Computer Vision Engineer, Bamboo

Sports Computer Vision Engineer

Develop and train computer vision models for sports video analysis, including detection, tracking, and event recognition. Manage the full experimentation loop and collaborate with platform teams to productionize models for scalable inference.

Computer Vision Engineer (m/w/d)

Develop, train, and deploy computer vision solutions for tasks such as object detection, quality control, and image analysis. Integrate machine learning models into customer environments and maintain robust data pipelines.

Founding Computer Vision Engineer — Teach AI to See Ocean Plastic

Lead the development of aerial perception capabilities by building detection and segmentation models for plastic pollution tracking. Collaborate with the robotics team to integrate perception into a full sensing system and conduct field deployments in international locations.

AI Engineer (Computer Vision and Applied GenAI)

Design, train, and deploy computer vision and generative AI models into production pipelines. Build and maintain the supporting infrastructure, including APIs, data pipelines, and monitoring systems to ensure model reliability.

Software Engineer (Computer Vision and Machine Learning)

Research, design, and implement advanced Computer Vision and machine learning algorithms for 3D sensor data. Collaborate with cross-functional teams to integrate these capabilities into production-ready software for mining and industrial environments.

Senior Computer Vision Engineer- UK

Design and improve end-to-end computer vision pipelines for document detection and segmentation. Own the full lifecycle of model training, post-processing, and production deployment to ensure reliable, high-accuracy geometric output.

Senior Machine Learning Engineer (Computer Vision)

You will lead the technical direction of the AI Mosaic product by deploying and improving production machine learning pipelines. This involves researching and developing computer vision algorithms for high-resolution video masking, segmentation, and motion recognition.

Senior Computer Vision Engineer- Canada

Design, build, and improve end-to-end computer vision pipelines for document detection and segmentation. Own the full system lifecycle, including data curation, model training, post-processing, and production inference optimization.

Senior Computer Vision Engineer

Design, implement, and optimize state-of-the-art computer vision and visual-language models for real-world retail edge deployments. Bridge exploratory research with production engineering by executing data-backed analysis to validate algorithm performance.

Junior Lead ML Engineer - Computer Vision

You will support the development and improvement of machine learning systems for object detection, segmentation, and information extraction from building plans. Additionally, you will assist in integrating models into production applications while maintaining clean, testable, and maintainable Python code.

ML Research Engineer - Computer Vision

You will lead the research, development, and deployment of advanced computer vision algorithms for item authentication and digital fingerprinting. Additionally, you will oversee the optimization of models for edge devices and provide technical mentorship to junior team members.

Senior Computer Vision Engineer, Real-Time 3D Tracking

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.

Machine Learning Engineer - (Computer Vision)

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.

Computer Vision Engineer (PyTorch/TensorRT)

Senior Computer Vision Engineer

Senior Computer Vision Engineer

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.

Senior Applied Computer Vision Engineer

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.

3D Computer Vision Engineer 14 applicants

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.

Senior Computer Vision Engineer

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.

Computer Vision DATA Engineer - Fully Remote USD - Latin America based

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.

Machine Learning Engineer - IV (Computer Vision)

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

Lead Software Engineer, 3D Computer Vision (USA)

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.

Senior Computer Vision and Deep Learning Engineer

The role involves researching, developing, and integrating computer vision and AI solutions for perception problems such as object detection and sensor fusion. You will own the full product life cycle from proof of concept to deployment on embedded and edge platforms while collaborating with cross-functional teams.

Computer Vision and Deep Learning Engineer

The engineer will research, develop, and integrate computer vision and AI solutions for perception problems like object detection and sensor fusion. They will also manage the full product life cycle from proof of concept to deployment on embedded and edge platforms.

Senior Computer Vision & Edge AI Engineer

You will have full end-to-end technical ownership of the vision core for an industrial visual inspection product on the NVIDIA platform. You will also design and lead the evolution of the pipeline orchestration toward a high-performance native C++ core to deliver real-time decisions.

Computer Vision & Machine Learning Engineer

You will own and deliver end-to-end computer vision projects, including equipment defect detection and thermal anomaly identification for power grid infrastructure. Additionally, you will bridge the gap between research and production by adapting novel algorithms and building scalable data pipelines.

Senior Computer Vision & Machine Learning Engineer

You will own and deliver end-to-end computer vision projects for power grid infrastructure, including defect detection and thermal anomaly identification. You will also bridge the gap between research and production by adapting novel algorithms and building scalable deployment pipelines.

Machine Learning Engineer (Edge AI & Computer Vision)

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.