Develop and deploy advanced computer vision models for player tracking and performance analytics across multiple sports. Build high-performance data pipelines and drive R&D initiatives including 3D pose tracking and LLM integration.
Remote Computer Vision Engineer Jobs (33)
Search = Computer Vision Engineer
Develop and improve computer vision models for sports video intelligence, focusing on detection, tracking, and event understanding. Own the full experimentation loop from hypothesis and training to evaluation and productionization.
Senior Computer Vision Engineer, Real-Time 3D Tracking
FabStation
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Full Time
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Yesterday
FabStation
You will own the end-to-end architecture, implementation, and optimization of real-time 3D object tracking for AR-enabled structural steel fabrication. This involves integrating native C++ vision pipelines with Unity and ensuring high performance on mobile hardware.
You will own the end-to-end development of computer vision models, including 3D pose estimation and statistical body modeling, from prototype to production. Additionally, you will manage the data lifecycle, training frameworks, and deployment pipelines to ensure models run efficiently in the cloud and on-device.
Design and productionize perception systems to transform real-world warehouse environments into high-quality AI training data. You will own the egocentric perception stack, including data capture, vision pipelines, and automated labeling workflows.
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Senior Computer Vision Engineer- UK
STACK Construction Technologies
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Full Time
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1 Week Ago
STACK Construction Technologies
Design and implement end-to-end computer vision pipelines for detection and segmentation of construction documents. Own the entire lifecycle from data curation and model training to production serving and geometric post-processing.
Develop and deploy real-time object detection and segmentation models for automated visual inspection of physical materials. Manage the full model lifecycle including training, registry, deployment, and monitoring on production machinery.
Lead the design and scaling of production-ready computer vision systems for biometric face recognition and attributes. Own the end-to-end ML pipeline from data ingestion and curation to low-latency deployment on AWS.
Senior Computer Vision Engineer- US
STACK Construction Technologies
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Full Time
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2 Weeks Ago
STACK Construction Technologies
Design and improve end-to-end computer vision pipelines for detection and segmentation of construction documents. Own the entire lifecycle from data curation and model training to production deployment and post-processing.
Senior Computer Vision Engineer- Canada
STACK Construction Technologies
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Full Time
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2 Weeks Ago
STACK Construction Technologies
Design and improve end-to-end computer vision pipelines for detection and segmentation of construction documents. Own the entire lifecycle from data curation and model training to production deployment and post-processing.
Computer Vision Engineer (m/w/d)
Agentur Philipp GmbH
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Full Time
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2 Weeks Ago
Agentur Philipp GmbH
Develop, train, and deploy computer vision solutions for tasks such as object detection, quality control, and image analysis. Build robust ML pipelines and integrate models into customer environments via APIs, backend systems, or edge hardware.
Lead a team of engineers to design and scale drone-based computer vision platforms for digital biological assessments. Architect end-to-end image analysis pipelines and integrate emerging AI technologies to replace manual field assessments.
Senior Machine Learning Engineer, Computer Vision
Overwatch Imaging
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Full Time
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4 Weeks Ago
Overwatch Imaging
Design and optimize end-to-end data and model pipelines for computer vision systems, focusing on detection, segmentation, and tracking. Optimize models for real-time deployment on embedded GPU platforms like Nvidia Jetson.
Develop and optimize deepfake and liveness detection models using advanced deep learning architectures. Manage the end-to-end ML lifecycle from data preparation to production deployment on AWS.
Design and scale computer vision systems to transform sports video into actionable insights, focusing on detection, tracking, and camera calibration. Lead technical initiatives from experimentation through production deployment while collaborating with cross-functional engineering and data teams.
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Develop pipelines for point cloud processing, scan-to-CAD alignment, and dimensional measurement to turn raw 3D scan data into production-grade measurements. Collaborate with QC managers on the shop floor to validate software and support live customer deployments in fabrication environments.
Own the spatial perception layer of the data pipeline, focusing on camera and multi-sensor calibration. Build and improve SLAM, VIO, and mapping pipelines to recover aligned 6-DoF trajectories from real-world captures.
You will design, train, and deploy computer vision models while owning the full machine learning pipeline from data preprocessing to production. You will also collaborate with cross-functional teams to integrate these solutions into the platform and establish observability benchmarks.
Lead ML Engineer - Computer Vision
Benchmark Construction Technology Corp
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Full Time
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17 Weeks Ago
Benchmark Construction Technology Corp
You will architect, build, and deploy machine learning systems for document understanding and information extraction from complex building plans. Additionally, you will drive R&D efforts and mentor junior engineers to ensure high-quality, scalable production systems.
Computer Vision DATA Engineer - Fully Remote USD - Latin America based
Glacier
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Full Time
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1 Week Ago
Glacier
Own the image and video dataset lifecycle, including taxonomy, curation, and quality control. Design and maintain data pipelines and build internal tools to accelerate dataset creation and labeling for the ML team.
Lead the design and scaling of production-grade computer vision systems for biometrics, including face recognition and attribute detection. Own the end-to-end ML pipeline from data ingestion and curation to low-latency deployment on AWS.
Senior AI & Computer Vision Software engineer
Plain Concepts
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Full Time
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3 Weeks Ago
Plain Concepts
Senior Full Stack Engineer for Computer Vision Products
Nacre Capital
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Full Time
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3 Weeks Ago
Nacre Capital
Lead the design and deployment of the production photogrammetry pipeline and 3D reconstruction stack. Transition from a hands-on technical lead to a people manager by mentoring engineers and managing direct reports.
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You will own the AI/ML core of the robotics platform, designing neural network architectures and managing the end-to-end lifecycle from data processing to edge deployment. Additionally, you will collaborate with the CTO to define the technical strategy and mentor future engineers as the team scales.
Staff Software Engineer, Machine Learning (Computer Vision), Remote
DeepWalk
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Full Time
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13 Weeks Ago
DeepWalk
The Staff Software Engineer will lead the technical direction of the computer vision platform, overseeing the lifecycle of ML models and data pipelines. They will also mentor the engineering team and collaborate with leadership to translate business needs into scalable technical solutions.
You will take end-to-end ownership of machine learning models, ensuring their reliable deployment and performance on physical hardware. Additionally, you will design and optimize real-time AI pipelines while collaborating with cross-functional teams and clients.
Sensor Fusion Engineer (d/m/w) Acoustic & Computer Vision Deutschland remote
The Formula
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Full Time
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5 Weeks Ago
The Formula
Develop a next-generation drone early warning system using visual and acoustic sensor fusion and learning map architectures. Implement scalable, low-latency AI and ML models directly on local sensors and edge devices.
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