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You will be building and optimising the platform to enable our next generation LLM training, inference and data curation.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building, profiling and optimising our training and inference framework.</li>\n<li>Collaborating with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.</li>\n<li>Researching and integrating state-of-the-art technologies to optimise our ML system.</li>\n</ul>\n<p>The ideal candidate will have:</p>\n<ul>\n<li>Passionate about system optimisation.</li>\n<li>Experience with multi-node LLM training and inference.</li>\n<li>Experience with developing large-scale distributed ML systems.</li>\n<li>Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.</li>\n<li>Strong software engineering skills, proficient in frameworks and tools such as CUDA, PyTorch, transformers, flash attention, etc.</li>\n</ul>\n<p>Nice to haves include demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</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_539e2a23-ddf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4618046005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$264,800-$331,000 USD","x-skills-required":["system optimisation","multi-node LLM training and inference","large-scale distributed ML systems","post-training methods","software engineering skills","CUDA","PyTorch","transformers","flash attention"],"x-skills-preferred":["next generation use cases for large language models","instruction tuning","RLHF","tool use","reasoning","agents","multimodal"],"datePosted":"2026-04-18T15:59:21.558Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"system optimisation, multi-node LLM training and inference, large-scale distributed ML systems, post-training methods, software engineering skills, CUDA, PyTorch, transformers, flash attention, next generation use cases for large language models, instruction tuning, RLHF, tool use, reasoning, agents, multimodal","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":264800,"maxValue":331000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_07a3c83e-51e"},"title":"Research Engineer, Infrastructure, Numerics","description":"<p>We&#39;re looking for an infrastructure research engineer to design and build the core systems that enable efficient large-scale model training with a focus on numerics. You will focus on improving the numerical foundations of our distributed training stack, from precision formats and kernel optimizations to communication frameworks that make training trillion-parameter models stable, scalable, and fast.</p>\n<p>This role is ideal for someone who thrives at the intersection of research and systems engineering: a builder who understands both the math of optimization and the realities of distributed compute.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and optimize distributed training infrastructure for large-scale LLMs, focusing on performance, stability, and reproducibility across multi-GPU and multi-node setups.</li>\n<li>Implement and evaluate low-precision numerics (for example, BF16, MXFP8, NVFP4) to improve efficiency without sacrificing model quality.</li>\n<li>Develop kernels and communication primitives that use hardware-level support for mixed and low-precision arithmetic.</li>\n<li>Collaborate with research teams to co-design model architectures and training recipes that align with emerging numeric formats and stability constraints.</li>\n<li>Prototype and benchmark scaling strategies such as data, tensor, and pipeline parallelism that integrate precision-adaptive computation and quantized communication.</li>\n<li>Contribute to the design of our internal orchestration and monitoring systems to ensure that thousands of distributed experiments can run efficiently and reproducibly.</li>\n<li>Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.</li>\n</ul>\n<p>Skills and Qualifications:</p>\n<p>Minimum qualifications:</p>\n<ul>\n<li>Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.</li>\n<li>Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.</li>\n<li>Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.</li>\n<li>A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.</li>\n<li>Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems.</li>\n</ul>\n<p>Preferred qualifications , we encourage you to apply if you meet some but not all of these:</p>\n<ul>\n<li>Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM.</li>\n<li>Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs.</li>\n<li>Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA.</li>\n<li>Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models.</li>\n<li>Experience training and supporting large-scale AI models.</li>\n<li>Track record of improving research productivity through infrastructure design or process improvements.</li>\n</ul>\n<p>Logistics:</p>\n<ul>\n<li>Location: This role is based in San Francisco, California.</li>\n<li>Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.</li>\n<li>Visa sponsorship: We sponsor visas. While we can&#39;t guarantee success for every candidate or role, if you&#39;re the right fit, we&#39;re committed to working through the visa process together.</li>\n<li>Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.</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_07a3c83e-51e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Thinking Machines Lab","sameAs":"https://thinkingmachines.ai/","logo":"https://logos.yubhub.co/thinkingmachines.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/thinkingmachines/jobs/5013937008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - $475,000 USD","x-skills-required":["Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar","Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures","Thriving in a highly collaborative environment involving many, different cross-functional partners and subject matter experts","Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems","Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM"],"x-skills-preferred":["Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs","Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA","Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models","Experience training and supporting large-scale AI models","Track record of improving research productivity through infrastructure design or process improvements"],"datePosted":"2026-04-18T15:56:14.922Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar, Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures, Thriving in a highly collaborative environment involving many, different cross-functional partners and subject matter experts, Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems, Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM, Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs, Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA, Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models, Experience training and supporting large-scale AI models, Track record of improving research productivity through infrastructure design or process improvements","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":475000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_19c6b9e4-ff6"},"title":"Foundation and generative models for biomolecules","description":"<p>At Inceptive, you will drive forward development that could help billions of people. 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You will also have advanced mathematical and engineering skills, as well as advanced knowledge of engineering design and manufacturing procedures.</p>\n<p>As a Dev Fab Technician, you will be part of a dynamic team that is committed to delivering high-quality products and services. You will have the opportunity to work on exciting projects, develop your skills, and contribute to the growth and success of our organization.</p>\n<p>If you are a motivated and detail-oriented individual with a passion for fabrication and manufacturing, we encourage you to apply for this exciting opportunity.</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_cdc759ae-85d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://anduril.com","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/4951384007","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$37.01-$49 USD","x-skills-required":["welding","metal fabrication","sheet metal fabrication","conventional machining equipment","mechanical aptitude","advanced mathematical and engineering skills","engineering design and manufacturing procedures"],"x-skills-preferred":["water jet/laser cutting","CAD (Solidworks)","AC and DC electrical systems"],"datePosted":"2026-04-18T15:51:02.793Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"welding, metal fabrication, sheet metal fabrication, conventional machining equipment, mechanical aptitude, advanced mathematical and engineering skills, engineering design and manufacturing procedures, water jet/laser cutting, CAD (Solidworks), AC and DC electrical systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c2a8bc1c-4bd"},"title":"Staff Software Engineer (L4)","description":"<p>Join the team as our next Staff Software Engineer in the Enterprise AI Engineering team.</p>\n<p>Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM functions (Finance, HR, Legal, etc.).</p>\n<p>Our platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences.</p>\n<p>We&#39;re building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation.</p>\n<p>This role focuses specifically on transforming how Twilio&#39;s Customer Support organization operates through AI-powered tools and agentic products.</p>\n<p>We are looking for Full-Stack Engineers who view AI as a fundamental shift in the software development lifecycle of engineering products and the delivery of beautiful, engaging user experiences.</p>\n<p>This is an opportunity to deliver innovative software products and solutions across every business function in the company such as Sales, Marketing, GTM, HR, Finance and Legal.</p>\n<p>Joining this team means building production-grade, full-stack AI applications. 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Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows:</p>\n<ul>\n<li>$160,320 - $200,400</li>\n<li>Target Bonus Percentage 15% (When Applicable)</li>\n</ul>\n<p>The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.</p>\n<p>Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That&#39;s why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you&#39;re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn&#39;t what you&#39;re looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. 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We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.</p>\n<p>This is a high impact role that will impact the efficiency of serving through very low precision and sparse models. Additionally, this role will help drive the future Google HW roadmap to support forward looking numerics. 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This includes enterprise-readiness features like authentication, permissions, security, and compliance, as well as tools that improve team collaboration and drive adoption within an organization</li>\n<li>Work directly with customers to understand their needs and iterate on solutions</li>\n<li>Contribute to technical decisions and architecture for the Enterprise platform</li>\n<li>Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality experiences</li>\n<li>Mentor other engineers and raise the bar for engineering excellence</li>\n<li>Ship quickly and iterate based on customer feedback and usage data</li>\n</ul>\n<p><strong>Required skills and experience:</strong></p>\n<ul>\n<li>Strong full stack engineering skills with experience shipping production code</li>\n<li>Experience building B2B or enterprise software products</li>\n<li>Comfort working across the stack - from databases and APIs to frontend frameworks</li>\n<li>Strong product sense and ability to translate customer needs into technical solutions</li>\n<li>Experience with modern web technologies (React, Node.js, TypeScript, or similar)</li>\n<li>Track record of shipping high-impact features and taking ownership of projects</li>\n<li>Excellent communication skills and ability to collaborate with cross-functional teams</li>\n<li>Curiosity and willingness to learn new technologies and domains</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience with enterprise authentication and authorization systems (SSO, SAML, SCIM)</li>\n<li>Experience with AI/LLM integration in applications</li>\n<li>Understanding of developer tools, internal tools, and workflows</li>\n<li>Previous experience in a high-growth startup environment</li>\n<li>Contributions to open-source projects</li>\n</ul>\n<p><strong>Tools + Tech Stack for this role:</strong></p>\n<ul>\n<li>React, TypeScript, CSS, GraphQL, Node.js, and Postgres</li>\n</ul>\n<p><strong>This role may not be a fit if:</strong></p>\n<ul>\n<li>You prefer working exclusively on backend systems without user interaction</li>\n<li>You&#39;re uncomfortable with the pace and changing priorities of a startup environment</li>\n<li>You require highly structured requirements and aren&#39;t comfortable with ambiguity</li>\n</ul>\n<p>_This is a full-time role that is held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday._</p>\n<p><strong>Full-Time Employee Benefits Include:</strong></p>\n<ul>\n<li>Competitive Salary &amp; Equity</li>\n<li>401(k) Program with a 4% match</li>\n<li>Health, Dental, Vision and Life Insurance</li>\n<li>Short Term and Long Term Disability</li>\n<li>Paid Parental, Medical, Caregiver Leave</li>\n<li>Commuter Benefits</li>\n<li>Monthly Wellness Stipend</li>\n<li>Autonomous Work Environment</li>\n<li>In Office Set-Up Reimbursement</li>\n<li>Flexible Time Off (FTO) + Holidays</li>\n<li>Quarterly Team Gatherings</li>\n<li>In Office Amenities</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_2071bb9c-a0f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Replit","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/replit.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/replit/b7f12834-78d2-424d-bf83-0c942815fbf7","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$180K - $250K","x-skills-required":["strong full stack engineering skills","experience building B2B or enterprise software products","comfort working across the stack","strong product sense","experience with modern web technologies"],"x-skills-preferred":["experience with enterprise authentication and authorization systems","experience with AI/LLM integration in applications","understanding of developer tools, internal tools, and workflows"],"datePosted":"2026-03-07T15:18:48.150Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Foster City, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"strong full stack engineering skills, experience building B2B or enterprise software products, comfort working across the stack, strong product sense, experience with modern web technologies, experience with enterprise authentication and authorization systems, experience with AI/LLM integration in applications, understanding of developer tools, internal tools, and workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_01a10ada-f52"},"title":"Technical Lead, Safety Research","description":"<p><strong>Technical Lead, Safety Research</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Safety Systems</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$460K – $555K</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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This will in practice include:</p>\n<ul>\n<li>Setting north star goals and milestones for new research directions, and developing challenging evaluations to track progress.</li>\n</ul>\n<ul>\n<li>Personally driving or leading research in new exploratory directions to demonstrate feasibility and scalability of the approaches.</li>\n</ul>\n<ul>\n<li>Working horizontally across safety research and related teams to ensure different technical approaches work together to achieve strong safety results.</li>\n</ul>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Set the research directions and strategies to make our AI systems safer, more aligned and more robust.</li>\n</ul>\n<ul>\n<li>Coordinate and collaborate with cross-functional teams, including the rest of the research organization, T&amp;S, policy and related alignment teams, to ensure that our AI meets the highest safety standards.</li>\n</ul>\n<ul>\n<li>Actively evaluate and understand the safety of our models and systems, identifying areas of risk and proposing mitigation strategies.</li>\n</ul>\n<ul>\n<li>Conduct state-of-the-art research on AI safety topics such as RLHF, adversarial training, robustness, and more.</li>\n</ul>\n<ul>\n<li>Implement new methods in OpenAI’s core model training and launch safety improvements in OpenAI’s products.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Are excited about OpenAI’s mission of building safe, universally beneficial AGI and are aligned with OpenAI’s charter</li>\n</ul>\n<ul>\n<li>Demonstrate a passion for AI safety and making cutting-edge AI models safer for real-world use.</li>\n</ul>\n<ul>\n<li>Bring 4+ years of experience in the field of AI safety, especially in areas like RLHF, adversarial training, robustness, fairness &amp; biases.</li>\n</ul>\n<ul>\n<li>Hold a Ph.D. or other degree in computer science, machine learning, or a related field.</li>\n</ul>\n<ul>\n<li>Possess experience in safety work for AI model deployment</li>\n</ul>\n<ul>\n<li>Have an in-depth understanding of deep learning research and/or strong engineering skills.</li>\n</ul>\n<ul>\n<li>Are a team player who enjoys collaborative work environments.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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Our work is at the cutting edge of AI research, focusing on developing methodologies that enable AI to robustly follow human intent across a wide range of scenarios, including those that are adversarial or high-stakes. We concentrate on the most pressing challenges, ensuring our work addresses areas where AI could have the most significant consequences. By focusing on risks that we can quantify and where our efforts can make a tangible difference, we aim to ensure that our models are ready for the complex, real-world environments in which they will be deployed.</p>\n<p>The two pillars of our approach are: (1) harnessing improved capabilities into alignment, making sure that our alignment techniques improve, rather than break, as capabilities grow, and (2) centering humans by developing mechanisms and interfaces that enable humans to both express their intent and to effectively supervise and control AIs, even in highly complex situations.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Research Engineer / Research Scientist on the Alignment team, you will be at the forefront of ensuring that our AI systems consistently follow human intent, even in complex and unpredictable scenarios. Your role will involve designing and implementing scalable solutions that ensure the alignment of AI as their capabilities grow and that integrate human oversight into AI decision-making.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<p>We are seeking research engineers and research scientists to help design and implement experiments for alignment research. Responsibilities may include:</p>\n<ul>\n<li>Develop and evaluate alignment capabilities that are subjective, context-dependent, and hard to measure.</li>\n<li>Design evaluations to reliably measure risks and alignment with human intent and values.</li>\n<li>Build tools and evaluations to study and test model robustness in different situations.</li>\n<li>Design experiments to understand laws for how alignment scales as a function of compute, data, lengths of context and action, as well as resources of adversaries.</li>\n<li>Design and evaluate new Human-AI-interaction paradigms and scalable oversight methods that redefine how humans interact with, understand, and supervise our models.</li>\n<li>Train model to be calibrated on correctness and risk.</li>\n<li>Designing novel approaches for using AI in alignment research</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Are a team player – willing to do a variety of tasks that move the team forward.</li>\n<li>Have a PhD or equivalent experience in research in computer science, computational science, data science, cognitive science, or similar fields.</li>\n<li>Have strong engineering skills, particularly in designing and optimizing large-scale machine learning systems(e.g., PyTorch).</li>\n<li>Have a deep understanding of the science behind alignment algorithms and techniques.</li>\n<li>Can develop data visualization or data collection interfaces (e.g., TypeScript, Python).</li>\n<li>Enjoy fast-paced, collaborative, and cutting-edge research environments.</li>\n<li>Want to focus on developing AI models that are trustworthy, safe, and reliable, especially in high-stakes scenarios.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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