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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1c9a6540-bc6"},"title":"Senior Security Operations Engineer","description":"<p>Join Brex, the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. As a Senior Security Operations Engineer, you will focus on preventing, detecting and responding to security threats across Brex&#39;s corporate and cloud environments. You will use existing systems and develop tools to improve our security capabilities.</p>\n<p>Our team is responsible for functions across corporate security, detection &amp; response and infrastructure security domains; and we perform systems engineering and automation to support those functions. Security Operations is part of our wider Trust &amp; IT organization which means you will have the opportunity to work closely with Application Security, Corporate Engineering, GRC and IT and to improve security configurations, drive positive employee behaviors and generally work to prevent events from becoming incidents.</p>\n<p>You will also help build and maintain our team’s open source project Substation and have the opportunity to contribute to the Brex Tech Blog. You’ll be part of a team that actively contributes to the wider security community and has a commitment to mentorship and engineering excellence.</p>\n<p>We’re looking for individuals with a strong background and interest in detecting, responding to, and resolving security incidents and security challenges. You should be comfortable dealing with lots of moving pieces, changing priorities, and new technologies, while having a keen eye for detail. Most importantly, you should be enthusiastic about working with a variety of backgrounds, roles, and people across Brex.</p>\n<p>Building a world-class financial service requires world-class security.</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_1c9a6540-bc6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Brex","sameAs":"https://brex.com/","logo":"https://logos.yubhub.co/brex.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/brex/jobs/8339287002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$192,000 CAD - $240,000 CAD","x-skills-required":["CI/CD systems","DevOps workflows","Cloud environments","Security services and tools","Go and Python programming"],"x-skills-preferred":["Go","Securing distributed systems in AWS, cloud and Kubernetes environments"],"datePosted":"2026-04-18T15:53:26.384Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver, British Columbia, Canada"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"CI/CD systems, DevOps workflows, Cloud environments, Security services and tools, Go and Python programming, Go, Securing distributed systems in AWS, cloud and Kubernetes environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":192000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b33cae84-69b"},"title":"Solutions Architect, Applied AI","description":"<p>As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.</p>\n<p>You&#39;ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n<li>Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment</li>\n<li>Support customers building with both the Claude API and Claude for Work</li>\n<li>Create and deliver compelling technical content tailored to different audiences across Japan</li>\n<li>Guide technical architecture decisions and help customers across Japan integrate Claude effectively into their existing technology stack</li>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n<li>Native-level Japanese fluency and business-level English required</li>\n<li>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</li>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n<li>Comfortable with Python</li>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders</li>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</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_b33cae84-69b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5076109008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Technical customer-facing experience","Japanese fluency","English fluency","Experience working with enterprise customers","Cloud architecture design","Python programming","LLM frameworks and tools","Machine learning or data science background"],"x-skills-preferred":["Cross-organizational collaboration","Trade-off analysis","Communication and interpersonal skills","Teaching and mentoring","Creative problem-solving"],"datePosted":"2026-04-18T15:52:47.047Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical customer-facing experience, Japanese fluency, English fluency, Experience working with enterprise customers, Cloud architecture design, Python programming, LLM frameworks and tools, Machine learning or data science background, Cross-organizational collaboration, Trade-off analysis, Communication and interpersonal skills, Teaching and mentoring, Creative problem-solving"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_062d8648-c7c"},"title":"Anthropic Fellows Program — ML Systems & Performance","description":"<p>About Anthropic\\n\\nAnthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.\\n\\nApply using this link. The next cohort of Anthropic fellows starts on July 20, 2026. Apply by April 26, 2026 to be considered for this cohort. We will continue accepting applications for later cohorts on a rolling basis. In exceptional circumstances, we may be able to accommodate fellows starting outside of usual cohort timelines.\\n\\nThis page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting.\\n\\nAnthropic Fellows Program overview\\n\\nThe Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.\\n\\nFellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.\\n\\nWe run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.\\n\\nWhat to expect\\n\\n- 4 months of full-time research \\n\\n- Direct mentorship from Anthropic researchers \\n\\n- Access to a shared workspace (in either Berkeley, California or London, UK)\\n\\n- Connection to the broader AI safety and security research community\\n\\n- Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)\\n\\n- Funding for compute (~$15k/month) and other research expenses\\n\\nInterview process\\n\\nThe interview process will include an initial application &amp; reference check, technical assessments &amp; interviews, and a research discussion. \\n\\nCompensation\\n\\nThe expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).\\n\\nFellows workstreams\\n\\nDue to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.\\n\\nSome of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:\\n\\n- AI Safety Fellows\\n\\n- AI Security Fellows\\n\\n- ML Systems &amp; Performance Fellows\\n\\n- Reinforcement Learning Fellows\\n\\n- Economics &amp; Societal Impacts Fellows\\n\\nAcross the workstreams, you may be a good fit if you:\\n\\n- Are motivated by making sure AI is safe and beneficial for society as a whole\\n\\n- Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic\\n\\n- Have a strong technical background in computer science, mathematics, or physics\\n\\n- Thrive in fast-paced, collaborative environments\\n\\n- Can implement ideas quickly and communicate clearly\\n\\nStrong candidates may also have:\\n\\n- Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)\\n\\n- Experience in areas of research or engineering related to their workstream\\n\\nCandidates must be:\\n\\n- Fluent in Python programming\\n\\n- Available to work full-time on the Fellows program\\n\\nML Systems &amp; Performance Fellows\\n\\nMentors, research areas, &amp; past projects\\n\\nFellows will undergo a project selection &amp; mentor matching process. Potential mentors include:\\n\\n- Alwin Peng\\n\\n- Zygi Straznickas\\n\\nNote: You may research mentors&#39; prior work, but all applications must go through the official form, not the mentors.\\n\\nFor a past example of an engineering-heavy project, see:\\n\\n- AI agents find $4.6M in blockchain smart contract exploits\\n\\nProjects in this workstream may include:\\n\\n- Building a CPU simulator for accelerator workloads\\n\\n- Adding backends for different accelerators on an open source project\\n\\n- Building on demand infrastructure for other infrastructure heavy fellows projects \\n\\n- Building complex synthetic data or environment pipelines\\n\\nUnique candidate criteria\\n\\nYou might be a particularly great fit for this workstream if you:\\n\\n- Have strong software engineering skills with experience building complex ML systems\\n\\n- Can balance research exploration with engineering rigor and operational reliability\\n\\n- Enjoy collaborating across research and engineering disciplines\\n\\n- Are comfortable working with large-scale distributed systems and high-performance computing (e.g. in trading)\\n\\n- Have experience with training, fine-tuning, or evaluating large language models\\n\\n- Are adept at analyzing and debugging model training processes\\n\\nLogistics\\n\\nLogistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.\\n\\nWorkspace Locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.\\n\\nVisa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.\\n\\nProgram Duration: The program runs for 4 months, full-time. If you can&#39;t commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.\\n\\nPlease note: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.\\n\\nApplications and interviews are managed by Constellation, our official recruiting partner for this program. Constellation also runs the Berkeley workspace that hosts fellows. Clicking &quot;Apply here&quot; will redirect you to Constellation&#39;s application portal. You can expect to receive emails from Constellation with application updates.</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_062d8648-c7c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5183051008","x-work-arrangement":"remote","x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python programming","AI research","Machine learning","Software engineering","Research and development","Collaboration","Communication","Problem-solving","Analytical thinking"],"x-skills-preferred":["Large language models","Distributed systems","High-performance computing","Trading","Synthetic data","Environment pipelines"],"datePosted":"2026-04-18T15:50:38.472Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python programming, AI research, Machine learning, Software engineering, Research and development, Collaboration, Communication, Problem-solving, Analytical thinking, Large language models, Distributed systems, High-performance computing, Trading, Synthetic data, Environment pipelines"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6d742066-b4f"},"title":"Anthropic Fellows Program — AI Safety","description":"<p>The Anthropic Fellows Program is a 4-month full-time research opportunity designed to foster AI research and engineering talent. As a fellow, you will work on an empirical project aligned with our research priorities, with the goal of producing a public output. You will have direct mentorship from Anthropic researchers, access to a shared workspace, and connection to the broader AI safety and security research community. The expected base stipend for this role is $3,850 USD per week, with an expectation of 40 hours per week for 4 months.</p>\n<p>The program is open to individuals with a strong technical background in computer science, mathematics, or physics, and who are motivated by making sure AI is safe and beneficial for society as a whole. You will be part of a diverse team of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p>As a fellow, you will have the opportunity to work on projects in select AI safety research areas, such as scalable oversight, adversarial robustness and AI control, model organisms, model internals/mechanistic interpretability, and AI welfare. You will also have access to our Alignment Science and Frontier Red Team blogs, which feature past projects and research directions.</p>\n<p>To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program. We are not currently able to sponsor visas for fellows.</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_6d742066-b4f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5183044008","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$3,850 USD per week","x-skills-required":["Python programming","Fluent in Python","Strong technical background in computer science, mathematics, or physics"],"x-skills-preferred":["Experience in areas of research or engineering related to AI safety","Experience working with large language models","Track record of open-source contributions"],"datePosted":"2026-04-18T15:50:02.130Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python programming, Fluent in Python, Strong technical background in computer science, mathematics, or physics, Experience in areas of research or engineering related to AI safety, Experience working with large language models, Track record of open-source contributions","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":3850,"maxValue":3850,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_762f29e0-3f9"},"title":"Anthropic Fellows Program","description":"<p>The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.</p>\n<p>Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission).</p>\n<p>We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.</p>\n<p><strong>What to Expect</strong></p>\n<ul>\n<li>4 months of full-time research</li>\n<li>Direct mentorship from Anthropic researchers</li>\n<li>Access to a shared workspace (in either Berkeley, California or London, UK)</li>\n<li>Connection to the broader AI safety and security research community</li>\n<li>Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)</li>\n<li>Funding for compute (~$15k/month) and other research expenses</li>\n</ul>\n<p><strong>Interview Process</strong></p>\n<p>The interview process will include an initial application &amp; reference check, technical assessments &amp; interviews, and a research discussion.</p>\n<p><strong>Compensation</strong></p>\n<p>The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).</p>\n<p><strong>Fellows Workstreams</strong></p>\n<p>Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.</p>\n<p>Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:</p>\n<ul>\n<li>AI Safety Fellows</li>\n<li>AI Security Fellows</li>\n<li>ML Systems &amp; Performance Fellows</li>\n<li>Reinforcement Learning Fellows</li>\n<li>Economics &amp; Societal Impacts Fellows</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_762f29e0-3f9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5023394008","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python programming","Computer science","Mathematics","Physics","Empirical AI research"],"x-skills-preferred":["Economics","Social sciences","Cybersecurity","Open-source contributions"],"datePosted":"2026-04-18T15:38:33.056Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python programming, Computer science, Mathematics, Physics, Empirical AI research, Economics, Social sciences, Cybersecurity, Open-source contributions"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b47fc91b-597"},"title":"Anthropic Fellows Program — ML Systems & Performance","description":"<p>The Anthropic Fellows Program is a 4-month full-time research opportunity designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent, regardless of previous experience. Fellows will primarily use external infrastructure to work on an empirical project aligned with our research priorities, with the goal of producing a public output. In one of our earlier cohorts, over 80% of fellows produced papers.</p>\n<p>We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.</p>\n<p>As a Fellow, you will receive:</p>\n<ul>\n<li>Direct mentorship from Anthropic researchers</li>\n<li>Access to a shared workspace in either Berkeley, California or London, UK</li>\n<li>Connection to the broader AI safety and security research community</li>\n<li>A weekly stipend of $3,850 USD / £2,310 GBP / $4,300 CAD, plus benefits</li>\n<li>Funding for compute and other research expenses</li>\n</ul>\n<p>The interview process will include an initial application and reference check, technical assessments and interviews, and a research discussion.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>The expected base stipend for this role is $3,850 USD / £2,310 GBP / $4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).</p>\n<p>Fellows will undergo a project selection and mentor matching process. Potential mentors include Alwin Peng and Zygi Straznickas. For a past example of an engineering-heavy project, see &#39;AI agents find $4.6M in blockchain smart contract exploits&#39;.</p>\n<p>Projects in this workstream may include building a CPU simulator for accelerator workloads, adding backends for different accelerators on an open source project, building on demand infrastructure for other infrastructure heavy fellows projects, and building complex synthetic data or environment pipelines.</p>\n<p>To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program. Workspace locations are in London and Berkeley, and we are open to remote fellows in the UK, US, or Canada.</p>\n<p>We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organisations.</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_b47fc91b-597","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5183051008","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python programming","Software engineering","Complex ML systems","Distributed systems","High-performance computing","Training, fine-tuning, or evaluating large language models","Analyzing and debugging model training processes"],"x-skills-preferred":["Experience with training, fine-tuning, or evaluating large language models","Adept at analyzing and debugging model training processes","Strong background in a discipline relevant to a specific Fellows workstream","Experience in areas of research or engineering related to their workstream"],"datePosted":"2026-04-18T15:34:47.218Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python programming, Software engineering, Complex ML systems, Distributed systems, High-performance computing, Training, fine-tuning, or evaluating large language models, Analyzing and debugging model training processes, Experience with training, fine-tuning, or evaluating large language models, Adept at analyzing and debugging model training processes, Strong background in a discipline relevant to a specific Fellows workstream, Experience in areas of research or engineering related to their workstream"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1c7263a9-64e"},"title":"Quantum Engineer","description":"<p>As a Quantum Engineer in the quantum integrated circuit design team, you will drive systematic improvements to Rigetti Computing&#39;s quantum processors through modeling and design. This involves contributing to our full-wave electromagnetic simulation workflows and using it to model the performance of superconducting circuits.</p>\n<p>Drawing from your expertise in circuit Quantum Electrodynamics and full-wave radio-frequency engineering, from fundamental theory through practical application, you will identify and implement improvements to the integrated circuit layout to mitigate loss and crosstalk channels. You will lay out and design microwave multi-qubit circuits for fabrication and develop next-generation quantum processors.</p>\n<p>Key responsibilities include designing, laying out, and simulating superconducting microwave integrated circuits for quantum processors, with a focus on optimal on-chip signal delivery (routing, filtering, multiplexing, etc…). You will also simulate the full-wave electromagnetic performance of quantum processors (eigenmode &amp; driven analyses) using commercial finite element software, engineering the mode profile of resonant structures and the coupling between these resonant structures and on-chip feedlines to optimize device performance.</p>\n<p>Engagement with quantum engineers to identify and optimize Hamiltonian parameters for our R&amp;D test devices and deployed quantum processors is also required. Additionally, you will map between target quantum Hamiltonians and integrated circuit layouts using internal python software libraries to construct and diagonalize the quantum Hamiltonian.</p>\n<p>Interpretation of simulation and experimental results to identify and mitigate loss and crosstalk channels, or other undesirable microwave properties of the circuit, is essential. Collaboration with fabrication and experimental teams to develop novel processor architectures is also expected.</p>\n<p>A PhD in Physics, Applied Physics, Electrical Engineering, or a related field, or the equivalent experience in industry and 3+ years of industry experience is preferred. Strong background in the theory and application of circuit Quantum Electrodynamics to the design of superconducting qubit based quantum processors is also required.</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_1c7263a9-64e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Rigetti Computing","sameAs":"https://www.rigetti.com","logo":"https://logos.yubhub.co/rigetti.com.png"},"x-apply-url":"https://jobs.lever.co/rigetti/fc3de2cf-e797-40f4-9f99-89d5bd967a5d","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["circuit Quantum Electrodynamics","full-wave radio-frequency engineering","finite element software","python programming","quantum computing"],"x-skills-preferred":["linear algebra","numerical methods","gdspy","APIs for commercial electromagnetic solvers","open source software"],"datePosted":"2026-04-17T12:54:37.836Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"circuit Quantum Electrodynamics, full-wave radio-frequency engineering, finite element software, python programming, quantum computing, linear algebra, numerical methods, gdspy, APIs for commercial electromagnetic solvers, open source software"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5579e8fb-227"},"title":"Senior AI Engineer","description":"<p>We&#39;re looking for a Senior AI Engineer who is obsessed with building AI systems that actually work in production: reliable, observable, cost-efficient, and genuinely useful. This is not a research role. You will ship AI-powered features that process real financial data for real businesses.</p>\n<p>LLM &amp; AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.</p>\n<p>Develop and operate AI features within Jeeves&#39;s core financial products: spend categorization, document extraction, anomaly detection, financial Q&amp;A, and automated reconciliation.</p>\n<p>Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.</p>\n<p>Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.</p>\n<p>Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.</p>\n<p>Retrieval &amp; Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.</p>\n<p>Build document ingestion and chunking pipelines for Jeeves&#39;s financial data , processing invoices, receipts, policy documents, and transaction records.</p>\n<p>Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.</p>\n<p>ML Model Serving &amp; Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.</p>\n<p>Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.</p>\n<p>Implement model performance monitoring and data drift detection to ensure production models remain accurate over time.</p>\n<p>Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.</p>\n<p>Backend Integration &amp; Reliability - Integrate AI services cleanly with Jeeves&#39;s backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.</p>\n<p>Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.</p>\n<p>Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.</p>\n<p>Build human-in-the-loop review workflows for AI decisions that require oversight , particularly for high-value financial actions.</p>\n<p>Collaboration &amp; Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.</p>\n<p>Contribute to a culture of quality by writing design docs, reviewing peers&#39; AI system designs, and sharing learnings openly.</p>\n<p>Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.</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_5579e8fb-227","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Jeeves","sameAs":"https://www.jeeves.com/","logo":"https://logos.yubhub.co/jeeves.com.png"},"x-apply-url":"https://jobs.lever.co/tryjeeves/2f00206f-6091-4eed-8b5f-1325afdbfe30","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["LLM pipeline engineering","RAG architecture","ML system operation","Python programming","AI orchestration framework","ML model serving infrastructure","Observability tooling"],"x-skills-preferred":["Fintech experience","Prompt evaluation frameworks","ML lifecycle management tools","Real-time data streaming"],"datePosted":"2026-04-17T12:38:27.085Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brazil"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"LLM pipeline engineering, RAG architecture, ML system operation, Python programming, AI orchestration framework, ML model serving infrastructure, Observability tooling, Fintech experience, Prompt evaluation frameworks, ML lifecycle management tools, Real-time data streaming"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3acb6d28-240"},"title":"Photonics Solutions Engineering, Engineer","description":"<p>Synopsys software engineers are key enablers in the world of Electronic Design Automation (EDA), developing and maintaining software used in chip design, verification and manufacturing. 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You’ll collaborate with engineers, scientists, and software developers across global locations, working together to advance photonics workflows and tools that empower our customers.\nOur team values innovation, knowledge sharing, and a supportive environment where every member’s ideas contribute to collective success.</p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings.\nYour recruiter will provide more details about the salary range and benefits during the hiring process.</p>\n<p>At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day.\nWe&#39;re proud to provide the comprehensive benefits and rewards that our team truly deserves.</p>\n<p>Comprehensive medical and healthcare plans that work for you and your family.\nIn addition to company holidays, we have ETO and FTO Programs.\nMaternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.\nPurchase Synopsys common stock at a 15% discount, with a 24 month look-back.\nSave for your future with our retirement plans that vary by region and country.\nCompetitive salaries.</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_3acb6d28-240","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/vancouver/photonics-solutions-engineering-engineer/44408/93005894288","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["photonics","optics","software development","python programming","Lumerical FDTD/MODE/Multiphysics","AI tools","GitHub Copilot"],"x-skills-preferred":[],"datePosted":"2026-04-05T13:22:36.137Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"photonics, optics, software development, python programming, Lumerical FDTD/MODE/Multiphysics, AI tools, GitHub Copilot"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a2a284e6-433"},"title":"Applications Engineering, Staff Engineer (SI/PI)","description":"<p>Engineer the Future with Us</p>\n<p>We currently have 614 open roles</p>\n<p>At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.</p>\n<p>You are a talented engineering professional with a deep passion for leveraging simulation software to solve complex challenges. You thrive in dynamic environments, demonstrating strong technical acumen and the ability to build trusted relationships with customers. 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The team is committed to continuous innovation, professional growth, and delivering exceptional value to regional accounts. Together, you will tackle complex engineering challenges, support sales initiatives, and contribute to the development and enhancement of industry-leading simulation products.</p>\n<p>Rewards and Benefits:</p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.</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_a2a284e6-433","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/taipei/applications-engineering-staff-engineer-si-pi/44408/93512569216","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Master's degree in Electrical Engineering or a related technical discipline","Minimum of 5 years' experience in an engineering software environment","Demonstrated proficiency with Synopsys software or similar commercial CAE, CAD, EDA packages","Strong knowledge of Power Integrity (PI), Signal Integrity (SI), and EMI simulation and measurement","Exceptional interpersonal and communication skills","Fluent English writing and presentation skills","Logical problem-solving approach with clear communication of solutions to customers","Professional image and business acumen in customer interactions","Organizational and follow-up skills with a sense of urgency","Python programming skills and IC/3DIC design knowledge are a plus"],"x-skills-preferred":[],"datePosted":"2026-04-05T13:22:33.206Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Taipei"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Master's degree in Electrical Engineering or a related technical discipline, Minimum of 5 years' experience in an engineering software environment, Demonstrated proficiency with Synopsys software or similar commercial CAE, CAD, EDA packages, Strong knowledge of Power Integrity (PI), Signal Integrity (SI), and EMI simulation and measurement, Exceptional interpersonal and communication skills, Fluent English writing and presentation skills, Logical problem-solving approach with clear communication of solutions to customers, Professional image and business acumen in customer interactions, Organizational and follow-up skills with a sense of urgency, Python programming skills and IC/3DIC design knowledge are a plus"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d4ff33d0-508"},"title":"Financial Engineering, Associate","description":"<p>Are you interested in building innovative technology that shapes global financial markets? 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These roles span a range of quantitative and engineering disciplines and offer the opportunity to contribute to the development of the Aladdin platform across diverse business areas.</p>\n<p>The teams we are hiring to are:</p>\n<ul>\n<li>Model Governance Team</li>\n<li>Single Security Pricing Team</li>\n<li>Performance Attribution Team</li>\n<li>Private Markets SWAT Team</li>\n</ul>\n<p>While the specific responsibilities vary by team, all positions focus on building robust, scalable technology and quantitative models that support investment decision making, risk management, and regulatory requirements for BlackRock and its global client base.</p>\n<p>You will be part of a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE), the business responsible for the research and development of Aladdin’s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community).</p>\n<p>We are passionate about building high quality models to meet the needs of tomorrow and delivering solutions for both BlackRock investment users and over 100 global financial firms. 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This will involve working with Sales to develop sales strategies, engaging with customers to understand their existing product development process, developing a vision for enhancing their existing process with products and services, articulating that vision to the customer, and working with the team to develop a plan for execution of that vision</li>\n<li>Contribute to Services projects of higher complexity involving multi-physics workflows, PIDO, MBSE and AI/ML.</li>\n<li>Track and document positive business outcomes from delivered Services work</li>\n<li>Expand your technical knowledge, learn relevant products, contribute to internal company knowledge sharing initiatives. Embrace the culture of codifying and creating best practices within a technical discipline and across disciplines.</li>\n<li>Look for opportunities to generate marketing collateral from projects such as success stories, testimonials and presentation material</li>\n<li>Collaborate with Product Development to enhance our software products and the customers’ experience using these products</li>\n<li>Conduct training classes</li>\n</ul>\n<p><strong>The Impact You Will Have:</strong></p>\n<ul>\n<li>Empowering clients to harness Synopsys solutions for maximum business value.</li>\n<li>Driving adoption and retention by ensuring clients achieve their desired outcomes.</li>\n<li>Building lasting partnerships through exceptional service and proactive communication.</li>\n<li>Contributing to the continuous improvement of Synopsys’ professional services methodology.</li>\n<li>Enhancing cross-functional collaboration and knowledge sharing within the organization.</li>\n<li>Helping shape the future of technology by supporting innovative projects and solutions.</li>\n<li>Influencing product enhancements by sharing client feedback and insights with development teams.</li>\n<li>Establishing Synopsys as a trusted advisor and industry leader in professional services consulting.</li>\n</ul>\n<p><strong>What You’ll Need:</strong></p>\n<ul>\n<li>Required education and degree type: BS or MS or PhD in Mechanical/Aerospace/ Engineering or related field</li>\n<li>Required minimum years of professional experience in an engineering software environment: BS+5, MS+3, or PhD+0</li>\n<li>Demonstrated use of relevant Ansys software or knowledge of other commercial CAE, CAD, EDA, PLM software packages</li>\n<li>Subject matter expert in one or more relevant disciplines within Ansys’ business and is/will be sought out for advice by other Ansys engineers</li>\n<li>Logical problem-solving, strong interpersonal and communication skills, fluent in writing and speaking English</li>\n<li>Strong organizational and time management skills, possesses a sense of urgency</li>\n<li>Projects a professional image and demonstrates business acumen, driven to succeed</li>\n<li>Ability to travel domestically up to 25% of time</li>\n<li>Two(2) years of hands-on experience in Mechanical modeling of industrial applications using commercial CAE tools like Ansys Mechanical or equivalent</li>\n<li>Proficient in workflow customization or automation using the Python programming language</li>\n</ul>\n<p><strong>Who You Are:</strong></p>\n<ul>\n<li>Adaptable and resourceful, able to navigate ambiguity and evolving priorities.</li>\n<li>Customer-centric with a strong sense of empathy and relationship-building skills.</li>\n<li>Analytical thinker with keen attention to detail and problem-solving abilities.</li>\n<li>Collaborative team player who thrives in diverse, cross-functional environments.</li>\n<li>Driven by curiosity and continuous improvement, eager to learn and share knowledge.</li>\n<li>Proactive communicator, skilled in influencing and aligning stakeholders.</li>\n<li>Organized, reliable, and committed to delivering high-quality results.</li>\n</ul>\n<p><strong>The Team You’ll Be A Part Of:</strong></p>\n<p>You’ll join a vibrant Professional Services team dedicated to empowering clients through expert consulting and strategic communications. The team is composed of specialists from diverse backgrounds, united by a shared commitment to delivering innovative solutions and exceptional customer experiences. Collaborative, supportive, and growth-oriented, the team values open communication, knowledge sharing, and continuous learning. Together, you’ll work on cutting-edge projects that shape the future of technology and drive Synopsys’ success.</p>\n<p><strong>Rewards and Benefits:</strong></p>\n<p>We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. 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As a Business Intelligence Data Analyst, you will become a subject matter expert for BI (data &amp; analytics) on all intelligence-related tasks. You will work independently and in a team environment performing requirements gathering, data analysis, process mapping, test case definition, development, and collaboration across multiple business units and projects.</p>\n<p><strong>Role Overview</strong></p>\n<p>The Business Intelligence Data Analyst will be responsible for developing and implementing interactive analytic reports and dashboards. You will translate business requirements into ETL and report specifications, analyze and document complex business processes, and develop and implement ETL processes, reports, and queries in support of business analytics.</p>\n<p><strong>Skills Required</strong></p>\n<ul>\n<li>5+ years&#39; experience with Power BI</li>\n<li>Working experience with Microsoft Office 365</li>\n<li>Working experience with Microsoft Power Platform</li>\n<li>Working experience with Google Suite and App Script</li>\n<li>Proficiency with DAX and M languages</li>\n<li>Proficiency in SQL Queries</li>\n<li>Excellent written and oral communication skills</li>\n<li>Excellent time management and organizational skills</li>\n<li>Detail oriented but able to understand the big picture</li>\n<li>Experience communicating with business users</li>\n<li>Bachelor&#39;s degree in computer science, Information Technology, or related field. Relevant work experience will also be considered</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>Our employees are our most valuable resource; therefore, we provide them with a competitive compensation package commensurate with skills and experience, excellent benefits, high level of job satisfaction and a casual and fun work environment.</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_863d1fd7-9ed","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Keywords Studios","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/6FC2E51793","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"permanent","x-salary-range":null,"x-skills-required":["Power BI","Microsoft Office 365","Microsoft Power Platform","Google Suite","DAX","M languages","SQL Queries"],"x-skills-preferred":["Python Programming","Statistical computing experience","Cloud Platforms – AWS/Azure, Snowflake, Databricks","DevOps implementation practices","Scrum methodology delivery experience"],"datePosted":"2026-03-09T10:56:36.614Z","jobLocationType":"TELECOMMUTE","occupationalCategory":"Engineering","industry":"Technology","skills":"Power BI, Microsoft Office 365, Microsoft Power Platform, Google Suite, DAX, M languages, SQL Queries, Python Programming, Statistical computing experience, Cloud Platforms – AWS/Azure, Snowflake, Databricks, DevOps implementation practices, Scrum methodology delivery experience"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5fba9d7d-674"},"title":"AI Security Fellow","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>AI Security at Anthropic</strong></p>\n<p>We believe we are at an inflection point for AI&#39;s impact on cybersecurity. Models are now useful for cybersecurity tasks in practice: for example, Claude can now outperform human teams in some cybersecurity competitions and help us discover vulnerabilities in our own code.</p>\n<p>We are looking for researchers and engineers to help us accelerate defensive use of AI to secure code and infrastructure.</p>\n<p><strong>Anthropic Fellows Program Overview</strong></p>\n<p>The Anthropic Fellows Program is designed to accelerate AI security and safety research, and foster research talent. We provide funding and mentorship to promising technical talent - regardless of previous experience - to research the frontier of AI security and safety for four months.</p>\n<p>Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In our previous cohorts, over 80% of fellows produced papers (more below).</p>\n<p>We run multiple cohorts of Fellows each year. This application is for cohorts starting in July 2026 and beyond.</p>\n<p><strong>What to Expect</strong></p>\n<ul>\n<li>Direct mentorship from Anthropic researchers</li>\n<li>Access to a shared workspace (in either Berkeley, California or London, UK)</li>\n<li>Connection to the broader AI safety research community</li>\n<li>Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD &amp; access to benefits (benefits vary by country)</li>\n<li>Funding for compute (~$15k/month) and other research expenses</li>\n</ul>\n<p><strong>Mentors, Research Areas, &amp; Past Projects</strong></p>\n<p>Fellows will undergo a project selection &amp; mentor matching process. Potential mentors include:</p>\n<ul>\n<li>Nicholas Carlini</li>\n<li>Keri Warr</li>\n<li>Evyatar Ben Asher</li>\n<li>Keane Lucas</li>\n<li>Newton Cheng</li>\n</ul>\n<p>On our Alignment Science and Frontier Red Team blogs, you can read about some past Fellows projects, including:</p>\n<ul>\n<li>AI agents find $4.6M in blockchain smart contract exploits: Winnie Xiao and Cole Killian, mentored by Nicholas Carlini and Alwin Peng</li>\n<li>Strengthening Red Teams: A Modular Scaffold for Control Evaluations: Chloe Loughridge et al., mentored by Jon Kutasov and Joe Benton</li>\n</ul>\n<p><strong>You may be a good fit if you</strong></p>\n<ul>\n<li>Are motivated by reducing catastrophic risks from advanced AI systems</li>\n<li>Are excited to transition into full-time empirical AI safety research and would be interested in a full-time role at Anthropic</li>\n</ul>\n<p><strong>Please note:</strong></p>\n<p>We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit here at Anthropic. In previous cohorts, over 40% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on safety at other organisations.</p>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Contributed to open-source projects in LLM- or security-adjacent repositories</li>\n<li>Demonstrated success in bringing clarity and ownership to ambiguous technical problems</li>\n<li>Experience with pentesting, vulnerability research, or other offensive security</li>\n<li>A history demonstrating desire to do the &#39;dirty work&#39; that results in high-quality outputs</li>\n<li>Reported CVEs, or been awarded for bug bounty vulnerabilities</li>\n<li>Experience with empirical ML research projects</li>\n<li>Experience with deep learning frameworks and experiment management</li>\n</ul>\n<p><strong>Candidates must be:</strong></p>\n<ul>\n<li>Fluent in Python programming</li>\n<li>Available to work full-time on the Fellows program for 4 months</li>\n</ul>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong></p>\n<p>Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p><strong>Interview process</strong></p>\n<p>The interview process will include an initial application &amp; references check, technical assessments &amp; interviews, and a research discussion.</p>\n<p><strong>Compensation</strong></p>\n<p>The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week, for 4 months (with possible extension).</p>\n<p><strong>Logistics</strong></p>\n<p>Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.</p>\n<p>Workspace Locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.</p>\n<p>Visa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.</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_5fba9d7d-674","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5030244008","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"3,850 USD / 2,310 GBP / 4,300 CAD per week","x-skills-required":["Python programming","AI security","Cybersecurity","Empirical research","Machine learning","Deep learning","Experiment management"],"x-skills-preferred":["Open-source projects","Pentesting","Vulnerability research","Offensive security","CVEs","Bug bounty vulnerabilities","Empirical ML research projects","Deep learning frameworks"],"datePosted":"2026-03-08T13:52:43.813Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python programming, AI security, Cybersecurity, Empirical research, Machine learning, Deep learning, Experiment management, Open-source projects, Pentesting, Vulnerability research, Offensive security, CVEs, Bug bounty vulnerabilities, Empirical ML research projects, Deep learning frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":2310,"maxValue":4300,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_80561904-5df"},"title":"IT Systems Engineer","description":"<p><strong>About the role</strong></p>\n<p>The IT Engineering team at Anthropic builds, secures, and maintains the systems and infrastructure that enable every team to do their best work. We&#39;re seeking an experienced engineer with deep expertise across IT domains—from endpoint management and identity systems to cloud infrastructure, networking, and SaaS security—who can help design, build, and maintain the tools and processes that enable and empower Anthropic employees.</p>\n<p>In this role, you&#39;ll work closely with Security, IT Operations, and Engineering to implement zero-trust architectures and defense-in-depth strategies that both enable the business and meet Anthropic&#39;s ambitious security objectives. 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Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</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_80561904-5df","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4887952008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$225,000 - $275,000USD","x-skills-required":["Python programming","Terraform","AWS cloud platforms","Identity protocols","Heterogeneous environment management","Enterprise SaaS administration","Identity and access management","CI/CD pipeline design","Configuration management tools","Network security","Modern MDM platforms","Security frameworks and compliance"],"x-skills-preferred":["Python programming","Terraform","AWS cloud platforms","Identity protocols","Heterogeneous environment management","Enterprise SaaS administration","Identity and access management","CI/CD pipeline design","Configuration management tools","Network security","Modern MDM platforms","Security frameworks and compliance"],"datePosted":"2026-03-08T13:45:25.642Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, Seattle, WA, New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python programming, Terraform, AWS cloud platforms, Identity protocols, Heterogeneous environment management, Enterprise SaaS administration, Identity and access management, CI/CD pipeline design, Configuration management tools, Network security, Modern MDM platforms, Security frameworks and compliance, Python programming, Terraform, AWS cloud platforms, Identity protocols, Heterogeneous environment management, Enterprise SaaS administration, Identity and access management, CI/CD pipeline design, Configuration management tools, Network security, Modern MDM platforms, Security frameworks and compliance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":225000,"maxValue":275000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_771f8f42-36f"},"title":"CFD Methodology Engineer","description":"<p><strong>Join Our Team</strong></p>\n<p>We are the Audi Revolut F1 Team.</p>\n<p>Audi will compete in the FIA Formula 1 World Championship starting in 2026.</p>\n<p>The team has three locations. Audi&#39;s Motorsport Competence Center in Neuburg, Germany, is considered one of the most modern of its kind in Europe.</p>\n<p>The Formula 1 Factory of Audi Motorsport AG in Hinwil (Switzerland) is known for its innovative technologies and passion for racing.</p>\n<p>The Audi Motorsport Technology Centre, UK, is in its launch phase and growing continuously. 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This is what defines us.</strong></p>\n<p><strong>Take a closer look.</strong></p>\n<p>Your browser does not support the video tag.</p>\n<p>Explore the R26</p>\n<p>Meet the team</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_771f8f42-36f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Audi Revolut F1 Team","sameAs":"https://www.audif1.com","logo":"https://logos.yubhub.co/audif1.com.png"},"x-apply-url":"https://www.audif1.com/career/details/1589976","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["MSc or PhD in Aerospace Engineering, Mechanical Engineering, Mathematics or a related field","At least 3 years of professional experience developing CFD Methods in OpenFOAM","Knowledge of high-Reynolds flows physics and turbulence modelling","Knowledge of C++ and Python programming languages","Familiarity with software release, update and deployment techniques","Experience in parallel computing and high-performance computing (HPC)","Familiarity with developing software in Linux environments"],"x-skills-preferred":["Previous F1 experience","German language skills"],"datePosted":"2026-03-06T18:18:00.137Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hinwil, Switzerland"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Motorsport","skills":"MSc or PhD in Aerospace Engineering, Mechanical Engineering, Mathematics or a related field, At least 3 years of professional experience developing CFD Methods in OpenFOAM, Knowledge of high-Reynolds flows physics and turbulence modelling, Knowledge of C++ and Python programming languages, Familiarity with software release, update and deployment techniques, Experience in parallel computing and high-performance computing (HPC), Familiarity with developing software in Linux environments, Previous F1 experience, German language skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a79fa56e-f03"},"title":"Model Design Staff - Language Engineer","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Model Design Staff - Language Engineer at their Redmond office. 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