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 (23)
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.
The role involves developing computer vision solutions for real-world applications, requiring proficiency in core programming languages and frameworks. Responsibilities include training AI models with custom datasets and handling 3D data processing techniques like Structure-from-Motion and Photogrammetry.
The Computer Vision Engineer will develop computer vision solutions for real-world applications and collaborate with team members to innovate and find solutions. They will also be involved in training AI models and working with various technologies related to computer vision.
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.
New "Computer Vision Engineer" jobs delivered to your inbox
We'll notify you when new positions matching this search are posted
Sr. Machine Learning Engineer- Computer Vision (Liveness Detection & Spoofing)
Mitek Systems
·
Full Time
·
3 Days 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.
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.
Sr Machine Learning Engineer- Computer Vision
Cox Enterprises
·
Full Time
·
2 Weeks Ago
Cox Enterprises
Design, train, and deploy computer vision models for vehicle damage detection, classification, and segmentation. Manage the full ML lifecycle from dataset curation and mining using LLMs to production deployment on server and mobile platforms.
Develop and optimize AI-powered algorithms for 3D medical image analysis and segmentation within a cloud-based healthcare platform. Collaborate with cross-functional teams to translate clinical needs into scalable software components and ensure regulatory compliance.
You will own computer vision products throughout their entire lifecycle, from research and development to deployment and iterative improvement. Additionally, you will optimize real-time C++ applications and maintain system reliability in a cloud-based micro-service environment.
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
·
Full Time
·
8 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 Machine Learning Engineer (Computer Vision)
INFOMEDIJI d.o.o.
·
Full Time
·
10 Weeks Ago
INFOMEDIJI d.o.o.
The role involves deploying Machine Learning pipelines into production and researching/improving algorithms for tasks like Video2Haptic generation, video metadata extraction, and action recognition. Key development areas include refining high-resolution video matting, content censoring algorithms, and researching spatiotemporal ROI extraction and volumetric video generation.
The role involves designing, training, and deploying machine learning models to enhance products, alongside building and maintaining full stack applications and services that integrate these ML capabilities into production systems. Responsibilities also include developing data pipelines and fine-tuning models for specific use cases.
Software Engineer (Back-end & Computer Vision)
StellDirVor GmbH
·
Full Time
·
3 Weeks Ago
StellDirVor GmbH
Design and build the back-end infrastructure, REST APIs, and data pipelines for an AR and AI-based healthcare training system. Integrate AI capabilities and smartglass SDKs to enable real-time data streaming and computer vision analysis.
New "Computer Vision Engineer" jobs delivered to your inbox
We'll notify you when new positions matching this search are posted
Translate R&D from the AI & Computer Vision team into production-ready algorithmic systems for conflated Map Data products. Design and operate scalable software systems that transform petabytes of aerial imagery into actionable geospatial insights.
Computer Vision & AI Engineer (m/f/d)
Energy Robotics GmbH / Korial
·
Full Time
·
4 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
·
Full Time
·
5 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.
Develop and optimize computer vision and object detection models for real-time video analytics in a retail environment. Collaborate with cross-functional teams to deploy ML models and build alerting capabilities for operational efficiency and safety.
You will bridge the gap between research and production by adapting novel computer vision algorithms for power grid infrastructure analysis. Responsibilities include designing data pipelines, conducting systematic error analysis, and building scalable model serving systems.
Senior Computer Vision & Machine Learning Engineer
Buzz Solutions
·
Full Time
·
16 Weeks Ago
Buzz Solutions
Architect and lead end-to-end computer vision projects focused on equipment defect detection, thermal anomaly identification, and vegetation encroachment monitoring. Drive innovation by incorporating the latest advances in deep learning and generative AI to enhance model training, accuracy, and reliability.
Automatically Apply to Computer Vision Engineer Jobs
Stop the endless job search. Our AI finds and applies to the best jobs for you.
