{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/technical-ownership"},"x-facet":{"type":"skill","slug":"technical-ownership","display":"Technical Ownership","count":2},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b5023ab2-eae"},"title":"TL, Research Inference","description":"<p><strong>Compensation</strong></p>\n<p>$380K – $555K • Offers Equity</p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Foundations team focuses on how model behavior changes as we scale models, data, and compute. The team studies the interactions between model architecture, optimization, and training data, and uses those insights to guide how new models are designed and trained.</p>\n<p><strong>About the Role</strong></p>\n<p>In this role, you will build the systems that enable advanced AI models to run efficiently at scale. You will operate at the intersection of model research and systems engineering, translating new architectural ideas into high-performance inference systems that surface real tradeoffs in performance, memory, and scalability.</p>\n<p>Your work will directly influence how models are designed, evaluated, and iterated on across the research organization. By developing and evolving high-performance inference infrastructure, you will enable researchers to explore new ideas with a clear understanding of their computational and systems implications.</p>\n<p>This is not a product-serving role. Instead, it is a research-enabling systems role focused on performance, correctness, and realism - ensuring that AI research is grounded in what can actually scale.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design and build high-performance inference runtimes for large-scale AI models, with a focus on efficiency, reliability, and scalability.</li>\n</ul>\n<ul>\n<li>Own and optimize core execution paths, including model execution, memory management, batching, and scheduling.</li>\n</ul>\n<ul>\n<li>Develop and improve distributed inference across multiple GPUs, including parallelism strategies, communication patterns, and runtime coordination.</li>\n</ul>\n<ul>\n<li>Implement and optimize inference-critical operators and kernels informed by real-world workloads.</li>\n</ul>\n<ul>\n<li>Partner closely with research teams to ensure new model architectures are supported accurately and efficiently in inference systems.</li>\n</ul>\n<ul>\n<li>Diagnose and resolve performance bottlenecks through profiling, benchmarking, and low-level debugging.</li>\n</ul>\n<ul>\n<li>Contribute to observability, correctness, and reliability of large-scale AI systems.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have experience building production inference systems, not just training or running models.</li>\n</ul>\n<ul>\n<li>Are comfortable with GPU-centric performance engineering, including memory behavior and latency/throughput tradeoffs.</li>\n</ul>\n<ul>\n<li>Have worked on multi-GPU or distributed systems involving batching, scheduling, or runtime coordination.</li>\n</ul>\n<ul>\n<li>Can reason end-to-end about inference pipelines, from request handling through execution and output streaming.</li>\n</ul>\n<ul>\n<li>Are able to understand research ideas and implement them within real system and performance constraints.</li>\n</ul>\n<ul>\n<li>Enjoy solving hard, ambiguous systems problems that only emerge at scale.</li>\n</ul>\n<ul>\n<li>Prefer hands-on technical ownership and execution over abstract design work.</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. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures 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The Monetize engineering team builds the sell-side platform (SSP) and curation tools that serve first-party ads across all Microsoft properties and for major third-party publishers worldwide.</p>\n<p>We’re hiring a Senior Software Engineer to own backend services handling millions of API requests per day, drive a major Azure Kubernetes migration, and deliver full-stack features that our users depend on daily.</p>\n<p><strong>What you’ll work on:</strong></p>\n<ul>\n<li>Designing and building backend services in C#/.NET on Azure (AKS, Functions, Cosmos DB, SQL).</li>\n<li>Driving a large-scale infrastructure migrations.</li>\n<li>Full-stack feature delivery across APIs and frontends , UIs, APIs, and tools for business-critical workflows.</li>\n<li>Live-site engineering , owning production health, incident response, and observability.</li>\n<li>Building new applications from scratch as the platform expands into new areas.</li>\n<li>Opportunities to work on AI-powered product features including Copilot experiences and LLM integrations as the platform evolves.</li>\n</ul>\n<p><strong>Who we’re looking for:</strong></p>\n<ul>\n<li>You use AI-powered development workflows (Copilot, LLM-assisted coding, agentic tools) as a daily force multiplier , not as a novelty, but as a core part of how you ship software faster and better.</li>\n<li>You’re always experimenting with new tools to raise your own bar and help your teammates do the same.</li>\n</ul>\n<p><strong>Why this team:</strong></p>\n<ul>\n<li>A tenured, tight-knit team of 9 engineers where retention speaks for itself , people stay because the work matters and the team is genuinely great.</li>\n<li>High-impact, high-autonomy work: you own features end-to-end from design through production.</li>\n<li>Clear path to Principal and beyond , significant opportunities for technical ownership and scope growth.</li>\n<li>The platform is evolving fast , you’ll shape what it becomes, not just maintain what exists.</li>\n</ul>\n<p><strong>About the role:</strong></p>\n<p>Improves artificial intelligence tools and practices across the software development lifecycle. Partners with internal stakeholders to determine customer/user requirements for scenarios. Leads discussions for architecture of complex products ensuring test strategies for solution quality. Mentors in identifying dependencies and producing extensible code across teams. Leads debugging efforts and application of coding patterns to improve code quality. Develops automation for production deployment targeting zero-touch when possible. Ensures visibility for compliance through audit trails and maintains understanding of regulations. Advocates new trends to adapt them to current problems and shares knowledge with peers. Supports collaboration with partner teams, ensuring proper integration before going live.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>AI-Native Development: Improves artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC).</li>\n<li>Proactively takes responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting other members of the team to do the same.</li>\n<li>Incorporates Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets.</li>\n<li>Applies SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI.</li>\n<li>Experiments with AI tools and practices to improve their own capabilities, and provides recommendations on how to adopt them to other members of the team.</li>\n<li>Coding: Leads by example across teams and mentors others to produce extensible, maintainable, well-tested, secure, and performant code used across products that adheres to design specifications.</li>\n<li>Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs.</li>\n<li>Identifies best practices and coding patterns and provides deep expertise in the coding and validation strategy.</li>\n<li>Creates and applies metrics to drive code quality and stability.</li>\n<li>Identifies and anticipates blockers or unknowns during the development process, escalates them, communicates how they will impact timelines, and then leads efforts to identify and implement strategies to address them.</li>\n<li>Leads efforts on using debugging tools, tests, logs, telemetry, and other methods, and proactively leads verification of assumptions while developing code before issues occur across products in production.</li>\n<li>Leverages minimal telemetry data, triangulates issues, and resolves with minimal iterations.</li>\n<li>Leads incident retrospectives to identify root causes of problems, the implementation of repair actions, and the identification of mechanisms to prevent incident recurrence.</li>\n<li>Reviews product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area.</li>\n<li>Design: Owns and leads efforts and discussions for the architecture of aspects of complex products/solutions.</li>\n<li>Leads the testing and exploration of various design options across a set of complex product/solution scenarios, ensuring the strengths and weaknesses of each option are outlined and making recommendations for which design option is best.</li>\n<li>Creates proposals for architecture and design documents, and leads testing of hypotheses and proposed complex solutions.</li>\n<li>Leads the development of design documents that support user stories and other product requirements.</li>\n<li>Evaluates new technologies to solve classes of problems, and determines how to integrate these technologies within existing systems.</li>\n<li>Leads efforts to ensure system architecture and individual designs meet performance, scalability, resiliency, disaster recovery, and cost requirements.</li>\n</ul>\n<p><strong>Experience Level:</strong> senior <strong>Employment Type:</strong> full-time <strong>Workplace Type:</strong> hybrid <strong>Category:</strong> Engineering <strong>Industry:</strong> Technology <strong>Salary Range:</strong> Not stated <strong>Salary Min:</strong> 0 <strong>Salary Max:</strong> 0 <strong>Salary Currency:</strong> USD <strong>Salary Period:</strong> year <strong>Required Skills:</strong> C#, .NET, Azure, AKS, Functions, Cosmos DB, SQL, AI, machine learning, software development lifecycle, architecture, design, coding, debugging, testing, logging, telemetry, incident management, root cause analysis, problem-solving, communication, collaboration, leadership <strong>Preferred Skills:</strong> AI-powered development workflows, Copilot, LLM-assisted coding, agentic tools, experimentation, innovation, technical ownership, scope growth, platform evolution</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_42dd8309-d76","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/software-engineering-ic4-6/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C#",".NET","Azure","AKS","Functions","Cosmos DB","SQL","AI","machine learning","software development 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