We're seeking a Senior Machine Learning Engineer to join our Content Suitability team. As a senior member of the team, you will be responsible for managing the end-to-end lifecycle of key large-scale ML models with billions of parameters,from initial data exploration and training to production deployment, monitoring, and ongoing optimization.
\nYou will work on implementing machine learning solutions for safety-related systems, help foster a culture of technical excellence and inclusivity, break down long-term product requirements into iterative deliverable stages, and collaborate with backend and ML engineers, and cross-functional teams to ensure deployment of models at a massive scale.
\nYou will possess or be pursuing a PhD or equivalent in Computer Science, Computer Engineering, Mathematics or a related field with solid fundamentals in one or more of the following: Computer Vision, Large Language Models (LLMs) and Deep Learning.
\nYou will have familiarity with large-scale content understanding problems (e.g., text, image, video classification), experience with cloud-based ML platforms and infrastructure, and strong coding skills with proficiency in one or more programming languages and experience with building large-scale systems.
","enriched_at":1777036653311},{"id":"job_54d776eb-fa0","title":"Senior Machine Learning Engineer, Account Identity - PhD Early Career","source_url":"https://careers.roblox.com/jobs/7473686","location":"San Mateo","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences. 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.
\nThe Safety organisation's mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic accounts, content and behaviour, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters.
\nAs a Senior Machine Learning Engineer within the Account Identity team, you will be instrumental in developing our in-house Facial Age Estimation product and centralising age assurance controls. If you are passionate about solving complex, high-impact problems in an adversarial landscape, this is the team for you.
\nResponsibilities:
\nRequirements:
\nPreferred Qualities:
\nSan Mateo, CA, United States
\nEvery 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.
\nAt 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.
\nA 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.
\nAs a Senior Machine Learning Engineer on the AI Platform team, you will be a key contributor to building the cutting-edge systems that power AI at Roblox. You will focus on one of three high-impact tracks:
\nYou may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.
\nAs you apply, you can find more information about our process by signing up for Speak\\_. You'll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process.
\nFor 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 this page.
\nAnnual Salary Range
\n$195,780—$242,100 USD
\nRoles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
","enriched_at":1772806792481},{"id":"job_4f57038e-438","title":"Applied Scientist - PhD Intern","source_url":"https://careers.roblox.com/jobs/7142298","location":"San Mateo, CA","job_type":"internship","experience_level":"entry","work_arrangement":"onsite","category":"Engineering","description":"San Mateo, CA, United States
\nEarly Career
\nID: 5262
\nEvery 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.
\nAt 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.
\nA 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.
\nRoblox is spearheading the future of immersive entertainment with the ambitious goal of dominating 10% of the gaming market. Join us to tackle challenges that enable AI-driven creation and massive concurrency for a global community where innovation meets safety.
\nDuring this 12 or 16 week internship, you will drive a project from ideation to experimentation, production or publication, with the possibility of continued collaboration beyond the internship.
\nYour project will focus on the hardest problems in tech today affecting massive scale with 112+ million daily active users. We support experimentation and production with top researchers, engineers, faculty, and PhD candidates globally that can lead to publications at esteemed venues.
\nYou may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.
\nFor 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 hourly rate could fall outside of this expected range. This pay range is subject to change and may be modified in the future. _Please note that not all benefits shown on this page are applicable to internship opportunities._
\nHourly Pay Range
\n$72—$72 USD
\nRoles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
","enriched_at":1772806779553},{"id":"job_e13425ae-b83","title":"Senior Machine Learning Engineer, Multimodal AI, Computer Vision and Graphics - PhD Early Career","source_url":"https://careers.roblox.com/jobs/7323437","location":"San Mateo, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"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.
\nAt 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.
\nA 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.
\nAt 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 & safety initiatives across our massive ecosystem.
\nWe’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.
\nYou Will:
\nYou Have:
\nYou may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.
\nAs you apply, you can find more information about our process by signing up for Speak\\_. You'll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process.
\nFor 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 this page.
\nAnnual Salary Range
\n$195,780—$242,100 USD
\nRoles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
","enriched_at":1772806753911},{"id":"job_601ca6bf-9b1","title":"Senior Machine Learning Engineer, Natural Language Processing - PhD Early Career","source_url":"https://careers.roblox.com/jobs/7324377","location":"San Mateo, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"San Mateo, CA, United States
\nEvery 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.
\nAt 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.
\nA 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.
\nNatural 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 NLP, speech, and generative AI models that operate at an unprecedented scale, impacting hundreds of millions of daily users.
\nYou will solve an extremely diverse range of high-scale language-related problems—from real-time moderation of voice and text to automatically localizing experiences and empowering users through LLM-driven creation tools. 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.
\nYou Will
\nYou Have
\nYou may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.
\nAs you apply, you can find more information about our process by signing up for Speak\\_. You'll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process.
\nFor 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 this page.
\nAnnual Salary Range
\n$195,780—$242,100 USD
\nRoles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
","enriched_at":1772806730958},{"id":"job_c9a056a8-13c","title":"Senior Machine Learning Engineer, Engine Optimization - PhD Early Career","source_url":"https://careers.roblox.com/jobs/7421746","location":"San Mateo, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"San Mateo, CA, United StatesEarly CareerID: 5626
\nEvery 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.
\nAt 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.
\nA 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.
\nOur 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.
\nThis 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.
\nAs a full-time employee at Roblox, you will be eligible for equity compensation and benefits as described on this page.
\nThe 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.
\nAnnual Salary Range
\n$195,780—$242,100 USD
\nRoles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
","enriched_at":1772806716559},{"id":"job_1875654e-29d","title":"Data Scientist, Foundation AI - PhD Early Career","source_url":"https://careers.roblox.com/jobs/7577436","location":"San Mateo, CA","job_type":"full-time","experience_level":"entry","work_arrangement":"hybrid","category":"Engineering","description":"San Mateo, CA, United States
\nEarly Career
\nID: 5825
\nEvery 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.
\nAt 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.
\nWe’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
\nA 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.
\nThe Data Science & Analytics organization'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.
\nOur 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.
\nAs 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.
\nYou may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.
\nFor 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 this page.
\nAnnual Salary Range
\n$185,860—$221,380 USD
\nRoles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
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