilers"],"datePosted":"2026-03-06T18:22:48.817Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"c++, Java, python, rust, distributed systems, storage, compute, scheduling, performance engineering, reliability, observability, networking, data pipelines, systems for ML, DL/ML, information retrieval, systems security and cryptography, databases, networking, distributed systems, compilers"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3f5ece56-eaa"},"title":"Senior Machine Learning Engineer, AI Platform - PhD Early Career","description":"<p><strong>[2026] Senior Machine Learning Engineer, AI Platform - PhD Early Career</strong></p>\n<p>San Mateo, CA, United States</p>\n<p>Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.</p>\n<p>At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.</p>\n<p>A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</p>\n<p><strong>You Will</strong></p>\n<p>As a Senior Machine Learning Engineer on the AI Platform team, you will be a key contributor to building the cutting-edge systems that power AI at Roblox. You will focus on one of three high-impact tracks:</p>\n<p><strong>Track 1: AI Platform Projects</strong></p>\n<ul>\n<li>Pioneer next-generation AI tooling to enhance the efficiency, cost, and usability of ML@Roblox.</li>\n<li>Build and maintain core platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes.</li>\n<li>Design great developer experiences (paved-road templates, tooling, visualizations) to reduce time-to-production and ensure foundational AI systems are scalable and reliable.</li>\n</ul>\n<p><strong>Track 2: Distributed Inference &amp; Systems Optimization</strong></p>\n<ul>\n<li>Architect and implement scalable distributed inference systems for efficiently serving LLMs and Large Recommender Models at massive scale.</li>\n<li>Conduct deep, low-level performance analysis and optimize ML models (using techniques like continuous batching, speculative decoding, and quantization) and systems on GPU architectures to maintain peak performance and stability.</li>\n</ul>\n<p><strong>Track 3: Information Retrieval &amp; RAG for Gen AI</strong></p>\n<ul>\n<li>Lead the design and development of Retrieval-Augmented Generation (RAG) systems.</li>\n<li>Build and maintain core information retrieval infrastructure—vector databases and knowledge graphs—to enable accurate grounding of Gen AI models.</li>\n<li>Ship language models and 3D objects as a service for the Roblox community, making creation easier.</li>\n</ul>\n<p><strong>You Have</strong></p>\n<ul>\n<li>Possessing or pursuing a Ph.D. in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field, with a thesis aligned to Roblox’s research areas.</li>\n<li>Experience with high performance distributed systems, ML Infrastructure, LLM fine tuning/RL, Information Retrieval and Gen AI context generation.</li>\n<li>Expertise in one or more of the following key areas:</li>\n<li>AI/ML Platform Data stores - Features stores, Vector DBs and Knowledge Graphs.</li>\n<li>LLMs - Fine tuning, Safety.</li>\n<li>Agentic systems - Agent evaluation, context engineering.</li>\n</ul>\n<ul>\n<li>Experience building agentic applications with context for real world applications.</li>\n<li>Collaborative mindset and experience integrating and deploying optimized models with cross-functional teams, including data scientists and software engineers.</li>\n<li>Experience with graph databases and large-scale GNNs (Graph Neural Networks)</li>\n<li>Experience working with Kubernetes</li>\n<li>Experience working with one or more cloud providers (e.g., AWS, Azure, GCP)</li>\n<li>Experience working with high availability systems</li>\n<li>Experience working with ML models, LLMs or other AI systems</li>\n</ul>\n<p>You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.</p>\n<p>As you apply, you can find more information about our process by signing up for Speak\\_. You&#39;ll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process.</p>\n<p>For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on <strong>this page</strong>.</p>\n<p>Annual Salary Range</p>\n<p>$195,780—$242,100 USD</p>\n<p>Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3f5ece56-eaa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Roblox","sameAs":"https://careers.roblox.com","logo":"https://logos.yubhub.co/careers.roblox.com.png"},"x-apply-url":"https://careers.roblox.com/jobs/7403998","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$195,780—$242,100 USD","x-skills-required":["AI/ML Platform Data stores","LLMs","Agentic systems","Graph databases","Kubernetes","Cloud providers","High availability systems","ML models","LLMs","AI systems"],"x-skills-preferred":["Distributed systems","ML Infrastructure","RL","Information Retrieval","Gen AI context generation","Vector databases","Knowledge graphs"],"datePosted":"2026-03-06T14:19:52.481Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI/ML Platform Data stores, LLMs, Agentic systems, Graph databases, Kubernetes, Cloud providers, High availability systems, ML models, LLMs, AI systems, Distributed systems, ML Infrastructure, RL, Information Retrieval, Gen AI context generation, Vector databases, Knowledge graphs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":195780,"maxValue":242100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5276e91e-221"},"title":"Senior Machine Learning Engineer, Recommendation Systems - PhD Early Career","description":"<p><strong>[2026] Senior Machine Learning Engineer, Recommendation Systems - PhD Early Career</strong></p>\n<p>San Mateo, CA, United States</p>\n<p>Early Career</p>\n<p>ID: 5471</p>\n<p>Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.</p>\n<p>At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.</p>\n<p>We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.</p>\n<p>A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</p>\n<p>Recommendation Systems are a key growth lever at Roblox, driving retention, engagement, and monetization for hundreds of millions of users. This role offers the unique opportunity to redefine how users search and discover everything from the most interesting immersive experiences and digital avatars in our Marketplace to personalized advertising. You will solve a diverse range of high-scale ranking, retrieval, and personalization problems across our platform.</p>\n<p>We combine cutting-edge research —including deep learning, generative AI, and reinforcement learning techniques— with large-scale engineering to bridge experimentation and production; you&#39;ll design algorithms that operate at massive scale and shape the next generation of recommender systems for user-generated content.</p>\n<p><strong>Teams Hiring for This Role</strong></p>\n<ul>\n<li><strong>Search:</strong> powers major recommendation surfaces—drives user engagement by redesigning core surfaces and search/homepage ranking</li>\n</ul>\n<ul>\n<li><strong>Notifications:</strong> owns the distributed systems and ML platform that transform billions of Roblox signals into high‑value notifications for hundreds of millions of players.</li>\n</ul>\n<ul>\n<li><strong>Economy:</strong> builds the ML backbone for marketplace, monetization, and commerce (including fraud, pricing, and bundling)</li>\n</ul>\n<ul>\n<li><strong>Ads &amp; Brands:</strong> focuses on ranking, retrieval, and marketplace/auction theory to optimize sponsored content delivery.</li>\n</ul>\n<ul>\n<li><strong>Safety, Alt Defense:</strong> architects a massive-scale detection engine that identifies recidivist bad actors across billions of accounts to ensure the long-term integrity of the Roblox community.</li>\n</ul>\n<p><strong>You Will</strong></p>\n<ul>\n<li>Design and implement large-scale recommendation systems that power discovery across Roblox’s surfaces — experiences, avatars, and creator content.</li>\n</ul>\n<ul>\n<li>Develop deep learning models for ranking, retrieval, and personalization using approaches in multimodal models, LLMs, and generative AI.</li>\n</ul>\n<ul>\n<li>Collaborate with applied researchers, engineers, and product teams to advance experimentation and accelerate innovation.</li>\n</ul>\n<ul>\n<li>Translate research into production systems that impact hundreds of millions of daily active users.</li>\n</ul>\n<ul>\n<li>Work backward from user and product needs to deliver ML solutions that drive engagement, retention, and ecosystem growth.</li>\n</ul>\n<p><strong>You Have</strong></p>\n<ul>\n<li>Possessing or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas.</li>\n</ul>\n<ul>\n<li>Expertise in one or more areas: recommender systems, search systems, information retrieval, or generative models (e.g., LLMs, VLMs, VLAs)</li>\n</ul>\n<ul>\n<li>Ability to design and architect systems for efficient personalization and user interest modeling using advanced attention mechanisms (e.g., sparse/linear attention).</li>\n</ul>\n<ul>\n<li>A strong research track record, evidenced by multiple publications and presentations in top-tier, peer-reviewed venues (e.g., SIGIR, KDD, RecSys, ICLR, ICML, NeurIPS)</li>\n</ul>\n<ul>\n<li>Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems.</li>\n</ul>\n<p>You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.</p>\n<p>As you apply, you can find more information about our process by signing up for Speak\\_. You&#39;ll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process.</p>\n<p>For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on <strong>this page</strong>.</p>\n<p>Annual Salary Range</p>\n<p>$195,780—$242,100 USD</p>\n<p>Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5276e91e-221","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Roblox","sameAs":"https://careers.roblox.com","logo":"https://logos.yubhub.co/careers.roblox.com.png"},"x-apply-url":"https://careers.roblox.com/jobs/7350081","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$195,780—$242,100 USD","x-skills-required":["recommender systems","search systems","information retrieval","generative models","deep learning","generative AI","reinforcement learning","multimodal models","LLMs","VLMs","VLAs","Python","C++","Go","Java"],"x-skills-preferred":["sparse/linear attention","top-tier, peer-reviewed venues","SIGIR","KDD","RecSys","ICLR","ICML","NeurIPS"],"datePosted":"2026-03-06T14:17:16.772Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"recommender systems, search systems, information retrieval, generative models, deep learning, generative AI, reinforcement learning, multimodal models, LLMs, VLMs, VLAs, Python, C++, Go, Java, sparse/linear attention, top-tier, peer-reviewed venues, SIGIR, KDD, RecSys, ICLR, ICML, NeurIPS","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":195780,"maxValue":242100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f5e6e615-f4f"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Principal Applied Scientist at their Bengaluru office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising the field of artificial intelligence. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI and research organization.</p>\n<p><strong>About the Role</strong></p>\n<p>We are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to machine learning, deep learning, natural language processing, multi-arm bandit, optimization, information retrieval, and auction theory, among others. Our work entails building large-scale machine learning systems for ad matching, filtration, ranking, and multi objective optimization, and several other ML-driven business problems.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Conduct in-depth market research across AI and research sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company&#39;s quarterly strategic planning sessions</li>\n<li>Design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>MS/BS in CS/EE, mathematical or machine learning related disciplines, with 10 or more years of experience</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Solid understanding of probability, statistics, machine learning, data science</li>\n<li>A/B testing &amp; analysis of ML models, and optimizing models for accuracy</li>\n<li>Experience with Hadoop, Spark, or other distributed computing systems for large-scale training &amp; prediction with ML models</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>End-to-end system design: data analysis, feature engineering, technique selection &amp; implementation, debugging, and maintenance in production</li>\n<li>Experience implementing machine learning algorithms or research papers from scratch</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package</li>\n<li>Opportunities for professional growth and development</li>\n<li>Collaborative and dynamic work environment</li>\n<li>Access to cutting-edge technology and resources</li>\n<li>Flexible work arrangements and work-life balance</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f5e6e615-f4f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-2/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package","x-skills-required":["machine learning","deep learning","natural language processing","multi-arm bandit","optimization","information retrieval","auction theory"],"x-skills-preferred":["TensorFlow","PyTorch","Hadoop","Spark"],"datePosted":"2026-03-06T07:33:46.212Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, deep learning, natural language processing, multi-arm bandit, optimization, information retrieval, auction theory, TensorFlow, PyTorch, Hadoop, Spark"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_76d1916c-bb4"},"title":"Applied Scientist II","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Applied Scientist II at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI market.</p>\n<p><strong>About the Role</strong></p>\n<p>Our team focuses on understanding and predicting how the user interacts with the ads on the search results page. The probability that a user will click on an ad is one of the most critical inputs used in ranking the ads. Similarly, the probability of interacting with the advertiser’s page is important for measuring advertiser and user satisfaction. This position as an Applied Scientist II is for the modeling team, which builds machine learned models for predicting such events.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Designing and building efficient models for predicting user interactions with ads and advertiser’s pages.</li>\n<li>Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research).</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Excellent problem solving and data analysis skills, effective communication skills, both verbal and written.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary.</li>\n<li>Comprehensive benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_76d1916c-bb4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/applied-scientist-ii-5/","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"USD $100,600 – $199,000 per year","x-skills-required":["statistical machine learning","deep learning","data mining","causal inference","information retrieval","game theory","mechanism design","optimization","Bayesian inference"],"x-skills-preferred":["research experience in statistical machine learning, deep learning, data mining, causal inference, information retrieval, and Bayesian inference"],"datePosted":"2026-03-06T07:32:51.127Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization, Bayesian inference, research experience in statistical machine learning, deep learning, data mining, causal inference, information retrieval, and Bayesian inference","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":100600,"maxValue":199000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2ab57edf-94a"},"title":"Senior Applied Scientist - Bing Search","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Senior Applied Scientist at their Beijing office. This role sits at the heart of Bing&#39;s search engine, managing tens of thousands of machines and delivering backend search services for document selection and ranking at massive scale.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Senior Applied Scientist on the Bing Search Fundamental Team, you will be responsible for designing systems that can search through hundreds of billions of documents in just milliseconds. You will work alongside some of the brightest minds in the industry on projects that will make a lasting impact. Your expertise in Deep Learning, especially Natural Language Processing (NLP), will be crucial in driving best practices and common patterns across teams.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Expertise in Deep Learning, especially NLP, that power Bing search.</li>\n<li>Influence architecture and design decisions across teams, driving best practices and common patterns.</li>\n<li>Collaborate effectively with multiple teams, demonstrating solid partnership and communication skills.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor&#39;s Degree in Statistics, Computer Science, or related field AND 5+ years related experience (e.g., statistics predictive analytics, research) OR Master&#39;s Degree in Statistics, Computer Science, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Computer Science, or related field AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Expertise in deep learning, machine learning, NLP, or related areas.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Ability to think creatively and deliver innovative solutions to complex problems.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.</li>\n<li>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2ab57edf-94a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-applied-scientist-bing-search-2/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Deep Learning","Natural Language Processing","Machine Learning","Statistics","Predictive Analytics"],"x-skills-preferred":["Search technologies","Information retrieval"],"datePosted":"2026-03-06T07:30:38.683Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beijing"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Deep Learning, Natural Language Processing, Machine Learning, Statistics, Predictive Analytics, Search technologies, Information retrieval"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_631353ce-1c3"},"title":"Applied Scientist II","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Applied Scientist II at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising search results page advertising technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the online advertising market.</p>\n<p><strong>About the Role</strong></p>\n<p>Our team focuses on understanding and predicting how the user interacts with the ads on the search results page. The probability that a user will click on an ad is one of the most critical inputs used in ranking the ads. Similarly, the probability of interacting with the advertiser’s page is important for measuring advertiser and user satisfaction. This position as an Applied Scientist II is for the modeling team, which builds machine learned models for predicting such events.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Designing and building efficient models for predicting user interactions with ads and advertiser’s pages.</li>\n<li>Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Excellent problem solving and data analysis skills, effective communication skills, both verbal and written.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Comprehensive benefits package</li>\n<li>Opportunities for professional growth and development</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_631353ce-1c3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/applied-scientist-ii-6/","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"USD $100,600 – $199,000 per year","x-skills-required":["statistical machine learning","deep learning","data mining","causal inference","information retrieval","game theory","mechanism design","optimization","Bayesian inference"],"x-skills-preferred":["experience in any of the following areas: statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference"],"datePosted":"2026-03-06T07:27:20.391Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization, Bayesian inference, experience in any of the following areas: statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":100600,"maxValue":199000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b325f4aa-4a5"},"title":"AI Engineer, Applied ML","description":"<p>Perplexity is looking for an Applied ML Engineer to design, build, and iterate on cutting-edge AI models powering our core experience. As an expert in machine learning and artificial intelligence, you will develop scalable and impactful solutions for user personalization, query understanding, and content discovery - fulfilling the curiosity of millions of users across the globe.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<ul>\n<li>Apply state-of-the-art ML and LLM techniques to solve problems spanning:</li>\n<li>Personalization (LLM memory, context summarization, retrieval and ranking);</li>\n<li>Query Understanding (intent modeling, rewriting, agentic decomposition);</li>\n<li>Content Discovery (feed ranking and surfacing)</li>\n<li>Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact.</li>\n<li>Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement.</li>\n<li>Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements.</li>\n<li>Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle.</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products.</li>\n<li>Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking.</li>\n<li>Strong software engineering skills (Python, production-quality codebases, collaborative development).</li>\n<li>In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement.</li>\n<li>Proven collaborator and communicator; excels in high-velocity, cross-functional teams.</li>\n<li>Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI.</li>\n<li>BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience).</li>\n</ul>\n<p><strong>Bonus Points For</strong></p>\n<ul>\n<li>Experience with LLM prompt engineering, Retrieval-augmented generation (RAG) based systems.</li>\n<li>Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).</li>\n<li>Open-source or published contributions in ML, NLP, IR, or relevant research fields.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b325f4aa-4a5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Perplexity","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/perplexity.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/perplexity/3c656963-876a-458d-bca6-916a42a24c1a","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$220K - $405K","x-skills-required":["deep learning","LLMs","information retrieval","content summarization","recommendation systems","NLP","ranking"],"x-skills-preferred":["LLM prompt engineering","Retrieval-augmented generation (RAG) based systems","large scale user-centric and content-centric personalization challenges"],"datePosted":"2026-03-04T12:24:05.980Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, New York City, Palo Alto"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"deep learning, LLMs, information retrieval, content summarization, recommendation systems, NLP, ranking, LLM prompt engineering, Retrieval-augmented generation (RAG) based systems, large scale user-centric and content-centric personalization challenges","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":220000,"maxValue":405000,"unitText":"YEAR"}}}]}