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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_c7e58f60-5fa"},"title":"Software Engineer - Learning Engineering and Data (LEaD) Program","description":"<p>As a member of our Miami-based Learning Engineering and Data (LEaD) program, you will work alongside technology mentors and leaders to develop and maintain applications and tools spanning front-office, middle-office, and back-office functions in a dynamic and fast-paced environment.</p>\n<p>Our technology teams are looking for Software Engineers with C++, Python, or Java to design, implement, and maintain systems supporting our technology business functions.</p>\n<p>Candidate is expected to:</p>\n<ul>\n<li>Work closely with technology teams to develop requirements and specifications for varying projects</li>\n<li>Take part in the development and enhancement of the backend distributed system</li>\n<li>Apply AI/ML (deep learning, natural language processing, large language models) to practical and comprehensive technology solutions</li>\n</ul>\n<p>Qualifications/Skills Required:</p>\n<ul>\n<li>2-5 years of experience working with C++, Python, or Java</li>\n<li>Experience with ML libraries, Pandas, NumPy, FastAPI (Python), Boost (C++), Spring Boot (Java)</li>\n<li>Must be comfortable working in both Unix/Linux and Windows environments</li>\n<li>Good understanding of various design patterns</li>\n<li>Strong analytical and mathematical skills along with an interest/ability to quickly learn additional languages and quantitative concepts</li>\n<li>Solid communication skills</li>\n<li>Able to work collaboratively in a fast-paced environment with a passion to solving complex problems</li>\n<li>Detail oriented, organized, demonstrating thoroughness and strong ownership of work</li>\n</ul>\n<p>Desirable Skills/Knowledge:</p>\n<ul>\n<li>Bachelor or Master&#39;s degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field</li>\n<li>Demonstrable passion for developing LLM-powered products whether that is through commercial experience or open source/academic projects you have worked on in your own time</li>\n<li>Hands-on experience building ML and data pipeline architectures</li>\n<li>Understanding of distributed messaging systems</li>\n<li>Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred)</li>\n<li>Experience with relational and non-relational database platforms</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_c7e58f60-5fa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"IT LEad Program","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755953879362","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C++","Python","Java","ML libraries","Pandas","NumPy","FastAPI","Boost","Spring Boot"],"x-skills-preferred":["Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field","Demonstrable passion for developing LLM-powered products","Hands-on experience building ML and data pipeline architectures","Understanding of distributed messaging systems","Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred)","Experience with relational and non-relational database platforms"],"datePosted":"2026-04-18T22:13:11.242Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miami, Florida, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"C++, Python, Java, ML libraries, Pandas, NumPy, FastAPI, Boost, Spring Boot, Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field, Demonstrable passion for developing LLM-powered products, Hands-on experience building ML and data pipeline architectures, Understanding of distributed messaging systems, Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred), Experience with relational and non-relational database platforms"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d08d38d2-b72"},"title":"Engineering Manager, Agent Prompts & Evals","description":"<p><strong>About the Role</strong></p>\n<p>Anthropic is looking for an Engineering Manager to lead the Agent Prompts &amp; Evals team. This team owns the infrastructure that lets Anthropic ship model and prompt changes with confidence , the eval frameworks, system prompt pipelines, and regression-detection systems that every model launch depends on.</p>\n<p>When a new Claude model is ready to ship, this team is the one answering “is it actually better in our products?” When a product team wants to change how Claude behaves, this team owns the tooling that tells them whether they broke something. It’s a platform team whose platform is model behavior itself.</p>\n<p>The team sits deliberately at the seam between product engineering and research. You’ll partner closely with other evals groups across the company on shared infrastructure and methodology, with product teams who are shipping features on top of Claude, and with the TPMs and research PMs driving model launches. 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However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren’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.</li>\n</ul>\n<p><strong>How we’re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. 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As a Senior Analytics Engineer at ZoomInfo, you&#39;ll be responsible for building deep expertise in our company data pipeline architecture.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Master our company data pipeline architecture,how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect</li>\n<li>Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system</li>\n<li>Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact</li>\n<li>Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale</li>\n</ul>\n<p><strong>What You&#39;ll Do:</strong></p>\n<p>In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. 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