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You will focus on one of three high-impact tracks:</p>\n<p><strong>Track 1: AI Platform Projects</strong></p>\n<ul>\n<li>Pioneer next-generation AI tooling to enhance the efficiency, cost, and usability of ML@Roblox.</li>\n<li>Build and maintain core platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes.</li>\n<li>Design great developer experiences (paved-road templates, tooling, visualizations) to reduce time-to-production and ensure foundational AI systems are scalable and reliable.</li>\n</ul>\n<p><strong>Track 2: Distributed Inference &amp; Systems Optimization</strong></p>\n<ul>\n<li>Architect and implement scalable distributed inference systems for efficiently serving LLMs and Large Recommender Models at massive scale.</li>\n<li>Conduct deep, low-level performance analysis and optimize ML models (using techniques like continuous batching, speculative decoding, and quantization) and systems on GPU architectures to maintain peak performance and stability.</li>\n</ul>\n<p><strong>Track 3: Information Retrieval &amp; RAG for Gen AI</strong></p>\n<ul>\n<li>Lead the design and development of Retrieval-Augmented Generation (RAG) systems.</li>\n<li>Build and maintain core information retrieval infrastructure—vector databases and knowledge graphs—to enable accurate grounding of Gen AI models.</li>\n<li>Ship language models and 3D objects as a service for the Roblox community, making creation easier.</li>\n</ul>\n<p><strong>You Have</strong></p>\n<ul>\n<li>Possessing or pursuing a Ph.D. in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field, with a thesis aligned to Roblox’s research areas.</li>\n<li>Experience with high performance distributed systems, ML Infrastructure, LLM fine tuning/RL, Information Retrieval and Gen AI context generation.</li>\n<li>Expertise in one or more of the following key areas:</li>\n<li>AI/ML Platform Data stores - Features stores, Vector DBs and Knowledge Graphs.</li>\n<li>LLMs - Fine tuning, Safety.</li>\n<li>Agentic systems - Agent evaluation, context engineering.</li>\n</ul>\n<ul>\n<li>Experience building agentic applications with context for real world applications.</li>\n<li>Collaborative mindset and experience integrating and deploying optimized models with cross-functional teams, including data scientists and software engineers.</li>\n<li>Experience with graph databases and large-scale GNNs (Graph Neural Networks)</li>\n<li>Experience working with Kubernetes</li>\n<li>Experience working with one or more cloud providers (e.g., AWS, Azure, GCP)</li>\n<li>Experience working with high availability systems</li>\n<li>Experience working with ML models, LLMs or other AI systems</li>\n</ul>\n<p>You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.</p>\n<p>As you apply, you can find more information about our process by signing up for Speak\\_. 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We support experimentation and production with top researchers, engineers, faculty, and PhD candidates globally that can lead to publications at esteemed venues.</p>\n<p><strong><strong>Teams Hiring For This Role:</strong></strong></p>\n<ul>\n<li><strong>Discovery:</strong> Build recommender and search systems, connecting millions of experiences to users via generative modeling, LLMs, and multimodal content understanding.</li>\n</ul>\n<ul>\n<li><strong>Economy:</strong> Expand the ML backbone powering monetization, marketplace, and payments, solving problems related to fraud, pricing, and personalization</li>\n</ul>\n<ul>\n<li><strong>Ads &amp; Brands:</strong> Evolve the intersection of recommendation systems, ranking, and marketplace/auction theory to optimize sponsored content delivery</li>\n</ul>\n<ul>\n<li><strong>Safety:</strong> Create scalable AI for real-time safety &amp; moderation using LLMs, NLP, and computer vision to safeguard text, voice, and accounts.</li>\n</ul>\n<ul>\n<li><strong>Engine:</strong> Develop innovative technology for our immersive 3D graphics, advancing geometry, physics simulation, motion diffusion models, and scalable distributed systems</li>\n</ul>\n<ul>\n<li><strong>Creator:</strong> Empower creators with generative AI and NLP technologies, building intuitive tools for automated content understanding and real-time localization</li>\n</ul>\n<ul>\n<li><strong>Foundational AI</strong>: Design and train 3D foundational models and optimize large-scale inference systems, enabling intelligent 3D content generation.</li>\n</ul>\n<ul>\n<li><strong>Infrastructure:</strong> Build systems that ensure the reliability and scalability of Roblox’s datacenter, backbone, and edge networks, which support all of our production services.</li>\n</ul>\n<p><strong><strong>You Will</strong></strong></p>\n<ul>\n<li>Prototype and experiment with advanced AI, machine learning, and 3D technologies to solve real-world challenges at scale</li>\n</ul>\n<ul>\n<li>Translate cutting-edge research into production-ready features by working alongside world class engineering and product teams</li>\n</ul>\n<ul>\n<li>Develop and deliver solutions that enhance user experience, safety, and creativity on a global platform</li>\n</ul>\n<p><strong><strong>You Have</strong></strong></p>\n<ul>\n<li>Possessing or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas.</li>\n</ul>\n<ul>\n<li>Deep expertise in a relevant technical domain such as deep learning, computer vision, NLP, reinforcement learning, or distributed systems.</li>\n</ul>\n<ul>\n<li>Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems.</li>\n</ul>\n<ul>\n<li>A strong research track record, evidenced by multiple publications and presentations in top-tier, peer-reviewed venues.</li>\n</ul>\n<p>You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.</p>\n<p>For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. 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Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.</p>\n<p>A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</p>\n<p>At Roblox, computer vision and graphics power the way our global community discovers, creates, and interacts on our virtual platform. This role involves building cutting-edge models to interpret and analyze every form of content—experiences, text, images, videos, and 3D avatars. Your work will directly influence core systems that drive the next generation of creation, search, recommendations, and trust &amp; safety initiatives across our massive ecosystem.</p>\n<p>We’re looking for PhD candidates passionate about the intersection of computer vision, graphics, and generative modeling. You’ll work on applied research and engineering projects with direct production impact — enabling new ways for creators and players to bring ideas to life.</p>\n<p><strong>Teams Hiring for This Role</strong></p>\n<ul>\n<li><strong>Content Understanding:</strong> Develop large-scale computer vision and multimodal models that classify, organize, and recommend 3D and visual content to improve user discovery, personalization, and safety.</li>\n</ul>\n<ul>\n<li><strong>Account Identity</strong> : focuses on various aspects of user Identity from bot detection, alternate account detection graph, to age estimation based on behavioral and facial features.</li>\n</ul>\n<p><strong>You Will:</strong></p>\n<ul>\n<li>Lead the research and development of deep learning models for visual content understanding and 3D content generation (image/video/3D scenes, avatars, and assets).</li>\n</ul>\n<ul>\n<li>Design and implement foundation models for visual and 3D-based creation, search, and recommendations, ensuring a high level of fidelity, relevance, and ranking.</li>\n</ul>\n<ul>\n<li>Break down complex product requirements into iterative deliverable stages, moving applied research into high-scale production systems.</li>\n</ul>\n<ul>\n<li>Implement innovative visual and multi-modal models that power core Roblox functions (e.g., world creation, avatar systems, search, and recommendations).</li>\n</ul>\n<ul>\n<li>Build high precision facial age estimation across demographics from ground up including various fraud detection techniques for a robust and safe user identity system.</li>\n</ul>\n<p><strong>You Have:</strong></p>\n<ul>\n<li>Possessing or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas.</li>\n</ul>\n<ul>\n<li>Expertise in one or more areas: computer vision, multimodal learning, 3D Graphics, or large-scale representation learning.</li>\n</ul>\n<ul>\n<li>Experience developing and training deep learning models using modern frameworks (PyTorch, TensorFlow, JAX).</li>\n</ul>\n<ul>\n<li>A strong research track record, evidenced by multiple publications and presentations in top-tier, peer-reviewed venues.</li>\n</ul>\n<ul>\n<li>Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems.</li>\n</ul>\n<p>You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.</p>\n<p>As you apply, you can find more information about our process by signing up for Speak\\_. You&#39;ll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process.</p>\n<p>For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. 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Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.</p>\n<p>A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</p>\n<p>Natural Language Processing (NLP) is central to enabling massive-scale communication, creation, and safety across the Roblox platform. This role offers the unique opportunity to build and deploy cutting-edge <strong>NLP, speech, and generative AI models</strong> that operate at an unprecedented scale, impacting hundreds of millions of daily users.</p>\n<p>You will solve an extremely diverse range of high-scale language-related problems—from <strong>real-time moderation of voice and text</strong> to <strong>automatically localizing experiences</strong> and empowering users through <strong>LLM-driven creation tools</strong>. We combine cutting-edge research with large-scale engineering to bridge experimentation and production, designing algorithms that shape the next generation of language services for our immersive, user-generated content platform.</p>\n<p><strong><strong>Teams Hiring for This Role</strong></strong></p>\n<ul>\n<li><strong>Safety AI Systems:</strong>Dedicated to building end-to-end ML systems for maintaining civility and safety across the platform, operating at massive scale. This includes:</li>\n</ul>\n<ul>\n<li><strong>Real-time Moderation:</strong> Building world-class NLP and speech models for <strong>real-time moderation of voice and text</strong> (processing over 6 billion messages daily) and advanced interventions that measurably improve user civility.</li>\n</ul>\n<ul>\n<li><strong>Critical Harms &amp; Advanced Detection:</strong> Developing specialized LLM agents, behavioral analysis, and graph systems for detecting and preventing rare, high-risk scenarios (e.g., child safety, terrorism), requiring adversarial thinking and multi-step reasoning.</li>\n</ul>\n<ul>\n<li><strong>Safety Data Quality:</strong> Ensuring all Safety AI systems are robust by managing the core data infrastructure, MLOps, and Active Learning initiatives for continuous model improvement.</li>\n</ul>\n<p><strong>You Will</strong></p>\n<ul>\n<li>Design and implement <strong>deep learning-based NLP and speech solutions</strong> that address problems across Roblox, from creation to safety.</li>\n</ul>\n<ul>\n<li>Develop advanced models, including <strong>Large Language Models (LLMs), machine translation, and generative AI</strong>, for user interactions, content creation, and moderation.</li>\n</ul>\n<ul>\n<li>Have the independence and <strong>end-to-end responsibility</strong> to develop NLP/ML-based services that are scalable and resilient.</li>\n</ul>\n<ul>\n<li>Be a <strong>technical bar-raiser</strong> for cutting-edge ML technology, high code quality, and architectural designs.</li>\n</ul>\n<ul>\n<li>Work backward from user and product needs to deliver ML solutions that drive engagement, safety, and ecosystem growth.</li>\n</ul>\n<p><strong>You Have</strong></p>\n<ul>\n<li>Possessing or pursuing a Ph.D. in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field, with a thesis aligned to Roblox’s research areas.</li>\n</ul>\n<ul>\n<li>Expertise in one or more areas: NLP, Speech Models, Large Language Models, Machine Translation, or Generative AI (including diffusion models).</li>\n</ul>\n<ul>\n<li>Experience with transformer-based model design, training, serving, and product integration.</li>\n</ul>\n<ul>\n<li>A strong research track record, evidenced by multiple publications and presentations in top-tier, peer-reviewed venues (e.g., ACL, EMNLP, Interspeech, ICML, NeurIPS).</li>\n</ul>\n<ul>\n<li>Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems.</li>\n</ul>\n<p>You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.</p>\n<p>As you apply, you can find more information about our process by signing up for Speak\\_. You&#39;ll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process.</p>\n<p>For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on <strong>this page</strong>.</p>\n<p>Annual Salary Range</p>\n<p>$195,780—$242,100 USD</p>\n<p>Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).</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_601ca6bf-9b1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Roblox","sameAs":"https://careers.roblox.com","logo":"https://logos.yubhub.co/careers.roblox.com.png"},"x-apply-url":"https://careers.roblox.com/jobs/7324377","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$195,780—$242,100 USD","x-skills-required":["NLP","Speech Models","Large Language Models","Machine Translation","Generative AI","Python","C++","Go","Java","Transformer-based model design","Training","Serving","Product integration"],"x-skills-preferred":["Deep learning","Computer vision","Natural language processing","Speech recognition","Text analysis","Sentiment analysis","Named entity recognition","Part-of-speech tagging","Dependency parsing","Semantic role labeling"],"datePosted":"2026-03-06T14:18:50.958Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"NLP, Speech Models, Large Language Models, Machine Translation, Generative AI, Python, C++, Go, Java, Transformer-based model design, Training, Serving, Product integration, Deep learning, Computer vision, Natural language processing, Speech recognition, Text analysis, Sentiment analysis, Named entity recognition, Part-of-speech tagging, Dependency parsing, Semantic role labeling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":195780,"maxValue":242100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c9a056a8-13c"},"title":"Senior Machine Learning Engineer, Engine Optimization - PhD Early Career","description":"<p><strong>Job Posting</strong></p>\n<p><strong>[2026] Senior Machine Learning Engineer, Engine Optimization - PhD Early Career</strong></p>\n<p>San Mateo, CA, United StatesEarly CareerID: 5626</p>\n<p>Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.</p>\n<p>At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.</p>\n<p>A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</p>\n<p>Our engine’s resource management and streaming systems are critical to delivering a smooth, stable, and responsive experience for Roblox users across a huge range of devices and network conditions. These systems work together to intelligently allocate compute, memory, bandwidth, and rendering quality while dynamically delivering world content in real time as players move, explore, and interact. The challenges span highly dynamic environments, unpredictable user behavior, and opaque signals from device and OS constraints.</p>\n<p>This role offers a rare opportunity to pioneer the application of machine learning in real-time engine optimization. You will establish the ML framework for predictive resource allocation and content fetching, replacing heuristic-based logic with adaptive, data-driven decision-making. Your work will directly shape stability, visual quality, responsiveness, and content delivery across billions of global play sessions.</p>\n<p><strong>You Will</strong></p>\n<ul>\n<li>Analyze massive-scale engine performance, streaming patterns, and user behavior telemetry to uncover optimization opportunities and guide the long-term ML roadmap.</li>\n<li>Design ML models that infer player and interaction patterns for predictive resource management and content delivery.</li>\n<li>Build adaptive control systems that translate ML outputs into real-time adjustments of fidelity and system decisions, ensuring high-quality experiences without compromising stability or latency.</li>\n<li>Collaborate with core engine and performance engineering teams to integrate ML solutions directly into the critical path of gameplay across multiple platforms.</li>\n<li>Define the architectural strategy for deploying and scaling ML across resource management and streaming components at massive global scale.</li>\n</ul>\n<p><strong>You Have</strong></p>\n<ul>\n<li>Strong expertise in applied ML—such as reinforcement learning for control, predictive modeling (especially time-series and intent inference), trajectory prediction, or real-time optimization.</li>\n<li>Proficiency in C++, Python, Go, Java, or similar languages, with experience deploying ML models in performance-critical systems.</li>\n<li>A solid understanding of systems-level concepts (memory management, threading, OS signals) or a deep interest in learning them.</li>\n<li>A track record of solving complex optimization problems or integrating ML into real-time systems, ideally in gaming, simulation, robotics, or mobile environments</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>As a full-time employee at Roblox, you will be eligible for equity compensation and benefits as described on <strong>this page</strong>.</p>\n<p><strong>Salary</strong></p>\n<p>The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future.</p>\n<p>Annual Salary Range</p>\n<p>$195,780—$242,100 USD</p>\n<p><strong>Work Schedule</strong></p>\n<p>Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).</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_c9a056a8-13c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Roblox","sameAs":"https://careers.roblox.com","logo":"https://logos.yubhub.co/careers.roblox.com.png"},"x-apply-url":"https://careers.roblox.com/jobs/7421746","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$195,780—$242,100 USD","x-skills-required":["applied ML","reinforcement learning","predictive modeling","trajectory prediction","real-time optimization","C++","Python","Go","Java","memory management","threading","OS signals"],"x-skills-preferred":["systems-level concepts","performance-critical systems","gaming","simulation","robotics","mobile environments"],"datePosted":"2026-03-06T14:18:36.559Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"applied ML, reinforcement learning, predictive modeling, trajectory prediction, real-time optimization, C++, Python, Go, Java, memory management, threading, OS signals, systems-level concepts, performance-critical systems, gaming, simulation, robotics, mobile environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":195780,"maxValue":242100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1875654e-29d"},"title":"Data Scientist, Foundation AI - PhD Early Career","description":"<p><strong>[2026] Data Scientist, Foundation AI - PhD Early Career</strong></p>\n<p>San Mateo, CA, United States</p>\n<p>Early Career</p>\n<p>ID: 5825</p>\n<p>Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.</p>\n<p>At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.</p>\n<p>We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.</p>\n<p>A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</p>\n<p><strong>WHY DATA SCIENCE &amp; ANALYTICS?</strong></p>\n<p>The Data Science &amp; Analytics organization&#39;s mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers.</p>\n<p><strong>WHY GENERATIVE AI?</strong></p>\n<p>Our team’s mission is to enable Roblox Creators to bring GenAI capabilities to millions of users. We drive this innovation with a core commitment to safety, responsibility, and quality.</p>\n<p>As a Data Scientist, you will play a critical role in evaluation and optimization for user-facing GenAI systems (such as text, image, video, 3D, 4D). You will define how we measure safety, responsibility, quality, and efficiency. You will combine annotation analysis, design of experiments, causal inference, model-based evaluation methods (such as LLM-as-a-judge), optimization algorithm, and AI models to drive product decisions and model improvements.</p>\n<p><strong>You Will:</strong></p>\n<ul>\n<li>Develop Evaluation Frameworks: Design and operationalize rigorous evaluation systems for either GenAI features (text, image, video, 3D, 4D). This includes eval experiment design, dataset design, label reliability analysis, and implementing and finetuning LLM-as-judge methods.</li>\n</ul>\n<ul>\n<li>Run Rigorous Experiments: Conduct online experiments (A/B tests) and causal inference to quantify the impact of GenAI features. You will identify opportunities, measure lift, and ensure statistical rigor.</li>\n</ul>\n<ul>\n<li>Define Success Metrics: Partner with cross-functional teams to define leading/lagging indicators for GenAI feature user satisfaction, business success, and safety.</li>\n</ul>\n<ul>\n<li>Build Automated Systems: Research and apply state-of-the-art methodologies to build reproducible evaluation tooling that lift rigor and efficiency across the company.</li>\n</ul>\n<ul>\n<li>Conduct Applied Research at the Frontier: Maintain an active pulse on the intersection of Gen AI and Data Science. You will innovate on methodology and techniques to solve unique business challenges while contributing to the broader field in the technical community.</li>\n</ul>\n<p><strong>You Have:</strong></p>\n<ul>\n<li>Possess or pursuing a PhD or equivalent in Statistics, Economics, Computer Science, Applied Math, Physics, Engineering, or a related quantitative field.</li>\n</ul>\n<ul>\n<li>Technical Proficiency: Strong proficiency in SQL (Hive/Spark) for manipulating large datasets and scripting languages (Python or R) for analysis and modeling.</li>\n</ul>\n<ul>\n<li>Experimentation and Causal Inference: A solid grounding in experimentation, causal inference, and statistical analysis, including test design and metric design for feature impact.</li>\n</ul>\n<ul>\n<li>Problem Solving: A demonstrated track record of framing ambiguous problems, designing analytical approaches, and solving open-ended data science problems that drive business impact.</li>\n</ul>\n<ul>\n<li>Learning Agility: Ability to effectively and responsibly use AI tools to enhance productivity and a passion for continuously improving methods in a fast-evolving field.</li>\n</ul>\n<ul>\n<li>GenAI Familiarity: Familiarity with GenAI models and safety/quality evaluation methods. Expertise in the model training lifecycle is a plus (e.g., fine-tuning, RLHF, or synthetic data generation).</li>\n</ul>\n<ul>\n<li>Applied Research Background: A track record of applied research or publications in relevant technical fields is highly valued.</li>\n</ul>\n<p>You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.</p>\n<p>For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on <strong>this page</strong>.</p>\n<p>Annual Salary Range</p>\n<p>$185,860—$221,380 USD</p>\n<p>Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).</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_1875654e-29d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Roblox","sameAs":"https://careers.roblox.com","logo":"https://logos.yubhub.co/careers.roblox.com.png"},"x-apply-url":"https://careers.roblox.com/jobs/7577436","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$185,860—$221,380 USD","x-skills-required":["SQL","Hive/Spark","Python","R","Statistics","Economics","Computer Science","Applied Math","Physics","Engineering","Experimentation","Causal Inference","Statistical Analysis","Test Design","Metric Design","Feature Impact","Problem Solving","Learning Agility","AI Tools","GenAI Models","Safety/Quality Evaluation Methods","Model Training Lifecycle"],"x-skills-preferred":["GenAI Familiarity","Applied Research Background","Publications in Relevant Technical Fields"],"datePosted":"2026-03-06T14:18:26.174Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Hive/Spark, Python, R, Statistics, Economics, Computer Science, Applied Math, Physics, Engineering, Experimentation, Causal Inference, Statistical Analysis, Test Design, Metric Design, Feature Impact, Problem Solving, Learning Agility, AI Tools, GenAI Models, Safety/Quality Evaluation Methods, Model Training Lifecycle, GenAI Familiarity, Applied Research Background, Publications in Relevant Technical Fields","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":185860,"maxValue":221380,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5276e91e-221"},"title":"Senior Machine Learning Engineer, Recommendation Systems - PhD Early Career","description":"<p><strong>[2026] Senior Machine Learning Engineer, Recommendation Systems - PhD Early Career</strong></p>\n<p>San Mateo, CA, United States</p>\n<p>Early Career</p>\n<p>ID: 5471</p>\n<p>Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.</p>\n<p>At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.</p>\n<p>We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.</p>\n<p>A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</p>\n<p>Recommendation Systems are a key growth lever at Roblox, driving retention, engagement, and monetization for hundreds of millions of users. This role offers the unique opportunity to redefine how users search and discover everything from the most interesting immersive experiences and digital avatars in our Marketplace to personalized advertising. You will solve a diverse range of high-scale ranking, retrieval, and personalization problems across our platform.</p>\n<p>We combine cutting-edge research —including deep learning, generative AI, and reinforcement learning techniques— with large-scale engineering to bridge experimentation and production; you&#39;ll design algorithms that operate at massive scale and shape the next generation of recommender systems for user-generated content.</p>\n<p><strong>Teams Hiring for This Role</strong></p>\n<ul>\n<li><strong>Search:</strong> powers major recommendation surfaces—drives user engagement by redesigning core surfaces and search/homepage ranking</li>\n</ul>\n<ul>\n<li><strong>Notifications:</strong> owns the distributed systems and ML platform that transform billions of Roblox signals into high‑value notifications for hundreds of millions of players.</li>\n</ul>\n<ul>\n<li><strong>Economy:</strong> builds the ML backbone for marketplace, monetization, and commerce (including fraud, pricing, and bundling)</li>\n</ul>\n<ul>\n<li><strong>Ads &amp; Brands:</strong> focuses on ranking, retrieval, and marketplace/auction theory to optimize sponsored content delivery.</li>\n</ul>\n<ul>\n<li><strong>Safety, Alt Defense:</strong> architects a massive-scale detection engine that identifies recidivist bad actors across billions of accounts to ensure the long-term integrity of the Roblox community.</li>\n</ul>\n<p><strong>You Will</strong></p>\n<ul>\n<li>Design and implement large-scale recommendation systems that power discovery across Roblox’s surfaces — experiences, avatars, and creator content.</li>\n</ul>\n<ul>\n<li>Develop deep learning models for ranking, retrieval, and personalization using approaches in multimodal models, LLMs, and generative AI.</li>\n</ul>\n<ul>\n<li>Collaborate with applied researchers, engineers, and product teams to advance experimentation and accelerate innovation.</li>\n</ul>\n<ul>\n<li>Translate research into production systems that impact hundreds of millions of daily active users.</li>\n</ul>\n<ul>\n<li>Work backward from user and product needs to deliver ML solutions that drive engagement, retention, and ecosystem growth.</li>\n</ul>\n<p><strong>You Have</strong></p>\n<ul>\n<li>Possessing or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas.</li>\n</ul>\n<ul>\n<li>Expertise in one or more areas: recommender systems, search systems, information retrieval, or generative models (e.g., LLMs, VLMs, VLAs)</li>\n</ul>\n<ul>\n<li>Ability to design and architect systems for efficient personalization and user interest modeling using advanced attention mechanisms (e.g., sparse/linear attention).</li>\n</ul>\n<ul>\n<li>A strong research track record, evidenced by multiple publications and presentations in top-tier, peer-reviewed venues (e.g., SIGIR, KDD, RecSys, ICLR, ICML, NeurIPS)</li>\n</ul>\n<ul>\n<li>Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems.</li>\n</ul>\n<p>You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.</p>\n<p>As you apply, you can find more information about our process by signing up for Speak\\_. You&#39;ll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process.</p>\n<p>For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on <strong>this page</strong>.</p>\n<p>Annual Salary Range</p>\n<p>$195,780—$242,100 USD</p>\n<p>Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).</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_5276e91e-221","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Roblox","sameAs":"https://careers.roblox.com","logo":"https://logos.yubhub.co/careers.roblox.com.png"},"x-apply-url":"https://careers.roblox.com/jobs/7350081","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$195,780—$242,100 USD","x-skills-required":["recommender systems","search systems","information retrieval","generative models","deep learning","generative AI","reinforcement learning","multimodal models","LLMs","VLMs","VLAs","Python","C++","Go","Java"],"x-skills-preferred":["sparse/linear attention","top-tier, peer-reviewed venues","SIGIR","KDD","RecSys","ICLR","ICML","NeurIPS"],"datePosted":"2026-03-06T14:17:16.772Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"recommender systems, search systems, information retrieval, generative models, deep learning, generative AI, reinforcement learning, multimodal models, LLMs, VLMs, VLAs, Python, C++, Go, Java, sparse/linear attention, top-tier, peer-reviewed venues, SIGIR, KDD, RecSys, ICLR, ICML, NeurIPS","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":195780,"maxValue":242100,"unitText":"YEAR"}}}]}