Computer Vision Jobs

Sieve is a multi-modal lab focused on curating high-quality training datasets across video, audio, images, text, and 3D, aiming to solve the bottleneck in the growth of AI applications. As a perception-focused Machine Learning Engineer, you will build systems that transform raw sensor footage into training data crucial for robotics and world-model teams. This role requires a strong background in computer vision, particularly in shipping perception systems for robots, devices, or autonomous vehicles, and applying these skills to massive datasets.

NVIDIA is seeking an experienced software engineer to help build NVIDIA AI for Media SDKs, a GPU-accelerated platform delivering AI-powered video, audio, and augmented reality capabilities for developers building media, content creation, and broadcast workflows. You will develop and optimize AI software across cloud and embedded platforms while advancing the build, validation, and delivery infrastructure behind our SDKs. This role combines strong C++ systems engineering, Linux expertise, accelerated inference, and software delivery automation. You will collaborate with algorithm, platform, infrastructure, and QA teams to deliver efficient, reliable software on NVIDIA hardware.

$184k - $357k

NVIDIA is seeking a creative and expert Systems Engineer to join its Automotive Vehicles team and contribute to the expansion of NVIDIA's autonomous vehicle solutions. This role involves a focused effort on productizing groundbreaking perception solutions that will redefine transportation and the self-driving car industry. You will collaborate with a global team of systems engineers, AI applied researchers, and software engineers to build world-class perception, mapping, and localization solutions, ensuring adherence to all NVIDIA and automotive standards and guidelines. The work is described as exciting, fun, and relevant, offering an opportunity to make a lasting impact.

$184k - $357k

Sieve is seeking its first Robotics Researcher to lead the training and evaluation of world-action models (WAMs) and 3D perception systems. This role focuses on understanding how data shapes robot capabilities, connecting data curation and labeling to measurable gains in robot learning. You will manage projects from inception to completion, identifying model shortcomings, determining data needs, setting up experiments, and testing results on unseen tasks and environments. A significant portion of this work involves 3D, transforming raw multimodal and egocentric video into actionable data for robot learning by incorporating geometry, pose, and action. Simulation will be used as a tool for evaluation and augmentation when beneficial, but not as the primary focus.

Scale AI

Scale is seeking a Senior Machine Learning Engineer to own the application of generative AI, agentic AI, computer vision, and reinforcement learning to mission-critical production problems. In this role, you will tackle challenges without established solutions, proposing and building architectures, and ensuring their performance in customer-dependent environments. The Public Sector Machine Learning team focuses on deploying advanced models to government systems, with a primary emphasis on agentic systems built on large language models. This includes developing agents for complex operational and planning tasks, integrating retrieval pipelines and production APIs, managing state for long-running tasks, performing geospatial reasoning, and creating evaluation tooling. The role also involves applying reinforcement learning and computer vision for defense applications, including evaluation, labeling efficiency, and multimodal model training. As a Senior MLE, you will have design authority over a capability area, making final decisions on team patterns and ensuring they function under real-world constraints like classified environments, limited compute, and strict correctness requirements.

$235k - $294k

Scale AI

The Machine Learning Engineer role at Scale focuses on applying advanced techniques in generative AI, computer vision, reinforcement learning, and agentic AI to enhance production environments for Scale's products and customer experience. Leveraging robust internal infrastructure and extensive datasets, ML engineers drive product improvements. The Public Sector team specifically deploys cutting-edge models for mission-critical government systems, working with large language models and computer vision. This includes developing agentic systems for complex challenges, building agent frameworks, and creating evaluation tools. Efforts also involve advancing reinforcement learning for LLMs and training advanced computer vision models for defense applications, including large-scale fine-tuning and developing generalizable foundation models.

$235k - $294k

The Robotic Visual Perception and Learning research group at NVIDIA is seeking highly motivated PhD students for research internships. This role focuses on pushing the boundaries of computer vision, robotics, and machine learning with real-world impact. Interns will have the opportunity to publish their work in top-tier conferences and collaborate with experienced mentors, with carefully crafted projects tailored to their expertise.

$0k - $0k

Salesforce AI Research is seeking entrepreneurial Research Interns for Summer 2027 to help build the next generation of Enterprise AI. This is a unique opportunity to work like a founder within Salesforce, exploring high-impact research directions, prototyping cutting-edge AI capabilities, and seeing how ideas are validated with customers and turned into production-ready solutions. Interns will have the freedom to propose and explore new ideas alongside mentors and research scientists, with access to Salesforce's global customer and product ecosystem. The role is ideal for individuals comfortable with ambiguity, bringing energy and focus, and who care as much about customer adoption as technical innovation, offering the pace and ownership of a startup with the reach and resources of Salesforce.

Applied Intuition Defense is seeking a Perception Engineer to join their expert team, focusing on advancing perception model performance across various domains including maritime, land, and air-to-surface. This role involves developing custom detector and classifier architectures, leveraging proprietary MLOps tooling for rapid iteration on large datasets, and utilizing frontier AI and extensive token budgets. The position requires building and optimizing perception models for high accuracy and real-time performance on edge devices, as well as contributing to the entire perception stack from labeling tools to simulation. Collaboration with a world-class AI talent pool and scaling datasets through advanced generation techniques are key aspects of this hands-on, full-stack position.

$125k - $175k

NVIDIA is seeking a PhD intern to join the Deep Learning Efficiency Research (DLER) team, focusing on research that pushes boundaries and has real-world impact. The team's core areas include efficient diffusion language and multimodal generative models, as well as efficient agentic AI with hybrid inference orchestration. We are also interested in post-training model optimization, efficient architecture design, adaptive inference, and resource-efficient training and finetuning. You will collaborate with a research team that consistently publishes at top venues, contributing to technologies that can impact NVIDIA's products.

$0k - $0k

NVIDIA is seeking outstanding Research Interns to join the Data-Driven AI for Robotics (DAIR) group, focusing on learning embodied skills from large-scale human data. The objective is to develop AI systems that can capture, understand, and reproduce complex human motion and interaction skills across physical and digital embodiments, including humanoid robots and animated characters. This research spans the full stack, from reconstructing human motion and interactions from video to generating controllable character behaviors, transferring motion across embodiments, and training grounded controllers for robots and virtual characters. Interns will collaborate with a supportive research team producing influential work and have opportunities to connect with product teams across NVIDIA.

$0k - $0k

NVIDIA is seeking a world-class generative AI intern to join the Fundamental Generative AI research team. This role focuses on pushing the boundaries of generative models for various data types including image, video, 3D, graph, and multimodal data, with applications in science such as drug discovery and climate modeling. The intern will collaborate within a research team known for top-tier machine learning publications and contribute to impactful, real-world advancements.

$0k - $0k

NVIDIA's Seattle Robotics Lab is seeking PhD-candidate interns to contribute to cutting-edge research in robotics and AI. This role offers a unique opportunity to work at the intersection of academic research and industry impact, focusing on the full robotics stack from perception to foundation models. Interns will play a pivotal role in developing algorithms, integrating methods into real-world systems, and contributing to high-impact publications and code releases. The lab has a strong track record of influential research and has significantly impacted NVIDIA's robotics and simulation products.

$0k - $0k

NVIDIA is seeking an exceptional computer vision and deep learning intern researcher for its spatial intelligence lab. The team focuses on research that pushes boundaries and has real-world impact. Interns will engage in research, design, and implementation of methods related to key topics such as generative AI for videos, reconstruction, simulation, video understanding, policy learning, reinforcement learning, and vision-language models. A significant outcome of the internship is the publication of original research, alongside collaboration with internal and external researchers.

$0k - $0k

Join the Autonomous Vehicle (AV) Applied Research team to advance safe autonomy using generative world models and synthetic data. This internship offers the chance to collaborate with researchers and engineers on next-generation models for understanding, simulating, and reasoning about complex driving environments. We seek a motivated intern with a strong machine learning background and interest in generative world models, multimodal foundation models, and synthetic data generation. The team works closely with NVIDIA Research and the AV organization to develop scalable methods for training, evaluating, and improving autonomous systems, focusing on generative video and world models, controllable scenario generation, multimodal learning, end-to-end driving, 3D computer vision, and data-centric learning. The goal is to use generative models to create diverse, safety-critical driving experiences that enhance the robustness and generalization of autonomous systems.

$0k - $0k

NVIDIA is developing advanced foundation models and generative AI systems for Physical AI applications, including robotics, autonomous driving, smart spaces, and embodied agents. The NVIDIA Cosmos Platform facilitates multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are seeking talented PhD interns to contribute to the advancement of Physical AI and world models.

$0k - $0k

NVIDIA is developing world foundation models and generative AI systems for Physical AI applications, including robotics, autonomous driving, smart spaces, and embodied agents. The NVIDIA Cosmos Platform facilitates multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are seeking talented PhD interns to contribute to advancements in Physical AI and world models. This role involves conducting research, developing algorithms, training and evaluating large-scale models, collaborating with cross-functional teams, and publishing research findings.

$0k - $0k

NVIDIA is seeking interns for the Learning and Perception research team to work on embodied and agentic AI, including areas like perception, agentic reasoning, multi-modal and continual learning. This role offers the opportunity to contribute to research that pushes boundaries and has real-world impact, with a collaborative team environment and experienced mentors. Internship projects are tailored to match interns' expertise, and past interns have a strong track record of publishing at top venues and often return for subsequent internships.

$0k - $0k

NVIDIA Research's Human Performance and Experience (HPX) team is seeking passionate individuals for a PhD Research Intern position focused on cross-disciplinary vision science between humans and machines. This role involves collaborating with research scientists, engineers, and product engineers to address real-world problems at the intersection of computer vision, human vision science, and robotic vision. The internship offers an opportunity to contribute to AI innovation and shape the future of human-AI interaction.

$0k - $0k

NVIDIA Research is seeking PhD interns for the AI-Aided Engineering (AIE) team. This role involves developing novel AI methods for physical simulation and engineering design, with a focus on neural operators, geometric representations, and large-scale learning. Interns will work with experienced mentors on impactful research, with opportunities to publish in leading conferences and journals. Projects will be tailored to interns' expertise, aiming to advance the field and transfer research into practical applications.

$0k - $0k