Computer Vision Jobs

NVIDIA is seeking strategic, ambitious, hard-working, and creative individuals for their 2027 Autonomous Vehicles and Robotics internships. This 12-week full-time program offers an excellent opportunity to expand your career and gain hands-on experience with industry-leading teams. Interns will work on projects with a measurable business impact, contributing to NVIDIA's pioneering work in AI and digital twins that is transforming major industries.

$0k - $0k

NVIDIA is seeking an extraordinary Senior Perception Engineer to develop and productize autonomous driving solutions. This role focuses on creating end-to-end perception modules responsible for understanding traffic signals, signs, road markings, and construction objects, crucial for driving without reliance on HD maps. The goal is to enhance the robustness, accuracy, and efficiency of these solutions to enable autonomous driving in all conditions. You will be instrumental in designing perception systems, applying deep learning for various traffic-related tasks, developing generalizable approaches for diverse driving scenarios, and driving data-driven development by collaborating with data collection and labeling teams. Leveraging data simulation and augmentation will be key to solving extreme scenarios, and you will be responsible for productizing these solutions to meet stringent safety, latency, and software robustness requirements.

$184k - $357k

NVIDIA is seeking a Senior Synthetic Data Engineer to join the DRIVE team and contribute to automotive innovation. This role involves collaborating with technical leaders in autonomous driving and simulation to design and develop a simulation environment that advances autonomous vehicle technology. The position focuses on creating synthetic data crucial for training deep learning models used in autonomous driving systems, enhancing the reliability and speed of vehicle development through advanced simulation techniques.

$184k - $357k

Figure is an AI robotics company developing autonomous general-purpose humanoid robots with the goal of shipping robots with human-level intelligence for home and commercial markets. You will be working within a small but impactful XR team, contributing to critical projects that involve debugging XR applications and running hardware experiments on robots. This role is ideal for someone who thrives on variety and can move quickly without a predefined playbook.

$200k - $400k

Descript's Research team focuses on building specialized models for specific editing workflow problems, aiming to ship them as production features used by millions of creators. This role is centered on multimodal understanding, developing models that perceive edited media like a human video editor. The goal is to enhance Descript's AI editing agent, Underlord, by enabling it to directly perceive media, judge its own output, and reason about creative choices beyond just project structure. This is an open research problem with a unique dataset available.

$197k - $263k

CHAOS Industries is seeking a highly motivated, mission-oriented Applied AI Engineer to help develop, integrate, and deploy AI/ML-powered capabilities across its product lines. This role involves working closely with data scientists, software engineers, product teams, and mission stakeholders to conduct advanced AI research and translate it into reliable, real-world software, with a particular focus on defense applications requiring extreme accuracy under constrained, adversarial, and complex operational conditions. The ideal candidate possesses strong data science and software engineering fundamentals, a track record of technical excellence, and demonstrated experience applying AI/ML techniques to real products, with a strong plus for experience in aerospace, defense, critical infrastructure, robotics, RF systems, or other highly regulated or mission-driven environments. Comfort with operating independently, quickly learning new technical domains, collaborating across teams, and moving prototypes toward production with limited oversight is essential.

$140k - $193k

NVIDIA is seeking a Senior MLOps Engineering Manager to lead the build, development, and operation of large-scale, end-to-end data and ML pipelines that power the company's autonomous driving products. This role involves leading a highly technical engineering team responsible for building and operating cloud-scale pipelines that ingest, validate, process, and transform multimodal sensor data into high-quality training, evaluation, and validation datasets. These pipelines are foundational to the autonomous vehicle program and directly enable customer-facing autonomy features. The ideal candidate will be a seasoned engineering leader with strong ownership and a passion for customer-focused development, capable of scaling systems and teams in a fast-paced, multi-functional environment.

$272k - $431k

Applied Intuition is seeking a Senior Machine Learning Engineer to advance the core reconstruction technology behind their Neural Simulation product. This role involves transforming real-world driving data into high-fidelity simulation environments, pushing the boundaries of reconstruction quality, scaling data processing, and enhancing product utility for customers training autonomy systems. The engineer will directly influence the development of next-generation autonomous vehicles for major OEMs, working at the intersection of 3D computer vision, graphics, and machine learning to bring cutting-edge research into production and solve complex simulation challenges in Physical AI.

$190k - $260k

We are seeking senior machine learning engineers to advance the generative modeling technology behind our Neural Simulation product. This role involves pushing the boundaries of diffusion and video generation models to create realistic, controllable sensor data and augment real-world logs with new scenarios. Your work will directly influence the development of next-generation data-driven autonomous vehicles for leading OEMs. This position is ideal for engineers passionate about the intersection of generative modeling, computer vision, and machine learning, who are eager to bring cutting-edge research into production and address complex simulation challenges in Physical AI.

$185k - $260k

Our team is building the machine learning backbone of the Perception component for NVIDIA DRIVE AV, focusing on solving complex problems for self-driving cars. We are seeking experienced Machine Learning Engineers with expertise in computer vision, LiDAR & camera perception, multi-sensor fusion, and AI infrastructure. The role involves inventing human-level AI for perception under real-world conditions, contributing to a defining technological advancement of our generation.

$184k - $357k

NVIDIA is seeking a Senior Perception Engineer to design and productize the next generation of autonomous driving perception systems. This role focuses on the core 3D obstacle perception pipeline, involving architecture and algorithm design, with a hands-on approach to implementation using modern transformer-based, multi-modal, and vision-language techniques. You will contribute to the development of state-of-the-art deep learning models for obstacle detection and tracking, leveraging multi-camera and multi-sensor fusion. The position requires defining objectives, prototyping architectures, running experiments, and adhering to best practices for training and evaluation, including techniques like large-scale pretraining and parameter-efficient fine-tuning. You will also help define and maintain performance metrics, analyze large datasets to identify failure modes, and contribute to the data strategy for perception, including model-assisted workflows and model-in-the-loop tooling. Collaboration with safety, systems, and software teams is essential to ensure solutions meet product requirements for safety, latency, resource usage, and robustness for large-scale deployment.

$184k - $357k

NVIDIA is seeking a Principal Perception Engineer to lead the design and productization of next-generation autonomous driving perception stacks. This senior individual contributor role involves setting technical direction for 3D obstacle perception, driving cross-functional execution, and mentoring engineers. The role requires deep hands-on involvement in architecture, algorithms, and implementation, with a focus on modern transformer-based, multi-modal, and vision-language techniques. The goal is to build intelligent machines that can perceive, reason, and solve complex problems using GPU-accelerated deep learning.

$272k - $431k

At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system, extracting 3D object and line features from dense LiDAR point clouds and imagery. This product-focused role involves working closely with customers to develop Computer Vision/Machine Learning pipelines and workflows that solve their problems. You will be responsible for shipping new features and product lines end-to-end, from data strategy and model training to evaluation. This position is ideal for early-career engineers who learn quickly, are curious, and find satisfaction in shipping impactful products.

$180k - $300k

Faire is seeking a Senior Applied AI/ML Scientist to join the Listing Quality team. This role will focus on developing and implementing algorithmic solutions to revolutionize the wholesale industry by improving product catalog content. You will be responsible for the modeling and measurement of product images, titles, descriptions, and attributes, leveraging multi-modal deep learning and LLMs to enhance product discoverability and sales. This is a high-impact position where you will drive projects end-to-end, from problem framing to production and measurement, working with unstructured data to solve challenging marketplace problems.

$211k - $291k

Faire is seeking a Senior Applied AI/ML Scientist to join their Marketplace Quality team. In this role, you will be responsible for developing and implementing algorithmic solutions to ensure the trustworthiness of Faire's marketplace for brands and retailers. This involves matching Faire's catalog against external data, detecting pricing and policy violations, and optimizing actions based on finite resources. You will work with structured and unstructured data, employing techniques like entity resolution, information extraction, multi-modal LLMs, and constrained optimization. The position requires driving projects from conception to production and measurement, in close collaboration with product, engineering, and operations teams.

$211k - $291k

Eventual is building data curation for Physical AI, processing petabyte-scale video and sensor data to extract signals about how hands and objects interact, temporal events, and clip reliability for training frontier models. We are a small, well-backed team from leading tech companies, aiming to revolutionize how Physical AI models are trained by providing reliable, curated datasets derived from vast amounts of video footage. This role is based in our SF Mission District office, with a 4-day work week. As Technical Lead, Multimodal Research, you will drive the technical vision for Eventual's understanding of video data. You will own the strategy for selecting, prototyping, and deploying models and representations at scale, ensuring they meet rigorous evaluation standards and cost-efficiency targets. This is a senior individual contributor role focused on setting research direction and making key architectural decisions, while remaining hands-on with research and experimentation.

$150k - $300k

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Vision team is seeking a research engineer to focus on visual and spatial reasoning as core capabilities for LLMs. This role involves owning the end-to-end process of creating training data and RL environments for visual knowledge work. You will identify tasks, build evaluations, design rewards, and scale data, combining applied research with hands-on data work. Collaboration with external vendors, pretraining, RL, and product teams is essential to ensure the environments built translate into real-world knowledge work capabilities.

$350k - $850k

Roboflow Labs is seeking a Research Scientist to join their applied research unit. This role sits at the intersection of benchmarks, models, and frontier labs, focusing on failure analysis, dataset specification, and validation of data quality. The scientist will contribute to publishing new benchmarks, extending existing ones like RF100-VL, and shaping the research agenda with work grounded in real-world deployments. This position offers the opportunity to see research directly translate into shipped data products and influence the direction of AI development.

$250k - $450k

Applied Intuition is seeking a Systems Engineer to join their team and play a critical role in defining system requirements, designing architectures, and integrating the company's technology onto autonomous vehicles and defense systems. This role blends systems engineering, robotics, software deployment, architecture, integration, and real-world testing. You will work in both office and field environments, dedicating significant time to deploying, testing, and validating software on autonomous systems in dynamic, operationally relevant settings. Collaboration with software engineers, autonomy engineers, perception teams, data scientists, and field operators will be key to ensuring systems are robust, reliable, and ready for deployment.

$140k - $180k

Applied Intuition is building a robot learning platform to enable any robot to learn industrial tasks and continuously improve. The robotics team develops this platform and uses it to deliver robot autonomy on customer lines, training, evaluating, and deploying policies on real robots performing industrial tasks. This role involves hands-on work with hardware, seeing your contributions reach customers, and working on manipulation policies from task definition to reliable execution on a physical robot. You will train and fine-tune policies, diagnose failures, and ensure their dependability for customer use, with success measured on the robot itself.

$150k - $300k