Machining Engineer jobs at Roblox - 39 jobs

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. 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. 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. The Safety Experience organization builds the tools and systems that give Roblox Users and Creators control over their experience and empower moderators to enforce our community standards. These teams focus on education, intervention, visibility, and action. We focus on: Monitoring and influencing user behavior (User Safety) Building efficient and scalable moderation platforms (Foundation) Providing transparency and education for parents and developers (User Safety) Giving users agency in managing their own safety (User Safety) Give IP owners the ability to manage their creations on Roblox (Rights & Guidelines) Providing users fast and accurate support with the Customer Care Chatbot (Customer Care) You will: Build end-to-end ML systems related to similarity detection and Computer Vision related classification and more Drive the evolution of our safety experience into a scalable, adaptable system that supports dozens of customer teams with unique needs Develop innovative detection approaches in a rapidly evolving landscape. Use a data-driven lens to think creatively, strategically, and adversarially to identify opportunities. Shape the team's roadmap and technical direction. Drive execution, establish strong technical foundations, and mentor junior engineers. Partner with AI Systems, PM, Data, and stakeholders across Roblox. You have: 7+ year experience in designing and building deep learning solutions to solve computer vision problems. Capable of breaking down product requirements into iterative deliverable stages. Experience in launching computer vision models into production. MS or PhD degree in Computer Vision, Deep Learning, or a related field. You have solid fundamentals in Computer Vision and Deep Learning. Nice to haves Experience in anti-abuse / integrity/security domain is a plus 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 this page. Annual Salary Range$293,800-$343,340 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group > Machine Learning Engineering Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices - like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge. We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge - including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey. In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on- and off-device frameworks enabling optimization. The successful applicant should have a strong theoretical background and proven hands-on experience with enabling on-device AI using modern software engineering best practices. Must have experience and skills: Strong theoretical background in AI and general ML techniques Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics ML Accelerator architecture knowledge & experience with ML Accelerators - GPU/NPU Proven hands-on experience building LLM stacks to solve real-world problems Strong Python and modern C++ design and implementation skills. Strong command of Machine Learning training frameworks (i.e. PyTorch ) Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.) Strong Linux command line skills. Strong general analytical and debugging skills. Prior experience working in agile environments. Prior experience in collaborating with multi-disciplinary teams across time zones. Strong team player, communicator, presenter, mentor, and teacher. Preferred extra experience and skills: Hands-on experience developing software for heterogenous platforms with OpenCL. Experience developing solutions that target a variety of hardware ( CPU, GPU, NSP …) along with their respective SW development environments. Prior experience with model quantization, profiling and running models on edge devices. Experience developing SDKs/libraries targeting multiple platforms and operating systems (Android, Linux, Windows) Previous experience with Docker and Git. Preferred qualifications: Master's and/or PhD degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of work experience in Software Engineering, Systems Engineering, or related. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. PhD in Computer Science, Engineering, Information Systems, or related field. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Pay range: $140,800.00 - $211,200.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

About Eightfold.ai Eightfold.ai is revolutionizing HR technology with AI. We are building the next generation of our AI-powered talent platform, aiming to match the right career for everyone in the world. Our AI-native enterprise talent intelligence platform leverages Gen AI, LLM, NLP and deep Learning algorithms, global talent insights, and matching engines to empower organizations and individuals alike. About the Team The AI Agents team at Eightfold.ai is at the forefront of developing intelligent, autonomous systems that will redefine talent management. We are building cutting-edge agentic AI that can proactively assist users, automate complex workflows, and provide personalized insights. Our work directly impacts millions of users and shapes the future of how people connect with opportunities. Responsibilities Research, design, development, and deployment of advanced AI agents and agentic systems. Architect and implement complex multi-agent systems, including planning, decision-making, and execution capabilities. Develop and integrate large language models (LLMs) and other state-of-the-art AI techniques to enhance agent autonomy and intelligence. Build robust, scalable, and reliable infrastructure to support the deployment and operation of AI agents at scale. Collaborate with product managers, UX designers, and other engineers to define requirements and deliver impactful solutions. Diagnose and troubleshoot issues in complex distributed environments and optimize system performance. Contribute to the team's technical growth and knowledge sharing. Stay up-to-date with the latest advancements in AI research and agentic AI and apply them to our products. Leverage enterprise data, market data, and user interactions to build intelligent and personalized agent experiences. Contribute to the development of Copilot GenAI Workflows for Users, enabling chat-like command execution. Qualifications Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing (NLP). Understanding of agent-based modeling, reinforcement learning, and autonomous systems. Experience with large language models (LLMs) and their applications in Agentic AI. Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow or PyTorch. Experience with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes). Understanding of distributed system design patterns and microservices architecture. Demonstrable Coding and Algorithms skills. Excellent problem-solving and data analysis skills. Strong communication and collaboration skills. Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience. Min 1-3+ years of relevant machine learning work experience. Preferred Qualifications Research experience in agentic AI or related fields. Experience building and deploying AI agents in real-world applications. Pay Transparency Please note this role is categorized as hybrid in Santa Clara, CA The base salary ranges below are provided for pay transparency. Base pay is only one piece of our total compensation package as this role may be eligible for bonus and equity awards. Compensation varies depending on a number of factors including qualifications, skills, competencies, experience and zones determined by location. Zone A is in SF Bay Area, CA . Base annual salary range: $123,750 to 165,000 + discretionary bonus up to 10% + pre IPO equity (stock options). Hybrid Work @ Eightfold We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Starting May 1st, 2025, employees residing near Santa Clara, California, or our Bangalore and Noida offices in India will return to the office three times a week. Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status. Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions. #LI-Hybrid #J-18808-Ljbffr

Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > Machine Learning Engineering Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices - like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge. We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge - including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey. In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases. The successful applicant should have a strong theoretical background and proven hands‑on experience with enabling on‑device AI using modern software engineering best practices. Must have experience and skills Strong Python and C/C++ design and implementation skills. Knowledge of deep learning and ML frameworks (i.e. PyTorch). Strong software design skills with a focus on usability. Strong analytical, debugging and problem‑solving skills. Experience in Embedded Software development. At least 3 years of work experience in a relevant field. Preferred extra experience and skills Excellent programming capabilities in Java. Knowledge of Generative AI (GenAI) technologies. Knowledge of Android programming is a plus. Knowledge of neural network model optimization and on‑target deployment is a plus. Previous experience with Docker, Git and CI/CD. Knowledge of NPUs / ML accelerators. Minimum Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Ph.D. in Computer Science, Engineering, Information Systems, or related field. EEO Statement Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Pay range $140,800.00 - $211,200.00 If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

A dynamic tech startup in San Francisco is seeking an experienced staff-level software engineer to join their front-end development team. This role involves leading best practices and developing a world-class team. Candidates should have 6+ years of front-end web development experience, particularly with Typescript and React. The position offers a competitive salary of $180,000 - $220,000 with equity options and flexible work conditions. #J-18808-Ljbffr

Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > CPU Engineering As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm CPU Engineer, you will lead innovative Central Processing Unit (CPU) design efforts that have a critical impact on industries across the world. Qualcomm Engineers collaborate with cross-functional teams to design, verify, and implement multi-core CPU operations for all Qualcomm Business Units. Minimum Qualifications: • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 2+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 1+ year of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field. Preferred Qualifications: • Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field. • 2+ years of work experience with high-performance microprocessor design. • 2+ years of work experience with high level programming (e.g., C, C++), scripting language programming (e.g., Perl, Python, etc.). • 2+ years of work experience with simulators and/or waveform debugging tools (e.g., Verilog, VHDL, etc.). • 2+ years of work experience with industry standard tools for synthesis place and/or route and design verification. • 2+ years of work experience with simulation, emulation, formal verification, or silicon validation. • 2+ years of experience in creating functional models, checkers, test plans, and/or test generation. • 1+ year experience working in a large matrixed organization. Principal Duties and Responsibilities: • Applies knowledge of computer architecture, micro-architecture, logic design, circuits, and/or physical design to develop and verify high performance and low power CPU designs. • Anticipates, identifies, and solves problems to ensure design completeness, functionality, power, and performance. • Collaborates across teams to define requirements, specifications, and trade-offs (e.g., performance, power, cost, functionalities, etc.) in order to accomplish product goals. • Evaluates the design process from conceptualization to productization (i.e., architecture definition, feasibility, pre-silicon design and verification, and post-silicon validation) that meet customer and industry standards. • Writes detailed technical documentation (e.g., feature descriptions, architectural descriptions, verification test plans, and implementation details, etc.) for CPU designs. Level of Responsibility: • Works independently with minimal supervision. • Decision-making may affect work beyond immediate work group. • Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. • Has a moderate amount of influence over key organizational decisions. • Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively. Note: We have multiple positions open at different job levels. Based on experience and background, the job level will be decided. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-maildisability-accomodations@qualcomm.comor call Qualcomm's toll-free number foundhere. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits: $122,500.00 - $183,700.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at thislink. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

A leading technology firm is seeking a Physical Design Engineer to join their team in San Diego, CA. The ideal candidate will have extensive experience in ASIC design, focusing on clock tree synthesis and verification. This role requires strong scripting skills and the ability to collaborate across functional teams to meet performance goals. A competitive salary range of $140,000 to $210,000 is offered, along with comprehensive benefits. #J-18808-Ljbffr

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. 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. 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. Why Safety? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization's mission is to become the leader in civil immersive online communities. We systematically and proactively detect, remove, and prevent problematic content and behavior. In doing so, we keep Roblox safe, civil, and inclusive, fostering positive relationships between people around the world. Why Safety AI Systems? As a Senior/Principal Machine Learning Engineer for Safety AI Systems, you will define the future of proactive moderation, driving immense social impact through cutting-edge, innovative ML solutions. This role is a fusion of a Principal Engineer's technical authority and an Engineering Manager's leadership, focused on the most critical and ambiguous safety challenges. You will set the 3-5 year technical strategy and architectural blueprint for how Roblox uses machine learning-from high-velocity text filtering to leveraging multimodal Generative AI-to combat the most complex critical harms on the platform. You will own the execution roadmap and technical planning, directly guiding the launch of high-priority new ML projects. You will be responsible for defining the standards of innovation in data quality, model robustness, and ethical deployment across the entire Content & Communication Safety ML pillar. You will lead and scale a high-performing group of individual contributors, providing both strategic oversight and hands-on guidance to the teams responsible for the architectural development of massive-scale systems that mitigate abuse and harassment before it impacts our community. You will feel a deep sense of responsibility in proactively protecting our community-thoughtfully and fairly-while balancing user freedom with platform civility. Your efforts will ensure Roblox remains one of the safest places on the internet for users. You will: Define and Own the Technical Vision: Define and lead the multi-year technical vision, architectural strategy, and execution for machine learning solutions across Content and Communication Safety, ensuring these systems proactively and effectively detect and prevent high-severity, critical harms at massive scale. Provide Senior/Principal-Level Architecture: Act as the highest technical authority for the Content Safety ML domain, guiding the architecture and long-term maintainability of foundational models, data pipelines, and real-time inference services. Drive Cross-Org Alignment: Identify and champion the most ambiguous, high-leverage technical problems, driving alignment and securing investment for organization-wide ML infrastructure and platform development initiatives that benefit all of Trust & Safety. Lead Innovation in Safety: Oversee the adoption and safe deployment of innovative technologies (e.g., advanced NLP, self-supervised learning, multimodal LLMs) to anticipate and mitigate novel abuse vectors, moving beyond reactive detection to proactive intervention. Strategic Stakeholder Partnership: Collaborate with executive-level Product, Data Science, Policy, and Operations leaders to define and prioritize the strategic machine learning roadmap, influencing product strategy and demonstrating the impact of ML on user trust and safety outcomes. You have: 8+ years of experience designing, developing, and operating large-scale, high-impact machine learning systems in a production environment. 5+ years of experience in technical leadership, management, or mentorship roles, ideally having managed Engineering Managers or Senior/Principal-level individual contributors. A proven track record of successfully setting the long-term technical direction for an entire ML domain or pillar, demonstrating the ability to take ambiguous problems from concept to scaled production impact. Deep expertise in advanced ML architectures, including Large Language Models (LLMs), transfer learning, or other foundation model technologies, especially applied to text or multimodal data. Expertise in architecting scalable, real-time ML inference services and robust data pipelines operating at millions of requests per second. Demonstrated success in leading and resolving high-stakes, cross-functional conflicts and technical disagreements, with an ability to build consensus among diverse stakeholders. Exceptional product sense and strategic planning ability: able to translate platform safety requirements into an achievable, iterative technical roadmap. You are: A Visionary Architect: Capable of synthesizing complex business and safety goals into a clear, compelling, and actionable technical strategy. An Inspiring Leader: Passionate about developing the next generation of technical leaders, managers, and engineers. Comfortable with Ambiguity: You thrive in undefined or open-ended problem spaces, providing structure, clarity, and decisive direction to your teams. An Executive Communicator: Highly effective at communicating complex technical concepts to both engineering teams and non-technical executive leadership. Committed to Ethical AI: Dedicated to building ML systems that are fair, transparent, and operate with the utmost responsibility toward user safety and platform civility. 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 this page. Annual Salary Range$293,800-$343,340 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

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. 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. 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. WHY SAFETY? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization's mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic accounts, content and behavior, 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. Aligned and partnering with product teams, we use this toolbelt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. WHY ACCOUNT IDENTITY? Safety and Civility is Roblox's #1 priority and our mission is to keep Roblox secure by building in-depth understanding of our users. As a principal ML engineer on the Account Identity team, you will be leading work on multi-modal age estimation (both facial and behavioral) and alternate account detection. This area is both adversarial and complex due to Roblox's varied demographics. You'll be focused on building scalable and secure detection to ensure platform safety. You will report to the Senior Engineering Manager of the Account Identity Team. You will: Lead 0-1 secure, efficient, reliable and high precision age estimation product including both facial and behavioral features Develop innovative detection approaches in a rapidly evolving landscape. Use a data-driven lens to think creatively, strategically, and adversarially to identify opportunities. Bring industry best practices and innovative research in computer vision, multi-model data fusion and big data expertise Up-level the ML team while also effectively collaborating with software engineers You have: MS or PhD degree in Computer Vision, Deep Learning, or a related field. You have solid fundamentals in Computer Vision and classification problems. 8+ years of industry experience in Applied ML specifically related to facial identity/safety domain. Capable of breaking down product requirements into iterative deliverable stages. Experience in launching computer vision models into production. Experience with facial recognition and/or deepfake detection is a plus. This includes work on liveness detection, age estimation, anti-spoofing, and synthetic media analysis for identity verification and fraud prevention. Passion and Experience in anti-abuse / integrity/security domain is a plus. You are: Resourceful: You're adaptable in any situation and can always find a path forward. Analytical: Excited to investigate large, ambiguous problems, and quantify the problems and the solutions. User Oriented: You always start with the needs of the user, whether they are Roblox users or internal engineers before architecting a solution. Team Oriented: You lift up your peers and find ways to make the team stronger. You are a sought-after mentor. You foster a culture of technical excellence. Mission Oriented: You stay laser-focused on the mission and are versatile, creative, and strategic to achieve it. You think long-term, and find ways to deliver short-term value on the way to get there. 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 this page. Annual Salary Range$293,800-$343,340 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

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. 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. 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. The Rights Manager team and the Content Suitability team that are part of our Safety Experience are looking to hire a Sr Machine Learning Engineer for their respective teams. The Safety Experience organization builds the tools and systems that give Roblox Users and Creators control over their experience and empower moderators to enforce our community standards. These teams focus on education, intervention, visibility, and action. We focus on: Monitoring and influencing user behavior (User Safety) Building efficient and scalable moderation platforms (Foundation) Providing transparency and education for parents and developers (User Safety) Giving users agency in managing their own safety (User Safety) Give IP owners the ability to manage their creations on Roblox (Rights & Guidelines) Providing users fast and accurate support with the Customer Care Chatbot (Customer Care) You will: Work on implementation of machine learning solutions for safety-related systems Help to foster a culture of technical excellence and inclusivity Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness Facilitate challenging technical decisions, demonstrating empathy and finding common understanding Collaborate with cross-functional teams to execute on ML-based problems You have: MS or PhD degree + 2+ years of experience in Computer Vision, Deep Learning, or a related field. You have solid fundamentals in Computer Vision and Deep Learning. Experience with the full ML lifecycle, including training, deployment, and continuous monitoring. Experience with similarity detection and/or digital watermarking. This includes work on developing and re-training embedding models, including multi-modal models Strong coding skills with proficiency in one or more programming languages and experience with building large-scale systems You are: Experienced in the safety, integrity, or content moderation domain. Familiar with large-scale content understanding problems (e.g., text, image, video classification). Experienced with cloud-based ML platforms and infrastructure. 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 this page. Annual Salary Range$195,780-$242,100 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

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. 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. 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. 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. 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. You Will Analyze massive-scale engine performance, streaming patterns, and user behavior telemetry to uncover optimization opportunities and guide the long-term ML roadmap. Design ML models that infer player and interaction patterns for predictive resource management and content delivery. 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. Collaborate with core engine and performance engineering teams to integrate ML solutions directly into the critical path of gameplay across multiple platforms. Define the architectural strategy for deploying and scaling ML across resource management and streaming components at massive global scale. You Have 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. Proficiency in C++, Python, Go, Java, or similar languages, with experience deploying ML models in performance-critical systems. A solid understanding of systems-level concepts (memory management, threading, OS signals) or a deep interest in learning them. A track record of solving complex optimization problems or integrating ML into real-time systems, ideally in gaming, simulation, robotics, or mobile environments Apply now to be considered for anticipated positions. You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer. As 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. 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 this page. Annual Salary Range$195,780-$242,100 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

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. 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. 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. 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 & safety initiatives across our massive ecosystem. 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. Teams Hiring for This Role Content Understanding: Develop large-scale computer vision and multimodal models that classify, organize, and recommend 3D and visual content to improve user discovery, personalization, and safety. Account Identity : focuses on various aspects of user Identity from bot detection, alternate account detection graph, to age estimation based on behavioral and facial features. You Will: Lead the research and development of deep learning models for visual content understanding and 3D content generation (image/video/3D scenes, avatars, and assets). Design and implement foundation models for visual and 3D-based creation, search, and recommendations, ensuring a high level of fidelity, relevance, and ranking. Break down complex product requirements into iterative deliverable stages, moving applied research into high-scale production systems. Implement innovative visual and multi-modal models that power core Roblox functions (e.g., world creation, avatar systems, search, and recommendations). Build high precision facial age estimation across demographics from ground up including various fraud detection techniques for a robust and safe user identity system. You Have Possessing or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox's research areas. Expertise in one or more areas: computer vision, multimodal learning, 3D Graphics, or large-scale representation learning. Experience developing and training deep learning models using modern frameworks (PyTorch, TensorFlow, JAX). A strong research track record, evidenced by multiple publications and presentations in top-tier, peer-reviewed venues. Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems. Apply now to be considered for anticipated positions. You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer. As 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. 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 this page. Annual Salary Range$195,780-$242,100 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

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. 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. 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. 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. We combine cutting-edge research -including deep learning, generative AI, and reinforcement learning techniques- with large-scale engineering to bridge experimentation and production; you'll design algorithms that operate at massive scale and shape the next generation of recommender systems for user-generated content. Teams Hiring for This Role Search: powers major recommendation surfaces-drives user engagement by redesigning core surfaces and search/homepage ranking Notifications: owns the distributed systems and ML platform that transform billions of Roblox signals into high‑value notifications for hundreds of millions of players. Economy: builds the ML backbone for marketplace, monetization, and commerce (including fraud, pricing, and bundling) Ads & Brands: focuses on ranking, retrieval, and marketplace/auction theory to optimize sponsored content delivery. Safety, Critical Harms: focuses on proactively identifying and mitigating extremely high-risk, sensitive content and behaviors using investigative multi-step reasoning, behavior analysis, and knowledge graphs for risk forecasting. You Will Design and implement large-scale recommendation systems that power discovery across Roblox's surfaces - experiences, avatars, and creator content. Develop deep learning models for ranking, retrieval, and personalization using approaches in multimodal models, LLMs, and generative AI. Collaborate with applied researchers, engineers, and product teams to advance experimentation and accelerate innovation. Translate research into production systems that impact hundreds of millions of daily active users. Work backward from user and product needs to deliver ML solutions that drive engagement, retention, and ecosystem growth. You Have Possessing or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox's research areas. Expertise in one or more areas: recommender systems, search systems, information retrieval, or generative models (e.g., LLMs, VLMs, VLAs) Ability to design and architect systems for efficient personalization and user interest modeling using advanced attention mechanisms (e.g., sparse/linear attention). 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) Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems. Apply now to be considered for anticipated positions. You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer. As 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. 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 this page. Annual Salary Range$195,780-$242,100 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

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. 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. 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. The Foundation AI Group is on a mission to establish Roblox as the standard for 3D foundational models (3DFMs), democratizing creation by making it simple for anyone to generate high-quality, immersive 3D experiences using AI. The AI Platform team is a foundational part of this vision, supporting hundreds of ML use cases and billions of inferences daily across Discovery, Safety, Engine, and more. We are seeking exceptional PhD new graduates to drive innovation across three critical areas: AI Platform, Distributed Inference Systems, and Generative AI Information Retrieval. You Will As 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: Track 1: AI Platform Projects Pioneer next-generation AI tooling to enhance the efficiency, cost, and usability of ML@Roblox. Build and maintain core platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes. Design great developer experiences (paved-road templates, tooling, visualizations) to reduce time-to-production and ensure foundational AI systems are scalable and reliable. Track 2: Distributed Inference & Systems Optimization Architect and implement scalable distributed inference systems for efficiently serving LLMs and Large Recommender Models at massive scale. 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. Track 3: Information Retrieval & RAG for Gen AI Lead the design and development of Retrieval-Augmented Generation (RAG) systems. Build and maintain core information retrieval infrastructure-vector databases and knowledge graphs-to enable accurate grounding of Gen AI models. Ship language models and 3D objects as a service for the Roblox community, making creation easier. You Have 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. Experience with high performance distributed systems, ML Infrastructure, LLM fine tuning/RL, Information Retrieval and Gen AI context generation. Expertise in one or more of the following key areas: AI/ML Platform Data stores - Features stores, Vector DBs and Knowledge Graphs. LLMs - Fine tuning, Safety. Agentic systems - Agent evaluation, context engineering. Experience building agentic applications with context for real world applications. Collaborative mindset and experience integrating and deploying optimized models with cross-functional teams, including data scientists and software engineers. Experience with graph databases and large-scale GNNs (Graph Neural Networks) Experience working with Kubernetes Experience working with one or more cloud providers (e.g., AWS, Azure, GCP) Experience working with high availability systems Experience working with ML models, LLMs or other AI systems You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer. As 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. 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 this page. Annual Salary Range$195,780-$242,100 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

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. 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. 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. 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 NLP, speech, and generative AI models that operate at an unprecedented scale, impacting hundreds of millions of daily users. You 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. Teams Hiring for This Role Safety AI Systems: Dedicated to building end-to-end ML systems for maintaining civility and safety across the platform, operating at massive scale. This includes: Real-time Moderation: Building world-class NLP and speech models for real-time moderation of voice and text (processing over 6 billion messages daily) and advanced interventions that measurably improve user civility. Critical Harms & Advanced Detection: 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. Safety Data Quality: Ensuring all Safety AI systems are robust by managing the core data infrastructure, MLOps, and Active Learning initiatives for continuous model improvement. You Will Design and implement deep learning-based NLP and speech solutions that address problems across Roblox, from creation to safety. Develop advanced models, including Large Language Models (LLMs), machine translation, and generative AI, for user interactions, content creation, and moderation. Have the independence and end-to-end responsibility to develop NLP/ML-based services that are scalable and resilient. Be a technical bar-raiser for cutting-edge ML technology, high code quality, and architectural designs. Work backward from user and product needs to deliver ML solutions that drive engagement, safety, and ecosystem growth. You Have 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. Expertise in one or more areas: NLP, Speech Models, Large Language Models, Machine Translation, or Generative AI (including diffusion models). Experience with transformer-based model design, training, serving, and product integration. A strong research track record, evidenced by multiple publications and presentations in top-tier, peer-reviewed venues (e.g., ACL, EMNLP, Interspeech, ICML, NeurIPS). Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems. You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer. As 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. 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 this page. Annual Salary Range$195,780-$242,100 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

WHY SAFETY? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization's mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic accounts, content and behavior, 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. Aligned and partnering with product teams, we use this toolbelt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. WHY ACCOUNT IDENTITY? Safety and Civility is Roblox's #1 priority and our mission is to keep Roblox secure by building in-depth understanding of our users. As a principal ML engineer on the Account Identity team, you will be leading work on multi-modal age estimation (both facial and behavioral) and alternate account detection. This area is both adversarial and complex due to Roblox's varied demographics. You'll be focused on building scalable and secure detection to ensure platform safety. You will report to the Senior Engineering Manager of the Account Identity Team. You will: Lead 0-1 secure, efficient, reliable and high precision age estimation product including both facial and behavioral features Develop innovative detection approaches in a rapidly evolving landscape. Use a data-driven lens to think creatively, strategically, and adversarially to identify opportunities. Bring industry best practices and innovative research in computer vision, multi-model data fusion and big data expertise Up-level the ML team while also effectively collaborating with software engineers You have: MS or PhD degree in Computer Vision, Deep Learning, or a related field. You have solid fundamentals in Computer Vision and classification problems. 8+ years of industry experience in Applied ML specifically related to facial identity/safety domain. Capable of breaking down product requirements into iterative deliverable stages. Experience in launching computer vision models into production. Experience with facial recognition and/or deepfake detection is a plus. This includes work on liveness detection, age estimation, anti-spoofing, and synthetic media analysis for identity verification and fraud prevention. Passion and Experience in anti-abuse / integrity/security domain is a plus. You are: Resourceful: You're adaptable in any situation and can always find a path forward. Analytical: Excited to investigate large, ambiguous problems, and quantify the problems and the solutions. User Oriented: You always start with the needs of the user, whether they are Roblox users or internal engineers before architecting a solution. Team Oriented: You lift up your peers and find ways to make the team stronger. You are a sought-after mentor. You foster a culture of technical excellence. Mission Oriented: You stay laser-focused on the mission and are versatile, creative, and strategic to achieve it. You think long-term, and find ways to deliver short-term value on the way to get there.

The Safety Experience organization builds the tools and systems that give Roblox Users and Creators control over their experience and empower moderators to enforce our community standards. These teams focus on education, intervention, visibility, and action. We focus on: Monitoring and influencing user behavior (User Safety) Building efficient and scalable moderation platforms (Foundation) Providing transparency and education for parents and developers (User Safety) Giving users agency in managing their own safety (User Safety) Give IP owners the ability to manage their creations on Roblox (Rights & Guidelines) Providing users fast and accurate support with the Customer Care Chatbot (Customer Care) You will: Build end-to-end ML systems related to similarity detection and Computer Vision related classification and more Drive the evolution of our safety experience into a scalable, adaptable system that supports dozens of customer teams with unique needs Develop innovative detection approaches in a rapidly evolving landscape. Use a data-driven lens to think creatively, strategically, and adversarially to identify opportunities. Shape the team's roadmap and technical direction. Drive execution, establish strong technical foundations, and mentor junior engineers. Partner with AI Systems, PM, Data, and stakeholders across Roblox. You have: 7+ year experience in designing and building deep learning solutions to solve computer vision problems. Capable of breaking down product requirements into iterative deliverable stages. Experience in launching computer vision models into production. MS or PhD degree in Computer Vision, Deep Learning, or a related field. You have solid fundamentals in Computer Vision and Deep Learning. Nice to haves Experience in anti-abuse / integrity/security domain is a plus

The Rights Manager team and the Content Suitability team that are part of our Safety Experience are looking to hire a Sr Machine Learning Engineer for their respective teams. The Safety Experience organization builds the tools and systems that give Roblox Users and Creators control over their experience and empower moderators to enforce our community standards. These teams focus on education, intervention, visibility, and action. We focus on: Monitoring and influencing user behavior (User Safety) Building efficient and scalable moderation platforms (Foundation) Providing transparency and education for parents and developers (User Safety) Giving users agency in managing their own safety (User Safety) Give IP owners the ability to manage their creations on Roblox (Rights & Guidelines) Providing users fast and accurate support with the Customer Care Chatbot (Customer Care) You will: Work on implementation of machine learning solutions for safety-related systems Help to foster a culture of technical excellence and inclusivity Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness Facilitate challenging technical decisions, demonstrating empathy and finding common understanding Collaborate with cross-functional teams to execute on ML-based problems You have: MS or PhD degree + 2+ years of experience in Computer Vision, Deep Learning, or a related field. You have solid fundamentals in Computer Vision and Deep Learning. Experience with the full ML lifecycle, including training, deployment, and continuous monitoring. Experience with similarity detection and/or digital watermarking. This includes work on developing and re-training embedding models, including multi-modal models Strong coding skills with proficiency in one or more programming languages and experience with building large-scale systems You are: Experienced in the safety, integrity, or content moderation domain. Familiar with large-scale content understanding problems (e.g., text, image, video classification). Experienced with cloud-based ML platforms and infrastructure.

As a Distinguished Machine Learning Engineer/Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users. Our industry-leading safety features ensure Roblox remains a safe and inclusive environment for our community to express themselves creatively and share experiences without fear. The Safety org is the reason why Roblox is the safest place on the internet, protecting users You will provide technical leadership on AI/ML efforts for Trust and Safety as the Roblox platform scales to serve different age groups and geographic locations. You Will: Own the technical direction and implementation of machine learning solutions for safety-related systems Lead and mentor other engineers, fostering a culture of technical excellence and inclusivity Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness Facilitate challenging technical decisions across multiple teams, demonstrating empathy and finding common understanding Collaborate with cross-functional teams to define and prioritize the machine learning roadmap You Have: 10+ years of experience delivering and improving large-scale machine learning systems Proven expertise in creating and launching machine learning models from scratch Ability to handle data problems, train models with large datasets, and ensure system reliability at scale Experience with distributed systems, data architecture, and model extraction Strong programming skills and willingness to be hands-on as necessary Prior experience in a leadership role with a technical focus, including mentoring engineering teams You Are: A creative and strategic problem-solver, able to simplify complex issues while integrating fresh ideas Committed to fostering a diverse and inclusive workplace where everyone feels valued and supported Passionate about maintaining deep technical expertise while meeting end-user needs Knowledgeable about cutting-edge ML technologies, including LLMs Experienced in NLP or computer vision (preferred) Familiar with maintaining and evolving safety systems at scale (preferred)