Microsoft jobs in london london city of united kingdom

{"domain": "microsoftai.com", "user": "", "isWillingToRelocate": false, "isUserAuthenticated": false, "isUserETXCandidate": false, "isDomainETX": false, "isDomainVeteran": false, "signUpConfig": {}, "getHelpButton": {}, "isCareerPlannerEnabled": false, "enableRememberMeOption": false, "isMyApplicationsEnabled": false, "showVeteranEmployerSignUp": false, "enableUserPreferenceSelection": false, "isUserPreferenceApplied": false, "candidate": {"enc_id": 0, "fullname": "", "firstname": "", "lastname": "", "skills": [], "email": "", "phone": "", "location": "", "filename": null, "starred_positions": [], "resumeUrl": "", "onboardingCompleted": false, "isUserInPcsIjp": false, "linkedinUrl": ""}, "branding": {"advancedSearchOptions": [{"key": "skills", "name": "Skills"}, {"key": "work flex", "name": "Work Site"}, {"key": "profession", "name": "Profession"}, {"key": "role type", "name": "Role Type"}, {"key": "discipline", "name": "Discipline"}, {"key": "location country", "name": "Country"}], "redesignedNuxConfig": {"enabled": false}, "hideJobCart": true, "showUploadResumeModal": 0, "enableTalentNetwork": 1, "show_wizard": 0, "privacy": {"title": "Data Privacy Notice", "logged_out_notifications_text": " ", "text": "Your privacy is important to us. The personal data you provide will be processed by AI to enhance your experience. For more information, please see the <u><a class=\"msft-data-privacy-link\" href=\"http://go.microsoft.com/fwlink/?LinkId=518021\" target=\"_blank\">Microsoft Data Privacy Notice</a></u> and <u><a class=\"msft-data-privacy-link\" href=\"https://aka.ms/MAIHubTransparency\" target=\"_blank\">Transparency FAQ</a></u>.", "button": "I understand", "logged_out_notifications_privacy_policy_checkbox_default_state": true}, "homePageHeroBanner": {"opacity": 1, "image": "https://static.vscdn.net/images/careers/demo/microsoft-ai-sandbox/1731551848::pcsbanner", "title": "Get personalized job recommendations", "hideInMobileView": false}, "navBar": {"color": "#ffffff", "image": "https://static.vscdn.net/images/careers/demo/microsoft-ta2-dev-sandbox/1719948341::1714657312__msft_logo.png", "link": "http://eightfold.ai", "background": "#0346A2", "opacity": 1}, "uploadResumeModal": {"title": "Welcome to {company_name}'s Career Center", "subtitle": "Streamline your search by uploading your resume to be matched with positions that best suit your qualifications.", "disclaimer": "**Uploading a resume is not a formal application for employment**"}, "custom_style": {"css": ".nav-item a { color: #fff !important;} .refer .user-name { color: #fff !important; } .fixed-top { background-color: #000 !important; } .position-job-description .block__field--wide-rich-text { width: inherit !important; } nav.navbar { display: none !important; }\n.msft-accessiblity-link {color: #5c1b86; text-decoration:underline} .msft-data-privacy-link {color: #5c1b86; text-decoration:underline} .position-job-description a { color: #5c1b86 !important; text-decoration:underline !important }"}, "page_image": "", "max_applications_refer": 0, "max_applications_apply": 20, "custom_head_scripts": {"HOME_PAGE_LOAD": "<script>$(\"#pcs-body-container\").removeClass(\"without-hero-image\");\n        $(\"nav.navbar\").hide();\n $('.hero-image').hide();\n $('.language-selection').hide();\n$('.language-selection').css('display', 'none');</script>", "SINGLE_POSITION_PAGE_LOAD": "<script>$(\"#pcs-body-container\").removeClass(\"without-hero-image\");\n        $(\"nav.navbar\").hide();\n $('.hero-image').hide();\n $('.language-selection').hide();\n$('.language-selection').css('display', 'none');</script>"}, "applyButton": {"background": "#5c1b86"}, "customContent": {"positionSections": [{"body": "Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about <a class=\"msft-accessiblity-link\" href=\"https://careers.microsoft.com/v2/global/en/accessibility.html\" target=\"_blank\">requesting accommodations</a>.", "title": ""}]}, "job_insights_display": {"hide": true}, "hide_matched_section": true, "PersonalizationBar": {"hide_find_jobs_button": true}, "custom_html": {"header": "<div id=\"configurable-navbar\"></div>", "footer": "<footer></footer>", "page-footer": "<div></div>"}, "recaptcha_enabled": 1, "companyName": "Microsoft", "showLoggedOutNotificationsPrivacyPolicy": true, "hideEightfoldBranding": false}, "positions": [{"id": 1970324837008482, "name": "Member of Technical Staff, AI Pretraining", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1745460384, "t_create": 1740413082, "ats_job_id": 1970324837008482, "display_job_id": 1970324837008482, "type": "ATS", "id_locale": "1970324837008482-en", "job_description": "Have proven expertise in areas of interest, evidenced by an exceptional publication track record and significant technical leadership in high-impact projects Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making Have experience and/or in-depth understandings about large-scale distributed systems Demonstrate an ability to work collaboratively in a fast-paced, innovative environment * Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Proven expertise in the area of pretraining Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack Collaborate closely with teams on infrastructure, data, post-training, and multimodality Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008482", "isPrivate": false}, {"id": 1970324837008481, "name": "Member of Technical Staff, AI Data", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1745373993, "t_create": 1740412613, "ats_job_id": 1970324837008481, "display_job_id": 1970324837008481, "type": "ATS", "id_locale": "1970324837008481-en", "job_description": "Are passionate about the role of data in large-scale AI model training Will thrive in a highly collaborative, fast-paced environment Have a high degree of craftsmanship and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Effectively manage multiple responsibilities and can adjust to shifting priorities. Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR equivalent experience. Expertise in large scale data engineering ideally applied to AI Expertise in Spark, Kubernetes or similar. Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video). Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation. Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008481", "isPrivate": false}, {"id": 1970324837008483, "name": "Member of Technical Staff, AI Post-Training", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1745546770, "t_create": 1740413974, "ats_job_id": 1970324837008483, "display_job_id": 1970324837008483, "type": "ATS", "id_locale": "1970324837008483-en", "job_description": "Are passionate about shipping models into products that users will love Will thrive in a highly collaborative, fast-paced environment Have a high degree of craftsmanship and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Are willing to meaningfully contribute as individuals with multiple responsibilities and can adjust to shifting priorities * Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Expertise in post-training of AI models Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Proven research track record in a domain related field supported by exceptional papers Develop data collection, evaluation, and finetuning methods for models. Design hypotheses and experiment plans for rapidly iterating on model performance. Collaborate with pretraining and product platform teams to establish good vertical integration and ship models that Copilot users love. Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008483", "isPrivate": false}, {"id": 1970324837008485, "name": "Member of Technical Staff, AI Multimodal ", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1745719602, "t_create": 1740415329, "ats_job_id": 1970324837008485, "display_job_id": 1970324837008485, "type": "ATS", "id_locale": "1970324837008485-en", "job_description": "Have proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects. Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making. Have experience and/or in-depth understandings about large-scale distributed systems. Demonstrate an ability to work collaboratively in a fast-paced, innovative environment. Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience. Expertise in multimodal Research with a strong publishing track record Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis Innovate and iterate over ideas, prototypes, and product. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback Advance the AI frontier responsibly Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008485", "isPrivate": false}, {"id": 1970324837009353, "name": "Member of Technical Staff - Frontend Engineer, Health AI", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1745476133, "t_create": 1741272870, "ats_job_id": 1970324837009353, "display_job_id": 1970324837009353, "type": "ATS", "id_locale": "1970324837009353-en", "job_description": "Collaborate cross-functionally with product, data, and clinical teams to align on technical priorities and clarify scopes. Design, build, and optimize production-grade code, delivering robust features within a much larger existing architecture. Work independently across a wide range of our stack, shipping delightful user experiences. Balance trade-offs to deliver high-impact solutions in dynamic environments. Ensure resilience, maintainability, and security above all else. Build the hiring pipelines, onboarding frameworks, and software development best practices to scale an engineering team around you. Guide peers, contributing to a culture of technical excellence and continuous improvement. Bachelor's or Higher Degree in Computer Science, or related technical discipline AND strong software engineering experience with coding in languages/frameworks including, but not limited to, JavaScript, TypeScript, React. Demonstrated expertise building web products at scale. Working knowledge of web browsers, web protocols, mainstream frameworks, application architecture, design patterns, and UI/UX principles. Experience collaborating in cross functional teams, working through ambiguity to deliver high quality products. Demonstrated full-stack experience in delivering scaled software products. Experience in healthcare technology, particularly with regulated medical devices. Experience with iOS development. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837009353", "isPrivate": false}, {"id": 1970324837010714, "name": "Technical Program Manager, AI Multimodal ", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1745924512, "t_create": 1742495026, "ats_job_id": 1970324837010714, "display_job_id": 1970324837010714, "type": "ATS", "id_locale": "1970324837010714-en", "job_description": "Deeply understand the pipeline of collecting data, training and then serving language models and multimodal models; Have experience in working side-by-side with researchers and engineers; Thrive in a fast-paced, innovative environment; Are passionate about managing high stakes time-sensitive large-scale programs; Take the initiative and enjoys finding paths through complexity in a fast-paced environment; Are comfortable owning projects that span offices, teams and time zones, can co-ordinate different workstreams, and drive to relentlessly unblock progress; Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies. Bachelor's Degree AND experience in working with AI researchers, product/technical program management, data analysis, or product development OR equivalent experience. Co-ordinate projects and programs including all elements of end-to-end project planning, timelines, milestones, performance metrics, and resource needs for programs and product cycles. Leverage data and analytics to identify opportunities for improvement, track progress, and measure the impact of quality and efficiency programs on key metrics. Foster a culture of collaboration, continuous improvement, and growth. Accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery. Communicate program strategies, progress, and results to executive leadership and key stakeholders, advocating for the quality and efficiency function within the team. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback Advance the AI frontier responsibly Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837010714", "isPrivate": false}, {"id": 1970324837014338, "name": "Senior Medical Device Specialist", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "Copilot Health (4HBW)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1746175745, "t_create": 1745933078, "ats_job_id": 1970324837014338, "display_job_id": 1970324837014338, "type": "ATS", "id_locale": "1970324837014338-en", "job_description": "Overview Microsoft is dedicated to empowering healthcare organizations to achieve their goals and improve patient care.\u00a0\u00a0 We are looking to hire a Senior Medical Device Specialist, with a strong technical background and a customer-driven passion for regulatory work, to join our team. This is an opportunity to join a growing organization focused on healthcare-specific data platforms, AI products and Microsoft Cloud for Healthcare. We are looking for someone who will bring Medical Device and Regulatory expertise, with a focus on software to our team.\u00a0 We are a team that believes in making a difference and bringing a positive approach to challenges. If you are looking for a team that will have an impact on an evolving society, provide a diverse workplace, and challenge you to learn and grow, our team may be the place for you.\u00a0 Microsoft\u2019s 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.\u00a0 Responsibilities Ensure compliance with regulations governing Software Medical Devices including ISO 13485, ISO 27001, and ISO 62304, as well as support for the Quality Management System (QMS)\u00a0 Author technical documentation, and designs and implements Medical Device validation protocols for Software focused programs\u00a0 Conduct and contribute to Medical Device audits, working with engineering and PM teams to ensure robust regulatory oversight and documentation of the Medical Device program.\u00a0\u00a0 Serve as a SME for Engineering and other organizations, proactively revising and developing Medical Device guidance materials for healthcare services.\u00a0 May apply cross-functional knowledge to other compliance programs.\u00a0 Embody our\u202f Culture\u202f and\u202f Values .\u00a0 Required Qualifications: Experience in Software compliance product/technical program management OR equivalent experience.\u00a0 Experience writing technical documentation for Medical Devices or other regulated industries.\u00a0 Professional experience in a combination of roles in regulatory, quality, clinical evaluation, risk management, technical program management, or equivalent.\u00a0 Preferred Qualifications: Advanced degree in Regulatory or Healthcare compliance.\u00a0 Experience of the healthcare regulatory landscape, including SaMD and device CDS for the United States and Medical Device Software for the European Union.\u00a0 Experience testing and validating software systems.\u00a0 Regulatory Affairs Certification (RAC) Devices, lead ISO13485 auditor, or equivalent.\u00a0 Experience working with legal / regulatory teams to translate regulatory and standard requirements to actionable engineering plans.\u00a0 Experience with consumer-focused software solutions.\u00a0", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837014338", "isPrivate": false}, {"id": 1970324837008484, "name": "Member of Technical Staff, AI - Reinforcement Systems", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1746183602, "t_create": 1740414804, "ats_job_id": 1970324837008484, "display_job_id": 1970324837008484, "type": "ATS", "id_locale": "1970324837008484-en", "job_description": "Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments. Embody our culture of collaboration, innovation, and excellence. Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, Mathematics, or related STEM fields and experience in coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python Experience with large-scale software systems and infrastructure. Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains. Ability to work collaboratively in a fast-paced, innovative environment. Background in machine learning research. Experience with large scale distributed AI systems.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008484", "isPrivate": false}, {"id": 1970324837008486, "name": "Member of Technical Staff, AI Pretraining Platform", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1746183632, "t_create": 1740415707, "ats_job_id": 1970324837008486, "display_job_id": 1970324837008486, "type": "ATS", "id_locale": "1970324837008486-en", "job_description": "Are passionate about the infrastructure enabling large-scale AI model training Will thrive in a highly collaborative, fast-paced environment Have a high degree of craftsmanship and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Effectively manage multiple responsibilities and can adjust to shifting priorities. Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modeling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work Experience with HPC (High performance computing) and/ or parallel programming? Experience in the area of pretraining Experience working with GPU clusters Design and develop Python and CUDA/HIP C++ code that enable distributed training of multimodal LLMs ingesting text, audio, images, or video data. Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation. Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008486", "isPrivate": false}, {"id": 1970324837009351, "name": "Member of Technical Staff - Backend Engineer, Health AI", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1747230153, "t_create": 1741271782, "ats_job_id": 1970324837009351, "display_job_id": 1970324837009351, "type": "ATS", "id_locale": "1970324837009351-en", "job_description": "Collaborate cross-functionally with product, data, and clinical teams to align on technical priorities and clarify scopes. Design, build, and optimize production-grade code, delivering robust features within a much larger existing architecture. Work independently across a wide range of our stack, integrating data sources and storage with our inference systems and front-end client endpoints. Balance trade-offs to deliver high-impact solutions in dynamic environments. Ensure resilience, maintainability, and security above all else. Build the hiring pipelines, onboarding frameworks, and software development best practices to scale an engineering team around you. Guide peers, contributing to a culture of technical excellence and continuous improvement. Bachelor's or Higher Degree in Computer Science, or related technical discipline AND strong software engineering experience with coding in C#/.NET, OR equivalent experience in languages including, but not limited to, C, C++, Java, Python, Rust, Typescript. Demonstrated expertise building distributed backend systems at scale on top of cloud infrastructure. Experience collaborating in cross functional teams, working through ambiguity to deliver high quality products. Demonstrated full-stack experience in delivering scaled software products. Experience in healthcare technology, particularly with regulated medical devices. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837009351", "isPrivate": false}], "debug": {}, "count": 13, "countFilterByMatchScore": null, "location_user": ["london london city of united kingdom", "remote,United Kingdom"], "location_used": "london london city of united kingdom", "locationInsights": null, "showWizard": false, "disableLocationSearchDropdown": false, "pcsAutocompleteLocationEnabled": 0, "recommended_star_threshold": 4.0, "mocTitle": null, "fuzzyResultsReturned": false, "query": {"query": "*", "location": "london london city of united kingdom", "department": [], "skill": [], "seniority": [], "pid": "", "work flex": [], "skills": [], "location country": [], "profession": [], "role type": [], "discipline": []}, "userTitles": [], "isThinProfile": false, "veteranProgramDetails": [], "enableTargetedResume": 0, "jobCardConfig": null, "facetDisplaySort": {"work flex": "count_desc", "skills": "count_desc", "location country": "count_desc", "profession": "count_desc", "role type": "count_desc", "discipline": "count_desc", "locations": "count_desc"}, "facets": {"work flex": {"microsoft on-site only": 54, "up to 50% work from home": 16, "up to 100% work from home": 1}, "skills": {"Artificial Intelligence": 25, "Machine Learning": 20, "Python": 19, "Java": 16, "Engineering": 15, "Computer Science": 12, "User Experience": 12, "Design": 11, "Scaling": 11, "API": 10, "Teamwork": 10, "JavaScript": 9, "Language Modeling": 9, "Scalability": 9, "Collaboration": 8, "Cross-Functional Collaborations": 8, "Product Management": 8, "Amazon Web Services (AWS)": 7, "C++": 7, "Communication": 7, "Product Development": 7, "Software Engineering": 7, "AI": 6, "Algorithms": 6, "Coding": 6, "Distributed Systems": 6, "Infrastructure": 6, "Program Management": 6, "Software Development": 6, "TypeScript": 6, "Cross Functional Skills": 5, "Experimentation": 5, "Generative AI": 5, "Innovation": 5, "Kubernetes": 5, "Rust": 5, "Search": 5, "Android": 4, "Architecture": 4, "Clear Pipelines": 4, "Data Science": 4, "LLM": 4, "ML/I": 4, "Research": 4, "Revenue Management": 4, "Security": 4, "Cloud Infrastructure": 3, "Data Pipelines": 3, "Linguistics": 3, "Messaging": 3, "Product Roadmaps": 3, "React": 3, "SQL": 3, "Spark": 3, "Strategy": 3, "Technical Communication": 3, "Testing": 3, "C#": 2, "CSS": 2, "Continuous Improvement": 2, "Cross-Functional Team Leadership": 2, "Data Analysis": 2, "Data Collection": 2, "Data Engineering": 2, "Data Flow": 2, "Data Processing": 2, "Deployments": 2, "Design Patterns": 2, "Entrepreneurship": 2, "Fine Tuning": 2, "GPU Optimization": 2, "Git": 2, "Healthcare Technology": 2, "High Performance Computing": 2, "Key Value Stores": 2, "Kotlin": 2, "Leadership": 2, "Mobile App Development": 2, "Mobile Application Platform": 2, "Mobile Architecture": 2, "Objective-C": 2, "Problem Solving": 2, "Product Strategy": 2, "Project Management": 2, "Scala": 2, "Show Production": 2, "Strategy Execution": 2, "Team Collaboration": 2, "Web Applications": 2, "Web Development": 2, "Web Services": 2, "iOS": 2, "iOS Development": 2, "Multimodal": 2, "Pretraining": 2, "Prompting": 2, "AI Infrastructure": 1, "AI Systems": 1, "ASP.NET": 1, "Accounts Receivable": 1}, "location country": {"United States": 58, "United Kingdom": 13}, "profession": {"software engineering": 45, "product management": 10, "program management": 6, "research, applied, and data sciences": 3, "administration": 2, "design & creative": 2, "business development & ventures": 1, "business operations": 1, "legal & corporate affairs": 1}, "role type": {"individual contributor": 65, "people manager": 6}, "discipline": {"software engineering": 45, "product management": 10, "program management": 6, "research, applied, and data sciences": 3, "administration": 2, "business development & ventures": 1, "business operations": 1, "design & creative": 1, "legal & corporate affairs": 1, "product design": 1}, "locations": {"Remote": 999999, "Mountain View, CA, United States": 47, "Redmond, WA, United States": 29, "London, England, United Kingdom": 13, "New York, NY, United States": 5, "Boulder, CO, United States": 1, "Washington, DC, United States": 1}}, "isSubQuery": false, "showBusinessUnitInPositionSidebar": false, "hideDepartment": null, "iframeImplementation": null, "pcsTextConfiguration": {}, "facetNoTitlecase": null, "skipCSSFacetCapitalization": false, "enableMapClustering": false, "readmoreInstructionEnabled": false, "candidateLogin": {}, "isHomePageLoad": false, "candidateBuildProfile": {}, "chatbot": false, "enabledPersonalizedFeatures": {"recommendationFeedback": false, "tldr": true, "personalizationPreferences": false}, "installed_app_data": [], "enhancementsEnabled": false, "disableAutoScrollOnPositionSelect": false, "locationDistanceKmDefault": 100, "searchFiltersTranslationWhitelist": [], "customJobDescTranslationSkipList": [], "enableCandidateReferralFlow": false, "showBanner": false, "pcsBannerMessage": null, "locationRadiusConfig": {"showLocationRadius": false, "locationRadiusType": "mi"}, "pcsApplyFormV2Enabled": true, "isPcsBrandingApril2023Enabled": false, "allowedFileTypes": {}, "pcsOctupleMigration0Enabled": true, "pcsOctupleMigration1Enabled": false, "replaceUrlOnGoBack": true, "pcsRedesignedNuxEnabled": false, "userActivityTimeout": 86400000, "userActivityTimeoutEnabled": 1, "isLoggedInPcsEnabled": false, "sortByConfig": null, "searchBoxConfig": {}, "excludePrivatePositions": true, "eeocFilterKeywords": ["veteran", "disability", "gender", "race", "citizen", "visa", "ethnicity"], "disableScrollLoadPositionSidebar": false, "locationFlexibilityFrontendEnabled": false, "workLocationOptionFrontendEnabled": true, "remoteFlexibleJobsFilterEnabled": false, "loggedOutNotificationsEnabled": true, "prepopulateApplyFormEnabled": true, "prepopulateSettings": {"inferEEOQuestions": false, "showPrepopulateCheckbox": true, "defaultPrepopulateCheckboxValue": true, "showClearForm": true, "prepopulateCheckboxText": "Save my answers for future applications"}, "themeBuilderUser": null, "mandatoryFields": ["firstname", "lastname", "email", "phone"], "blindfoldWidgetPcsGate": false, "pcsApplyFormLocationGate": false, "t3sEnabled": true, "uploadApplicationAnswers": false, "candidateAuthV2Enabled": true, "preApplicationSubmitAuthEnabled": false, "applyFormV2Enabled": false, "loggedOutSavedSearchEnabled": false, "locationRadiusTypeToggleEnabled": true, "incompleteApplicationsEnabled": false, "incompleteApplicationConfig": {}, "fallbackPcsJdGate": true, "enableResumeCoach": false, "isPcsEnabled": true, "applicationInfoReviewEnabled": false, "phoneWithCountryCodeEnabled": true, "phoneWithCountryCodeJTNEnabled": false, "notificationSuggestVerificationToken": null, "cookiesAutoDisabled": false, "strictEmailValidationEnabled": true, "chatbotxConfig": {"enabled": false, "featureAccessFlags": {"resumeCoachCardFlags": {"showApplyWithResume": true, "showEditResume": true}, "positionCardFlags": {"showAddToJobCart": false}}}, "pcsOptionalResumeWithJobcartGate": false, "loggedInCandidate": {}, "hamburgerMenuEnabled": false, "sharedTalentPoolGate": false, "pcsAccessibilityHomeEnabled": true, "pcsAccessibilityApplyFormEnabled": true, "showLanguageDropdown": false, "languages": [{"value": "en", "title": "English"}, {"value": "it", "title": "Italiano"}, {"value": "es", "title": "Espa\u00f1ol"}, {"value": "fr", "title": "Fran\u00e7ais"}, {"value": "pt", "title": "Portugu\u00eas"}, {"value": "nb", "title": "Norsk"}, {"value": "de", "title": "Deutsch"}, {"value": "ja", "title": "\u65e5\u672c\u8a9e"}, {"value": "ms", "title": "Bahasa melayu"}, {"value": "zh-CN", "title": "\u4e2d\u6587 (\u7b80\u4f53)"}, {"value": "zh-TW", "title": "\u4e2d\u6587 (\u7e41\u9ad4)"}, {"value": "ko", "title": "\ud55c\uad6d\uc5b4"}, {"value": "th", "title": "\u0e20\u0e32\u0e29\u0e32\u0e44\u0e17\u0e22"}, {"value": "nl", "title": "Nederlands"}, {"value": "pl", "title": "Polski"}, {"value": "uk", "title": "Y\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430"}, {"value": "hr", "title": "Hrvatski"}, {"value": "el", "title": "\u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac"}, {"value": "hu", "title": "Magyar"}, {"value": "cs", "title": "\u010de\u0161tina"}, {"value": "tr", "title": "T\u00fcrk\u00e7e"}, {"value": "ru", "title": "P\u0443\u0441\u0441\u043a\u0438\u0439"}, {"value": "ht", "title": "Haitian"}, {"value": "he", "title": "\u05e2\u05d1\u05e8\u05d9\u05ea"}, {"value": "pt-BR", "title": "Brazilian Portugu\u00eas"}, {"value": "da", "title": "Dansk"}, {"value": "fi", "title": "Suomi"}, {"value": "sv", "title": "Svenska"}, {"value": "fr-CA", "title": "Fran\u00e7ais (Canada)"}, {"value": "pt-PT", "title": "portugu\u00eas (Portugal)"}, {"value": "vi", "title": "Ti\u1ebfng Vi\u1ec7t"}, {"value": "ro", "title": "rom\u00e2n\u0103"}, {"value": "bg", "title": "\u0431\u044a\u043b\u0433\u0430\u0440\u0441\u043a\u0438"}, {"value": "ar", "title": "\u0627\u0644\u0639\u0631\u0628\u064a\u0629"}], "displayLanguage": "en", "requestLocation": false, "positionQnAEnabled": false, "singlePageCareersNavbarGate": false, "advancedOptionsA11yGate": false, "positionSidebarScrollResetGate": false, "pcsApplyFormFileAnswerGate": false, "all_applicable_locations": []}