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 (32)
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.
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Architect and train cutting-edge computer vision models for retail object recognition and inventory tracking. Drive the edge deployment strategy by optimizing models for constrained devices and integrating vision-language-action pipelines.
Design, develop, and deploy computer vision models for tasks such as object detection and image segmentation. Collaborate with cross-functional teams to build scalable, production-level AI systems and analyze large-scale datasets.
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.
Design, train, and optimize Computer Vision models for real-time video processing. Develop high-performance pipelines and implement GPU-optimized code using Nvidia CUDA.
Senior Machine Learning Engineer, Computer Vision
Overwatch Imaging
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Full Time
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1 Week 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.
Design and deliver advanced computer vision systems for global companies, owning models from experimentation to production. Responsibilities include developing models for classification and detection, optimizing performance, and deploying on cloud or edge hardware.
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.
Own the development and deployment of applied models for computer vision, including object detection, segmentation, and video analysis. Translate complex business problems into scalable AI/ML solutions while optimizing for real-world hardware constraints.
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.
Collaborate with cross-functional teams to develop AI solutions and automate processes for operational efficiency. Build and monitor end-to-end lifecycles of large-scale distributed machine learning systems for surgical care.
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.
Sr. Machine Learning Engineer- Computer Vision (Liveness Detection & Spoofing)
Mitek Systems
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Full Time
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6 Weeks Ago
Mitek Systems
Lead applied ML initiatives to develop next-generation identity verification engines focusing on face liveness and anti-spoofing. Manage the full ML lifecycle from data collection and model design to production deployment and monitoring on AWS.
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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.
Design and implement end-to-end computer vision pipelines for extracting structured data from clinical images. This includes training detection models, managing dataset strategies, and maintaining async Python backend services.
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.
The role involves training object detection models to extract technical data from diagrams and constructing Knowledge Graphs for simulation-ready models. You will also design multi-agent systems and build Agentic RAG pipelines to automate simulation code generation.
Lead ML Engineer - Computer Vision
Benchmark Construction Technology Corp
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Full Time
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14 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.
Senior Full Stack Engineer for Computer Vision Products
Nacre Capital
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Full Time
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Yesterday
Nacre Capital
Senior Applied Research Engineer, 3D Computer Vision (USA)
DroneDeploy
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Full Time
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4 Weeks Ago
DroneDeploy
Design, train, and deploy production-grade 3D reconstruction systems using Gaussian splatting and foundation models. Optimize these systems for speed and accuracy while integrating modern AI tooling into the software development lifecycle.
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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Computer Vision & AI Engineer (m/f/d)
Energy Robotics GmbH / Korial
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Full Time
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10 Weeks Ago
Energy Robotics GmbH / Korial
Develop and deploy vision-based perception algorithms for autonomous inspection robots. Integrate perception pipelines into robotic systems and support MLOps workflows.
Staff Software Engineer, Machine Learning (Computer Vision), Remote
DeepWalk
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Full Time
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10 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.
Sensor Fusion Engineer (d/m/w) Acoustic & Computer Vision Deutschland remote
The Formula
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Full Time
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2 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.
Fusion Engineer (d/m/w) Acoustic & Computer Vision Deutschland remote
The Formula
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Full Time
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3 Weeks Ago
The Formula
Develop a next-generation drone early warning system using multi-sensor perception and fusion of visual and acoustic data. Implement scalable AI and ML models directly on local sensors to ensure low-latency intelligence and high observability.
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