Role OverviewAgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis.
What You Will Do
You will own the applied model development process across computer vision, AI/ML, and broader data science use cases. You will evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance. You will develop and deploy solutions for object detection, image segmentation, image classification, and video analysis. You will build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis.
Why It Might Be a Fit
You have 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field. You have strong, production-level proficiency in Python and deep hands-on experience with PyTorch and/or TensorFlow. You have practical experience working with computer vision hardware, including cameras, sensors, and lighting setups. You must be authorized to work for ANY employer in the US, as we are unable to sponsor or take over employment visa sponsorship at this time.
Requirements
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience)
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite)
- Strong, production-level proficiency in Python
- Deep hands-on experience with PyTorch and/or TensorFlow
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering)
- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups
- Familiarity with deploying models on edge devices
- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference
- Upper-intermediate English level
Benefits
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets
- Exciting projects: Modern solutions with Fortune 500 and top product companies
- Flextime: Flexible schedule with remote and office options
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