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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_6be81135-7d1"},"title":"Product Training Engineer","description":"<p>In this role, you will support the Altius business line by contributing your technical expertise and fostering strategic collaboration across various hardware and software development teams.</p>\n<p>As a valued member of our team, you will play an integral role in developing and testing innovative solutions designed to address real-world challenges. This position underscores the importance of an iterative approach to our operations - design, test, field, and refine - thereby driving continuous improvement of our systems and services.</p>\n<p>You will own various approaches to achieve product development goals through end-to-end product testing and operating procedural definition. You will interface with internal operations and product teams to identify and solve system or product reliability issues.</p>\n<p>You will conduct end-to-end testing to establish robust QA matrices for our products. You will drive continuous improvement initiatives to enhance engineering processes and efficiency.</p>\n<p>You will formulate and refine operational procedures and workflows. You will train colleagues on the procedures and workflows developed for new engineering capabilities.</p>\n<p>You will provide valuable feedback to engineering teams to improve product functionality. You will lead new project initiatives, focusing on product operations and user maintenance planning.</p>\n<p>You will architect and implement cutting-edge sustainment strategies for advanced defense systems. You will spearhead the development of comprehensive lifecycle support plans for Anduril&#39;s innovative products.</p>\n<p>You will collaborate with cross-functional teams to optimize product design for long-term supportability.</p>\n<p>Required qualifications include a strong aptitude for problem-solving in unstructured situations at the interface of hardware, software, and networking. You should have experience working on advanced hardware systems.</p>\n<p>Familiarity with government testing protocols, compliance, and regulations is also required. Experience with Aircraft Reliability Engineering is preferred.</p>\n<p>You must be eligible to obtain and maintain a U.S. Secret security clearance. Ability to travel as required for planning and testing (30%) is also necessary.</p>\n<p>Preferred qualifications include technical writing experience developing standards, specifications, user guides, and policies. Proficiency in CAD software and product lifecycle management tools is also preferred.</p>\n<p>Aircraft, spacecraft, or UAV operations experience, training experience, and prior military or government agency exposure/experience are also desirable.</p>\n<p>The salary range for this role is $98,000-$129,000 USD.</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_6be81135-7d1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Altius","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5055326007","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$98,000-$129,000 USD","x-skills-required":["problem-solving","hardware systems","government testing protocols","compliance","regulations","Aircraft Reliability Engineering","U.S. Secret security clearance"],"x-skills-preferred":["technical writing","CAD software","product lifecycle management tools","Aircraft operations","spacecraft operations","UAV operations","training experience","prior military or government agency exposure/experience"],"datePosted":"2026-04-18T15:49:58.649Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta, Georgia, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"problem-solving, hardware systems, government testing protocols, compliance, regulations, Aircraft Reliability Engineering, U.S. Secret security clearance, technical writing, CAD software, product lifecycle management tools, Aircraft operations, spacecraft operations, UAV operations, training experience, prior military or government agency exposure/experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":98000,"maxValue":129000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d2f5b1e5-545"},"title":"Research Scientist, Gemini Safety","description":"<p>We&#39;re seeking a versatile Research Scientist to join our Gemini Safety team. As a Research Scientist, you will apply and develop data and algorithmic cutting-edge solutions to advance our latest user-facing models. Your work will focus on advancing the safety and fairness behavior of state-of-the-art AI models, driving the development of foundational technology adopted by numerous product areas, including Gemini App, Cloud API, and Search.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Post-training/instruction tuning state-of-the-art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities</li>\n<li>Exploring data, reasoning, and algorithmic solutions to ensure Gemini Models are safe, maximally helpful, and work for everyone</li>\n<li>Improve Gemini&#39;s adversarial robustness, with a focus on high-stakes abuse risks</li>\n<li>Design and maintain high-quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairness</li>\n<li>Develop and execute experimental plans to address known gaps, or construct entirely new capabilities</li>\n<li>Drive innovation and enhance understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale</li>\n</ul>\n<p>To succeed as a Research Scientist in the Gemini Safety team, we look for the following skills and experience:</p>\n<ul>\n<li>PhD in Computer Science, a related field, or equivalent practical experience</li>\n<li>Significant LLM post-training experience</li>\n<li>Experience in Reward modeling and Reinforcement Learning for LLMs Instruction tuning</li>\n<li>Experience with Long-range Reinforcement learning</li>\n<li>Experience in areas such as Safety, Fairness, and Alignment</li>\n<li>Track record of publications at NeurIPS, ICLR, ICML</li>\n<li>Experience taking research from concept to product</li>\n<li>Experience with collaborating or leading an applied research project</li>\n<li>Strong experimental taste: Good judgment regarding baselines, ablations, and what is worth testing</li>\n<li>Experience with JAX</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_d2f5b1e5-545","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7731944","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["PhD in Computer Science","LLM post-training experience","Reward modeling and Reinforcement Learning for LLMs Instruction tuning","Long-range Reinforcement learning","Safety, Fairness, and Alignment","NeurIPS, ICLR, ICML publications","Research from concept to product","Collaborating or leading an applied research project","JAX"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:40:08.109Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Zurich, Switzerland"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD in Computer Science, LLM post-training experience, Reward modeling and Reinforcement Learning for LLMs Instruction tuning, Long-range Reinforcement learning, Safety, Fairness, and Alignment, NeurIPS, ICLR, ICML publications, Research from concept to product, Collaborating or leading an applied research project, JAX"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f77be5b8-7b6"},"title":"Finance Expert - Risk","description":"<p>As a Finance Risk Expert at xAI, you will play a crucial role in advancing our cutting-edge AI systems by providing high-quality annotations, expert evaluations, and detailed risk reasoning using specialized labeling tools.</p>\n<p>You will collaborate closely with technical teams to support the development and refinement of new AI capabilities, with a primary focus on quantitative financial risk management domains. 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SOPs, evaluation checklists, and operator handbooks.</li>\n</ul>\n<p>Operational Integration:</p>\n<ul>\n<li>Translate real-world mission lessons learned into updated training materials and standards.</li>\n<li>Participate in sea trials, autonomy testing, and operational deployments to remain current on platform capabilities.</li>\n<li>Collaborate with engineering and autonomy teams to incorporate new systems, software releases, and operational changes into training.</li>\n<li>Support development of training scenarios that reflect realistic operational risks and mission profiles.</li>\n</ul>\n<p>Safety, Compliance &amp; Certification:</p>\n<ul>\n<li>Embed maritime safety culture and risk management principles throughout all training phases.</li>\n<li>Ensure training programs align with applicable USCG, SOLAS, IMO, and Class expectations where applicable.</li>\n<li>Validate operator readiness through formal evaluation events, check rides, and scenario-based assessments.</li>\n<li>Maintain documentation supporting inspections, audits, and operational readiness reviews.</li>\n</ul>\n<p>Evaluation &amp; Readiness Metrics:</p>\n<ul>\n<li>Develop measurable operator performance standards and evaluation frameworks.</li>\n<li>Conduct operator proficiency assessments and remediation planning.</li>\n<li>Track training outcomes, qualification status, and pipeline health.</li>\n<li>Provide leadership with readiness reports and training effectiveness metrics.</li>\n</ul>\n<p>External Coordination &amp; Maritime Integration:</p>\n<ul>\n<li>Coordinate training-related interactions with port authorities, pilot associations, and regulatory stakeholders when required.</li>\n<li>Develop onboarding and certification programs for external operators or customer personnel.</li>\n<li>Support government and partner training engagements as part of operational programs.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Extensive experience in a senior 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skills.</li>\n<li>Ability to manage multiple training tracks simultaneously in a fast-paced development environment.</li>\n<li>Excellent communication skills across engineering, operations, and leadership teams.</li>\n<li>Ability to translate complex technical systems into clear operational instruction.</li>\n<li>Up to 50% travel; rotational field presence supporting sea trials and training events.</li>\n</ul>\n<p>Physical Demands:</p>\n<ul>\n<li>Must be capable of participating in live vessel training operations, shipyard activities, and field exercises in maritime environments.</li>\n<li>Ability to certify as “fit for work” by demonstrating ability to swim and tread water</li>\n<li>Frequently and repetitively, lift, push and carry up to 50 lbs.</li>\n<li>Will be exposed to marine environments, including sun, wind, rain, cold, and saltwater spray, often for extended periods</li>\n<li>Must be able to operate in daylight, low-light, and night conditions using marine navigation systems 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As a key member of our team, you will apply and develop cutting-edge data and algorithmic solutions to ensure Gemini models are safe, maximally helpful, and work for everyone.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Post-training/instruction tuning state-of-the-art language models, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities</li>\n<li>Exploring data, reasoning, and algorithmic solutions to ensure Gemini models are safe and work for everyone</li>\n<li>Improving Gemini&#39;s adversarial robustness, with a focus on high-stakes abuse risks</li>\n<li>Designing and maintaining high-quality evaluation protocols to assess model behaviour gaps and headroom related to safety and fairness</li>\n<li>Developing and executing experimental plans to address known gaps or construct entirely new capabilities</li>\n</ul>\n<p>To succeed in this role, you should have a PhD in Computer Science or a related field, significant LLM post-training experience, and a track record of publications at top conferences. 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