Top Computer Vision Jobs in San Francisco Bay Area, CA

Develop and deploy computer vision and multimodal models for document understanding, transcription, and verification. Responsibilities include model training, evaluation, production deployment, monitoring, scaling, edge optimization, and building robust evaluation frameworks. The role involves collaborating with infrastructure and product teams, analyzing production failures, and improving model accuracy, efficiency, privacy, and reliability across large-scale applications.

Build and improve a scan-to-BIM pipeline that converts point-cloud capture data into accurate, structured 3D BIM models. Responsibilities include model creation, mesh generation, data structuring, IFC and 3D-tool usage, and applying computer vision to automate 3D reconstruction. The role requires construction knowledge and hands-on experience with detailed 3D projects, with occasional quarterly onsite gatherings in San Francisco.

Design and implement real-time computer vision algorithms for autonomous drones, including estimation, mapping, tracking, classification, and detection. Research and prototype new approaches, optimize systems for computationally constrained environments, measure vision-system performance, and contribute to software engineering across the platform. The role requires expertise in visual odometry, state estimation, mapping, SLAM, probabilistic inference, 3D geometry, deep learning, and high-proficiency C++.

Research and productionize 3D computer vision and spatial intelligence pipelines for simulation and training applications. Responsibilities include 3D reconstruction, segmentation, feature embeddings, multimodal model integration, scene-graph generation, GPU-accelerated training and inference, synthetic-data workflows, performance profiling, and deployment across cloud and edge environments. The role collaborates with graphics and product engineers to convert advanced research into reliable real-time capabilities.

Architects and deploys multimodal 2D/3D object detection and tracking models using camera, LiDAR, and radar data. Owns perception data collection, dataset development, evaluation pipelines, production monitoring, and the perception system roadmap. The role also requires cross-functional leadership and mentoring junior engineers.

Develop computer-vision methods for detecting and tracking insects in behavioral-assay videos. Build labeled datasets, evaluation metrics, video-processing pipelines, confidence estimates, visual overlays, and quality-control tools. Derive interpretable behavioral measurements and collaborate with entomologists, laboratory teams, and software engineers to improve imaging standards, annotations, and scientific reliability.

Join Pakket to develop computer vision systems for warehouses, deploying solutions and shaping both product direction and company goals. You'll work hands-on with real-world operations.

Conduct research and engineering on multimodal AI, focusing on visual perception, vision-language interaction, model architectures, large-scale datasets, evaluation benchmarks, and distributed training. The role involves designing experiments, analyzing model performance, collaborating across research and product teams, publishing findings, and contributing high-performance code to frontier multimodal systems.

Build and deploy computer vision and machine learning perception systems for a distributed robotic fleet. Responsibilities include object detection, depth estimation, localization, simulation and sim-to-real validation, vision data pipelines, camera and ToF calibration, on-device model optimization, and integration with motion and safety systems. The role also includes technical leadership, design documentation, code reviews, mentoring, and cross-functional collaboration with robotics, sensing, software, controls, and safety teams.

Technical leader for CV User Experience building end-to-end mobile and backend systems. Architect and scale TrueMotion-driven features, improve observability and performance, mentor engineers, lead architecture, and deliver high-quality, performant mobile experiences integrating computer vision and generative AI tooling.