Autonomy Engineer Intern - Computer Vision/Deep Learning Summer 2026

Skydio stands as the preeminent drone company in the United States and a global leader in autonomous flight technology, which is vital for the future of drones and aerial mobility. Our team is comprised of experts in artificial intelligence, cutting-edge hardware and software development, operational excellence, and a relentless focus on customer satisfaction. We aim to empower a diverse range of drone users, from utility inspectors to first responders and military personnel in various scenarios.About the Role:At the heart of our autonomy system is the ability to learn a semantic and geometric understanding of the world through visual data. We are at the forefront of real-time deep learning networks, striving to enhance intelligent aerial robots capable of navigating unknown environments and delivering substantial operational value. If you are passionate about applying deep learning to real-world challenges in computer vision and autonomy, we encourage you to apply.As a Deep Learning Engineer, your primary responsibility will be to train and deploy optimized models for our products. You will tackle complex challenges including optical flow estimation, stereo depth estimation, object detection, segmentation and tracking, visual place recognition, localization and mapping, few-shot learning, occupancy networks, and automated path planning.Your Impact:Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system.Utilize vast amounts of real-world video and sensor data for data mining, curation, labeling, training, and evaluation.Employ large-scale diverse synthetic data to enhance deep learning algorithms.Utilize state-of-the-art foundation models for knowledge distillation and efficient learning.Refine and optimize models for low-latency performance on embedded hardware.Develop evaluation benchmarks and metrics to assess the performance of autonomous systems.Contribute broadly to various aspects of the software as required.Your Qualifications:A Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field.Proven hands-on experience in designing, training, and deploying deep learning models.Strong ability to produce high-quality, well-architected code (preferably in Python/PyTorch).

Skydio stands as the premier drone company in the United States and a global leader in autonomous flight technology, which is pivotal for the future of drones and aerial mobility. Our team merges profound expertise in artificial intelligence with exceptional hardware and software product development, operational excellence, and an unwavering commitment to customer satisfaction. We empower a diverse range of drone users, from utility inspectors to first responders, and military personnel in various scenarios.About the Role:At the heart of our autonomy system is the ability to learn a semantic and geometric understanding of the world through visual data. We are at the forefront of pushing the limits of real-time deep networks, driving advancements in intelligent mobile robotics.If you are passionate about tackling open-ended challenges in object detection and tracking, motion prediction, flow estimation, and comprehensive scene understanding, while utilizing extensive structured video data, we encourage you to apply.Your Impact:Develop and deploy deep learning solutions to address detection, tracking, segmentation, and optical flow estimation tasks in real-time on Skydio drones.Utilize cutting-edge methods in unsupervised learning, few-shot learning, and foundational models to enhance data-efficient machine learning.Curate and augment synthetic data that fuels our deep learning algorithms in conjunction with vast amounts of structured video data.Refine and optimize models for low-latency performance on embedded hardware.Evaluate and quantify the performance of vision systems.Engage in research and prototype innovative approaches.Act as a versatile contributor across various software domains as needed.Your Qualifications:Proven hands-on experience in creating and deploying deep learning models.Experience in curating both synthetic and real-world image datasets.Strong software engineering background with a dedication to writing clean, well-architected code (proficiency in Python or C++, ideally both).Demonstrated experience in prototyping, training, optimizing, and deploying deep neural networks.Ability to read and contextualize scientific research and literature in computer vision.Capacity to thrive in a fast-paced, collaborative small team environment.

At Skydio, a pioneering force in the drone industry, we specialize in autonomous flight technology that is reshaping the future of aerial mobility. Our team is composed of talented individuals who excel in artificial intelligence, cutting-edge hardware and software development, operational excellence, and an unwavering commitment to customer satisfaction. We aim to empower a diverse range of drone users, from utility inspectors to first responders and military personnel.Role Overview:As an Autonomy Engineer focusing on Deep Learning Model Acceleration, you will play a crucial role in enhancing the semantic and geometric understanding of the world through visual data. You will push the limits of real-time deep networks to drive advancements in intelligent mobile robotics. If you are passionate about utilizing vast amounts of structured video data to tackle challenges in Computer Vision (CV), including object detection, tracking, optical flow estimation, and segmentation, we would love to connect with you.Your Impact:Develop high-performance solutions for deep learning inference tailored for CV workloads, ensuring high throughput and low latency across various hardware platforms.Profile CV and Vision Language Models (VLMs) to assess performance, detect bottlenecks, and discover acceleration/optimization opportunities, enhancing power efficiency in deep learning inference.Design and execute comprehensive MLOps workflows for model deployment, monitoring, and retraining processes.Apply advanced Machine Learning knowledge to utilize training or runtime frameworks or model efficiency tools to boost system performance.Innovate new methodologies for improving training efficiency.Implement GPU kernels for custom architectures and optimized inference processes.Create SDKs that enable customers and external developers to build autonomous workflows using Machine Learning (ML).Utilize your expertise and best practices to uphold and enhance Skydio’s engineering standards.

Skydio designs and builds autonomous drones in San Mateo, California. Their technology supports professionals across industries, including utility inspectors, first responders, and military personnel. The team combines artificial intelligence, hardware, and software expertise to deliver drones for enterprise, public safety, and defense applications. Role overview This internship centers on deep learning and computational photography for Skydio’s AI-powered aerial robotics. The team extracts semantic and geometric details from visual data, advancing real-time deep learning for autonomous navigation. These efforts enhance camera performance and support inspection, mapping, intelligence, surveillance, reconnaissance, and public safety missions. What you will do Design, implement, and deploy deep learning models for computational photography tasks such as super-resolution, multi-frame denoising, low-light imaging, and HDR imaging. Work with large-scale real-world video and sensor datasets for data mining, curation, labeling, training, and evaluation. Train and optimize models for complex challenges, including multimodal scene understanding, optical flow, range estimation, object detection, segmentation and tracking, visual localization and mapping, few-shot learning, and automated path planning. Who should apply This internship suits those interested in deep learning for imaging, computer vision, and autonomous systems. Candidates who want to tackle practical and technical challenges in these areas are encouraged to apply.

Skydio stands at the forefront of the drone industry, pioneering autonomous flight technology that is shaping the future of aerial mobility. Our team excels in the realms of artificial intelligence, cutting-edge hardware and software development, and a relentless focus on customer satisfaction. We aim to broaden the accessibility of drone technology to a diverse range of users, from utility inspectors to first responders and military personnel.Our mission is to harness transformative AI to create unparalleled flying machines for both enterprise and governmental use. Central to our autonomy system is the ability to understand the world through semantic and geometric insights derived from visual data. We are continually pushing the limits of real-time deep learning networks to enhance the capabilities of intelligent mobile robots.About the Role:If you’re passionate about utilizing extensive structured video data to tackle challenges in Computer Vision (CV)—including object detection, tracking, optical flow estimation, and segmentation—we would be thrilled to connect with you.How You’ll Make an Impact:Develop high-performance deep learning inference solutions for CV tasks, ensuring high throughput and minimal latency across various hardware platforms.Profile and analyze CV and Vision Language Models (VLMs) to identify performance bottlenecks, optimization opportunities, and enhance power efficiency in deep learning inference workloads.Design and implement comprehensive MLOps workflows for model deployment, monitoring, and re-training.Apply advanced Machine Learning expertise to leverage training/runtime frameworks or model efficiency tools to elevate system performance.Create innovative approaches to enhance training efficiency.Implement GPU kernels for custom architectures and optimized inference.Design and develop SDKs that empower customers and external developers to create autonomous workflows using machine learning.Leverage your expertise to uphold and enhance Skydio’s engineering standards.

Join Skydio, the foremost drone company in the United States and a pioneer in autonomous flight technology essential for the evolution of drones and aerial mobility. Our team is dedicated to leveraging expertise in artificial intelligence, top-tier hardware, and software development, alongside a commitment to operational excellence and customer satisfaction. We strive to empower a diverse range of drone users, from utility inspectors to first responders and military personnel.About the Role:As a PhD Autonomy Engineer Intern, you'll be at the heart of our operations, developing computer vision algorithms that enable our drones to perceive their environment. You'll collaborate with a world-class team of researchers and engineers, taking ownership of projects that significantly enhance our products' capabilities.We welcome interns throughout the year (Fall, Spring, Summer) to join our innovative program. This is an exceptional opportunity for those with a strong mathematical background and software development skills who aspire to contribute to the advancement of autonomy algorithms in real-world applications.Your Impact:Drive the rapid R&D of intelligent systems with unmatched autonomous capabilities.Explore, prototype, and evaluate new approaches to enhance our technology.Design and implement innovative features that deliver exceptional value to users.Analyze and measure the performance of vital software and hardware components.

About UsAt Dyneti, we are committed to ensuring that digital payments are both seamless and secure. We have developed DyScan, an innovative software library that empowers digital merchants to prevent fraud while enhancing conversion rates by simply taking a photo of a credit card.Founded by a fraud prevention specialist from Uber, Dyneti has secured backing from a distinguished group of investors, including Y Combinator. Our technology has facilitated the processing of hundreds of millions of credit card scans globally, serving a diverse clientele that includes Fortune 100 companies and rapidly growing tech unicorns.Job OverviewWe invite you to join Dyneti as a member of our founding engineering team. This is a unique opportunity to work closely with our CEO in developing new features and launching innovative products within the deep learning domain.

Skydio stands at the forefront of the drone industry, recognized as the premier US drone manufacturer and a global leader in autonomous flight technology—integral to the future of aerial mobility. Our exceptional team merges profound knowledge in artificial intelligence with top-tier hardware and software development, operational excellence, and a relentless focus on customer satisfaction. We aim to empower a diverse array of drone operators, from utility inspectors and first responders to military personnel in critical scenarios.Role Overview:As a Senior Autonomy Engineer specializing in control systems, you will play a crucial role in advancing the algorithms that govern the behavior of our autonomous drones. Your expertise will lead to the creation of stable and smooth flight dynamics and gimbal motion, enabling pilots to execute their missions seamlessly across various applications, including inspections, mapping, and security operations. You will be integral to developing and implementing core motion planning software, focusing on low-level stabilization and control while contributing to high-level task-specific frameworks.Your Impact:Design, tune, and assess low-level controllers and trajectory optimization techniques.Collaborate across software systems to define crucial data and interfaces that ensure effective control.Partner with the UX team to explore and establish planning and UI boundaries for innovative interaction paradigms.Qualifications:Experience in either industry or research environments developing software that interacts with real hardware, such as robotic arms, self-driving vehicles, or aerial robots.Proficiency in modern and classical control design methodologies.Expertise in C++ programming.Familiarity with dynamic programming techniques.Experience in non-linear optimization.Strong foundation in software engineering, emphasizing clean and well-architected code.Compensation: At Skydio, we offer competitive compensation packages for full-time employees, including a base salary, stock options, and comprehensive benefits. Compensation will vary based on experience and expertise. The annual salary range for this position is between $160,000 and $250,000. We also provide relocation assistance for eligible candidates.

Skydio stands at the forefront of the drone industry, recognized as the leading American company and a global innovator in autonomous flight technology. Our mission is to revolutionize aerial mobility through cutting-edge artificial intelligence, advanced hardware, and exceptional software development. At Skydio, we are dedicated to creating solutions that empower a diverse array of users—from utility inspectors and first responders to soldiers in challenging environments.About the Role:As a Senior Engineer within the Autonomy Data Curation team, you will play a pivotal role in developing our data flywheel. Your expertise will be crucial in gathering essential data from various drone fleets and transforming it into high-quality, model-ready datasets for our Autonomy teams. You will collaborate closely with the Deep Learning and Computer Vision teams to ensure swift and confident data utilization for training and model development.This position is an individual contributor role, reporting directly to the Director of Autonomy Data Curation.How You’ll Make an Impact:Create and manage efficient pipelines that convert raw autonomy logs and media into well-curated datasets, ensuring strong observability and clear ownership, facilitating broad data reuse.Develop tools for rapid data discovery and self-service slicing for Autonomy teams, including media search functionalities and hard mining loops with infrastructure for automated data routing to annotation.Enhance dataset quality and repeatability through effective versioning, provenance tracking, and automated validations.Implement privacy and security measures throughout our processes, including access controls, data retention policies, and redaction/anonymization techniques.Adopt a data-driven and impact-oriented approach, utilizing dashboards to highlight costs, dataset balance, and audit details.What Makes You a Good Fit:Minimum of 5 years of professional software engineering experience (or equivalent), with significant responsibility for production systems.Proficient in programming, with expertise in at least one of our primary languages (Python/C++).Hands-on experience in building data pipelines for large-scale datasets (ETL/ELT, streaming or batch processing, orchestration).Experience in data modeling, schema evolution, and dataset/version management.Strong understanding of reliability engineering principles, including monitoring, observability, and incident management.

Skydio stands as the premier drone company in the United States and the global frontrunner in autonomous flight technology, which is pivotal for the advancement of drones and aerial mobility. Our team is comprised of experts in artificial intelligence, exceptional hardware and software product development, operational excellence, and an unwavering commitment to customer satisfaction, enabling a diverse range of drone users, including utility inspectors, first responders, and military personnel.About the Role:At Skydio, we are focused on significant technological investments in autonomy that lead to innovative products. We are in search of exceptional engineering leaders to expand our autonomy team and realize Skydio's ambitious vision. Our compact team possesses remarkable technical prowess in addressing intricate algorithmic challenges, and we seek to grow to seize forthcoming product opportunities. You will oversee one or more critical areas, including core drone platforms, software architecture, simulation, SDK, object detection, mapping infrastructure, situational awareness, computational photography, and state estimation. Your responsibilities will include managing the execution of the product and technology roadmap, as well as hiring, mentoring, and leading infrastructure investments crucial to our success. We welcome applicants with a diverse range of experiences, from tech leads to senior directors passionate about our mission.Your Impact:Utilize product insights, robotics expertise, and high-quality software engineering to introduce cutting-edge autonomy technology to the market.Achieve complex cross-team objectives by collaborating with product management, embedded systems, mobile, cloud, hardware, and flight test teams, emphasizing outstanding communication.Recruit and mentor top-tier engineers to scale our team effectively.Apply your experience and best practices to maintain and enhance Skydio's engineering standards.Qualifications:Proven hands-on technical leader with substantial software engineering experience.Comprehensive understanding of robotics, computer vision, and software systems.Demonstrated leadership, management, recruitment, team building, and communication capabilities.Strong foundation in 3D geometry, mathematics, and linear algebra.Experience with hardware is advantageous but not mandatory.A passion for constructing flying robots and achieving remarkable feats with them.

Skydio stands at the forefront of the drone industry in the US, recognized globally as a leader in autonomous flight technology, which is pivotal for the future of aerial mobility. Our team is composed of experts in artificial intelligence, cutting-edge hardware and software development, operational excellence, and a strong dedication to customer satisfaction. We empower a diverse range of drone users, including utility inspectors, first responders, and military personnel, among others.About the Role:As an Autonomy Engineer, your primary focus will be the development and execution of the core planning and control systems for Skydio’s F10 tailsitter platform. This role presents unique challenges, as the F10 must operate reliably across various aerodynamic regimes while addressing the complexities of faster vehicle dynamics.Your Impact:Design, implement, simulate, and flight test innovative motion planning strategies.Create, refine, and evaluate new flight control systems.Analyze and enhance the aerodynamic and dynamic models of tailsitter aircraft using both simulated and actual flight data.Contribute to hardware design by defining sensor requirements and control authority through rigorous simulation and analysis.Step outside your comfort zone to assist in various areas of the engineering stack as needed.Your Qualifications:Proficient in C++ and Python, particularly in real-time applications.Experience in deploying software that controls physical hardware, such as aircraft, drones, and robotic systems.Solid understanding of aircraft and rotorcraft dynamics.Familiarity with non-linear optimization techniques.Knowledge of modern and classical control theories and practices.Strong foundations in software engineering with a commitment to producing clean, maintainable, and readable code.Experience working collaboratively within a larger codebase.Compensation:At Skydio, we offer competitive salary packages, stock options, and comprehensive benefits for our regular full-time employees. Salary will vary based on skill level, expertise, transferable knowledge, and experience. Relocation assistance may be available for eligible candidates.

Skydio stands as the premier drone company in the United States and a global leader in autonomous flight technology, which is crucial for the evolution of drones and aerial mobility. Our team merges profound expertise in artificial intelligence with exceptional hardware and software development, operational excellence, and a relentless focus on customer satisfaction. We strive to empower a wide and diverse spectrum of drone users, ranging from utility inspectors and first responders to military personnel in challenging environments.About the Position:We are seeking passionate interns for our Summer 2026 program. If you possess a solid understanding of mathematics, theoretical concepts, and software development, and are eager to contribute to the advancement of innovative autonomy algorithms in real-world applications, we want to hear from you. You will collaborate closely with our core software development team and take on ownership of a project that significantly enhances the capabilities of our planning, controls, and product engineering teams.Your Impact:Facilitate rapid R&D of intelligent systems exhibiting groundbreaking autonomous features.Conduct research, prototype, and evaluate the feasibility of novel approaches.Conceptualize and implement innovative features that deliver exceptional value to our users.Analyze and quantify the performance of essential software and hardware components.Qualifications:Demonstrated enthusiasm in one or more areas such as motion planning, dynamics and controls, 3D graphics, computer vision, deep learning, distributed systems, or mobile infrastructure.Strong foundation in software engineering with a commitment to producing clean, well-architected code.High proficiency in C++ and/or Python programming languages.Ability to excel in a fast-paced, collaborative team environment.Compensation: The hourly wage for this position is $47 for undergraduate students and $53 for graduate students. Compensation may vary based on skills, proficiencies, and experience.

Skydio is a pioneering force in the drone industry, recognized as the leading autonomous flight company in the United States and globally. Our team merges advanced expertise in artificial intelligence with cutting-edge hardware and software development, operational excellence, and an unwavering commitment to customer satisfaction. We empower a diverse range of drone users, from utility inspectors and first responders to soldiers in complex battlefield situations.About the Role: We are in search of a skilled Software Engineer to spearhead the development of innovative tools that enhance the autonomy lifecycle. In this role, you will be responsible for creating and refining essential internal platforms that enable engineers to test new concepts, analyze system behaviors, and comprehend intricate interactions between software and the physical environment.Your work will encompass both backend systems and front-end visualization, necessitating a strong foundation in software design, developer experience, and a genuine passion for empowering others through effective tooling. The systems you develop will be utilized daily by autonomy developers, test engineers, and various stakeholders throughout the organization.Areas of Responsibility:Design and construct robust replay and analysis systems that allow engineers to inspect and replicate recorded autonomy behaviors with detailed control over system states, perception outputs, and decision-making processes across the entire stack.Develop scalable infrastructure for automated testing and failure triage, enhancing our simulation and log-driven test coverage while expediting root-cause analysis through automated log processing and diagnostics.Collaborate at the intersection of autonomy software and core robotics middleware, establishing clear APIs, data contracts, and performance benchmarks for messaging, state propagation, and inter-subsystem coordination, while partnering closely with downstream teams to facilitate their implementation and integration.Create and implement high-quality developer infrastructure and tools that emphasize reliability, performance, and usability, fostering rapid iteration, safe experimentation, and sustained productivity across the autonomy division.What You’ll Do:Lead the design and execution of scalable tools utilized throughout autonomy development and testing workflows.Engage with autonomy, QA, and infrastructure teams to gather requirements, prioritize tasks, and deliver impactful solutions.

About zaimlerAt zaimler, we recognize that AI agents struggle to make decisions based on fragmented data. Today’s enterprise data is scattered across numerous systems, lacking shared context and structure, which contributes to the challenges faced in enterprise AI. As we transition from copilots to fully autonomous agents, we're establishing a revolutionary infrastructure layer to support this evolution.zaimler serves as the foundational context infrastructure for the agentic era. Our platform autonomously uncovers domain knowledge, maps intricate relationships, and equips AI agents with the semantic understanding necessary for precise operations at scale. Envision knowledge graphs that facilitate real-time inference, designed specifically for systems that require reasoning capabilities, rather than mere data retrieval.Founded by industry veterans Biswajit Das and Sofus Macskassy, zaimler is a small yet highly skilled team at the seed stage, collaborating with major enterprises across sectors such as insurance, travel, and technology. If you aspire to develop the infrastructure that will underpin the next decade of AI advancements, we invite you to join our journey.About the RoleWe are in search of a Senior Machine Learning Engineer to enhance our dynamic team, ideally based in the Bay Area or open to relocation. The perfect candidate will possess strong expertise in one or more of the following areas: Knowledge Extraction, Natural Language Understanding, Unsupervised Learning, Information Retrieval, and Fine-tuning Large Language Models (LLMs). In this pivotal role, you will be instrumental in developing and training the models, pipelines, and methodologies that drive our semantic graph systems. We seek an individual with a robust background in machine learning, natural language processing, LLMs, and semantic technologies, along with a proven history of managing complex, large-scale machine learning projects.

Join Skydio, the premier US drone manufacturer and global leader in autonomous flight technology, which is pivotal for the future of drones and aerial mobility. Our team is a blend of experts in artificial intelligence, top-tier hardware and software development, operational excellence, and a strong focus on customer satisfaction. We empower a diverse range of drone users, from utility inspectors to first responders and military personnel in critical scenarios.About the Position:As an Autonomy Software Engineer, you will play a crucial role in enhancing our autonomy system's capabilities and reliability for our clientele. Your responsibilities will encompass the full cycle of developing new autonomous functionalities and deploying them to address various applications such as inspection, mapping, drone-as-first-responder (DFR), security, and improving situational awareness. These initiatives represent groundbreaking real-world applications of autonomous robots delivering significant value across critical industries.Your Impact:Collaborate closely with cross-functional teams in vision, planning & controls, deep learning, infrastructure, embedded systems, cloud, mobile, design, product, and flight testing to create advanced autonomous capabilities.Develop foundational robotics algorithms to enhance our autonomous operations in challenging conditions, including night-time, urban environments, areas with GNSS and C2 interference, maritime settings, and inclement weather.Address customer issues, identify trends, and swiftly enhance system resilience against field failures.Investigate investments in both simulated and real-world testing infrastructure.Gain a thorough understanding of core robotics principles alongside comprehensive knowledge of our system's functionality.Contribute across the software stack as needed, ensuring top-tier code quality and proactively managing technical debt.Invent, design, implement, simulate, assess, and execute new motion planning strategies to enhance our capabilities and customer satisfaction.Ideal Candidate Profile:A minimum of 1 year of experience in writing production-level code for autonomous robots, ideally for aerial systems, with strong proficiency in C++ and Python.Hands-on experience implementing cutting-edge algorithms in robotics-related domains, including computer vision, state estimation, and motion planning.

At Roblox, millions of individuals engage daily to explore, create, play, learn, and connect with friends in immersive 3D digital experiences crafted by our global community of developers and creators.We are dedicated to building tools and platforms that empower our community to realize their imaginative experiences. Our vision is to transform how people connect from anywhere in the world and on any device. Our mission is to unite one billion people with optimism and civility, and we are seeking exceptional talent to help us achieve this goal.Joining Roblox means you will play a pivotal role in shaping the future of human interaction, tackling unique technical challenges at scale, and contributing to the creation of safer, more civil shared experiences for all.The Rights Manager and Content Suitability teams, part of our Safety Experience, are in search of a Senior Machine Learning Engineer.The Safety Experience organization develops tools and systems that empower Roblox users and creators to control their experiences while enabling moderators to uphold our community standards. Our focus includes education, intervention, visibility, and action.Our initiatives include:Monitoring and influencing user behavior for enhanced safety.Building scalable and efficient moderation platforms.Providing transparency and educational resources for parents and developers.Empowering users to manage their own safety.Allowing IP owners to manage their creations on Roblox.Delivering quick and accurate support through our Customer Care Chatbot.Your responsibilities will include:Implementing machine learning solutions for safety-focused systems.Promoting a culture of technical excellence and inclusivity.Breaking down long-term product requirements into actionable phases for continuous improvement.Designing and building large-scale machine learning models with billions of parameters, ensuring they are production-ready.Facilitating complex technical decisions with empathy and foresight.

Roblox is a dynamic platform where millions engage daily to explore, create, and connect within immersive 3D digital experiences crafted by our global community of developers and creators.We are dedicated to building tools and a platform that empower our community to transform their imaginative ideas into reality. Our vision aims to revolutionize the way people connect, enabling interactions from anywhere in the world and on any device. Our mission is to connect a billion people with positivity and respect, and we are in search of exceptional talent to help us achieve this goal.Joining Roblox means you will be at the forefront of shaping the future of human interaction, tackling unique technical challenges at scale, while enhancing safety and civility in shared experiences for everyone.As the number of daily active users on Roblox continues to surge, we are looking for skilled machine learning engineers who excel in solving complex problems and designing scalable, innovative solutions. In this pivotal role, you will create deep learning models for our performance advertising business, establishing the groundwork for effective ads that benefit our users and deliver significant value to our advertisers.You'll be tasked with developing cutting-edge machine learning solutions that enhance ad ranking algorithms and create personalized advertising experiences. As our advertising system is still evolving, this role presents a unique chance to shape and build a world-class ML-driven advertising platform from the ground up.

At Roblox, our platform allows millions of users to explore, create, and connect in immersive 3D experiences crafted by our diverse community of developers. Every day, players from around the globe engage in imaginative play and learning, and we are dedicated to empowering them with the tools they need to bring their visions to life.Our mission is to foster a connected world, inspiring a billion people to engage with optimism and respect. We are seeking exceptional talent to join us on this journey, shaping the future of human interaction and tackling unique challenges at scale to create safe, enjoyable shared experiences.As a Senior Machine Learning Engineer at Roblox, you will tackle complex problems using cutting-edge AI and machine learning technologies to innovate the experiences of our growing user community. We are looking for leaders in AI and ML to spearhead the development of cost-effective machine learning solutions, guiding the design of essential components for on-device ML operations. Your work will focus on enhancing model architectures, facilitating efficient deployment to cloud and client systems, and managing sophisticated tasks such as Generative AI model deployment. You will play a key role in optimizing architectures across a variety of compute devices, making the best use of available resources. Join us in our exciting journey!

Join Roblox as a Senior Software Engineer, specializing in Machine Learning Infrastructure. In this role, you will be a key player in designing and developing robust ML systems to enhance our gaming platform. You will collaborate with cross-functional teams to implement scalable solutions that elevate user experiences. Your expertise will directly influence the future of gaming at Roblox.