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As a member of this team, you will be creating building blocks to support the expanding ecosystem of AI applications. Temporal provides durable execution, the systems foundation used for reliable AI at leaders such as OpenAI, Lovable, Replit, and many others.</p>\n<p>The AI SDK team is pushing to keep Temporal at the forefront of AI applications. Because the landscape is constantly changing, we engage heavily in prototyping to ensure that the abstractions we develop meet the needs of emerging applications. 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As a Java Engineer, you&#39;ll be working on our investment operating system Aladdin, which is used by financial institutions worldwide. You&#39;ll be part of the Aladdin Engineering team, responsible for building the next generation of technology that changes the way information, people, and technology intersect for global investment firms.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Take ownership of individual project priorities, deadlines, and deliverables using AGILE methodologies.</li>\n<li>Deliver high-efficiency, high-availability, concurrent, and fault-tolerant software systems.</li>\n<li>Contribute to the development of Aladdin&#39;s global, multi-asset trading platform.</li>\n<li>Design and develop innovative solutions to complex problems, identifying issues and roadblocks.</li>\n<li>Demonstrate vision when brainstorming solutions for team productivity, efficiency, guiding, and motivating developers.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Master&#39;s Degree or PhD in Computer Science, Engineering, or Mathematics.</li>\n<li>Hands-on experience in Java or web development (JavaScript).</li>\n<li>Good understanding of concurrent programming and design of high-throughput, high-availability, fault-tolerant distributed applications and databases.</li>\n<li>Strong interest in distributed systems, infrastructure services, cloud technology, and AI/ML techniques and technology.</li>\n<li>Prior experience in building distributed applications using SQL and/or NoSQL technologies such as MSSQL, MongoDB, Snowflake, or Redis is a plus.</li>\n<li>Prior experience with message broker technology such as Kafka or gRPC is a plus.</li>\n<li>Prior experience in modern front-end frameworks such as React, Vue.js, or Angular is a plus. Angular preferred.</li>\n<li>Excellent analytical and software architecture design skills, with an emphasis on test-driven development.</li>\n<li>Effective communication and presentation skills, both written and verbal</li>\n</ul>\n<p>Our benefits include retirement investment and tools designed to help you build a sound financial future, access to education reimbursement, comprehensive resources to support your physical health and emotional well-being, family support programs, and Flexible Time Off (FTO) so you can relax, recharge, and be there for the people you care about.</p>\n<p>Our hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. 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However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> 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. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential</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_601a3593-052","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/4613568008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$500,000 - $850,000USD","x-skills-required":["Python","async/concurrent programming","Trio","PyTorch","TensorFlow","JAX","machine learning frameworks","reinforcement learning techniques","environments","virtualization","sandboxed code execution environments","Kubernetes","distributed systems","high-performance computing","Rust","C++"],"x-skills-preferred":["LLM architectures","training methodologies","reinforcement learning","distributed systems","high-performance computing"],"datePosted":"2026-03-08T13:49:41.142Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, async/concurrent programming, Trio, PyTorch, TensorFlow, JAX, machine learning frameworks, reinforcement learning techniques, environments, virtualization, sandboxed code execution environments, Kubernetes, distributed systems, high-performance computing, Rust, C++, LLM architectures, training methodologies, reinforcement learning, distributed systems, high-performance computing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":500000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_221e855f-2b9"},"title":"Research Engineer, Machine Learning (Reinforcement Learning)","description":"<p><strong>About the Role</strong></p>\n<p>As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You&#39;ll work on fundamental research in reinforcement learning, creating &#39;agentic&#39; models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.</p>\n<p><strong>Representative projects:</strong></p>\n<ul>\n<li>Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows.</li>\n</ul>\n<ul>\n<li>Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models.</li>\n</ul>\n<ul>\n<li>Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows.</li>\n</ul>\n<ul>\n<li>Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research.</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Are proficient in Python and async/concurrent programming with frameworks like Trio</li>\n</ul>\n<ul>\n<li>Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX)</li>\n</ul>\n<ul>\n<li>Have industry experience in machine learning research</li>\n</ul>\n<ul>\n<li>Can balance research exploration with engineering implementation</li>\n</ul>\n<ul>\n<li>Enjoy pair programming (we love to pair!)</li>\n</ul>\n<ul>\n<li>Care about code quality, testing, and performance</li>\n</ul>\n<ul>\n<li>Have strong systems design and communication skills</li>\n</ul>\n<ul>\n<li>Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems</li>\n</ul>\n<p><strong>Strong candidates may have:</strong></p>\n<ul>\n<li>Familiarity with LLM architectures and training methodologies</li>\n</ul>\n<ul>\n<li>Experience with reinforcement learning techniques and environments</li>\n</ul>\n<ul>\n<li>Experience with virtualization and sandboxed code execution environments</li>\n</ul>\n<ul>\n<li>Experience with Kubernetes</li>\n</ul>\n<ul>\n<li>Experience with distributed systems or high-performance computing</li>\n</ul>\n<ul>\n<li>Experience with Rust and/or C++</li>\n</ul>\n<p><strong>Strong candidates need not have:</strong></p>\n<ul>\n<li>Formal certifications or education credentials</li>\n</ul>\n<ul>\n<li>Academic research experience or publication history</li>\n</ul>\n<p><strong>Deadline to apply:</strong> None. Applications will be reviewed on a rolling basis.</p>\n<p>The annual compensation range for this role is listed below.</p>\n<p>For sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary:</p>\n<p>£260,000 - £630,000GBP</p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</p>\n<p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> 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>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic is a legitimate company and we will never ask you to pay any fees or provide sensitive information via email or phone.</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_221e855f-2b9","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/5115935008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£260,000 - £630,000GBP","x-skills-required":["Python","async/concurrent programming","Trio","machine learning frameworks","PyTorch","TensorFlow","JAX","reinforcement learning techniques","environments","virtualization","sandboxed code execution environments","Kubernetes","distributed systems","high-performance computing","Rust","C++"],"x-skills-preferred":["LLM architectures","training methodologies","reinforcement learning techniques","environments","virtualization","sandboxed code execution environments","Kubernetes","distributed systems","high-performance computing","Rust","C++"],"datePosted":"2026-03-08T13:44:26.776Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, async/concurrent programming, Trio, machine learning frameworks, PyTorch, TensorFlow, JAX, reinforcement learning techniques, environments, virtualization, sandboxed code execution environments, Kubernetes, distributed systems, high-performance computing, Rust, C++, LLM architectures, training methodologies, reinforcement learning techniques, environments, virtualization, sandboxed code execution environments, Kubernetes, distributed systems, high-performance computing, Rust, C++","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":260000,"maxValue":630000,"unitText":"YEAR"}}}]}