- Technical Leadership: Lead and mentor a team of computer vision engineers, setting technical direction, defining best practices, and driving innovation in visual intelligence technologies.
- Solution Architecture: Design and architect computer vision solutions, ensuring scalability, reliability, and performance.
- Algorithm Development: Develop and implement advanced computer vision algorithms and techniques to solve complex visual perception tasks, such as object detection, image classification, and semantic segmentation.
- Model Training and Evaluation: Train and evaluate computer vision models using large-scale datasets, optimizing for performance, accuracy, and efficiency.
- Model Deployment: Deploy computer vision models into production environments, ensuring seamless integration with existing systems and platforms.
- Performance Optimization: Optimize the performance of computer vision models and systems, leveraging techniques such as parallel processing, GPU acceleration, and model quantization.
- Data Preparation: Collect, preprocess, and annotate image and video data for training computer vision models, ensuring data quality and relevance.
- Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver end-to-end computer vision solutions that meet customer requirements.
- Research and Innovation: Stay informed about the latest advancements in computer vision research and technology, exploring innovative approaches and techniques to enhance computer vision solutions.
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
- 7+ years of experience in computer vision engineering, with a proven track record of developing and deploying computer vision solutions.
- Leadership experience, with a demonstrated ability to lead and mentor a team of engineers.
- Proficiency in programming languages such as Python, C++, or MATLAB, and expertise in computer vision libraries and frameworks such as OpenCV, TensorFlow, or PyTorch.
- Strong understanding of computer vision algorithms and techniques, including object detection, image classification, semantic segmentation, and optical flow.
- Experience with deep learning architectures for computer vision tasks, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
- Familiarity with image and video processing techniques, including feature extraction, transformation, and enhancement.
- Excellent problem-solving skills and analytical thinking, with a passion for tackling complex computer vision challenges.
- Exceptional communication and collaboration skills, with the ability to work effectively in multidisciplinary teams and communicate technical concepts to non-technical stakeholders.
- Competitive salary: The industry standard salary for Lead Computer Vision Engineers typically ranges from $200,000 to $300,000 per year, depending on experience and qualifications.
- Comprehensive health, dental, and vision insurance plans.
- Flexible work hours and remote work options.
- Generous vacation and paid time off.
- Professional development opportunities, including access to training programs, conferences, and workshops.
- State-of-the-art technology environment with access to cutting-edge tools and resources.
- Vibrant and inclusive company culture with opportunities for growth and advancement.
- Exciting projects with real-world impact at the forefront of computer vision innovation.
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Lead Computer Vision Engineer - San Francisco, United States - Unreal Gigs
Description
Company Overview: Welcome to the forefront of computer vision innovation Our company is dedicated to pushing the boundaries of computer vision technology to solve real-world problems and drive transformative change across industries. We're committed to developing cutting-edge computer vision solutions that empower businesses and enhance user experiences. Join us and lead our team in shaping the future of visual intelligence.
Position Overview: As the Lead Computer Vision Engineer, you'll be responsible for leading our computer vision engineering efforts and driving innovation in visual intelligence technologies. You'll lead a team of talented engineers in developing and deploying advanced computer vision algorithms and systems to solve complex visual perception tasks. If you're a seasoned computer vision expert with leadership experience and a passion for innovation, we want you on our team.
Requirements
Key Responsibilities:
Qualifications:
Benefits
Join Us: Ready to lead our computer vision engineering team and shape the future of visual intelligence? Apply now to join our team and drive innovation in computer vision technology
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