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Lead Computer Vision Engineer
2 months ago
About Plato
Plato is an innovative startup focused on developing advanced perception systems for autonomous technologies. Our team is composed of industry leaders and academic experts who have successfully transitioned cutting-edge research into scalable software solutions. Our foundational product is the result of extensive research and development, driven by our co-founders' vision and expertise.
Our mission encompasses a wide range of competencies, including software development, sophisticated sensor systems, algorithm design, embedded systems, signal processing, and machine learning. We are dedicated to creating and implementing edge software and cloud services that power real-time customer-facing applications as well as robust internal data tools. We seek individuals with deep expertise in their fields, coupled with a passion for collaboration and knowledge sharing across disciplines.
We have an exciting opportunity for a full-time position in the realm of computer vision and machine learning. The selected candidate will become part of a diverse team of scientists and engineers, contributing to the development of state-of-the-art Computer Vision (CV) and Machine Learning (ML) methodologies utilizing data from various sensors.
Key Responsibilities
- Conduct research, design, and implement advanced image processing and computer vision algorithms for a real-time vision pipeline, including tasks such as camera calibration, multi-object tracking, object detection and classification, segmentation, and multi-sensor integration.
- Oversee, enhance, and refine existing in-house algorithms and models through continuous evaluation, gap analysis, re-training, and optimization.
- Develop cutting-edge deep learning architectures and networks using data from multiple sensors, with responsibilities including training, evaluating, benchmarking, and deploying into real-time systems.
- Optimize algorithm performance across diverse development platforms and embedded systems.
- Create evaluation scripts to process extensive datasets and accurately assess algorithmic and overall performance.
Basic Qualifications
- PhD in Computer Vision/Machine Learning with 4+ years of relevant industry experience, or a Master's degree with 5+ years of experience.
- Proficient in Python/C++ programming, with a solid understanding of software development best practices, debugging, and profiling.
- Strong grasp of stereo/multi-view geometric computer vision and classical techniques for natural scene imagery.
- Practical experience with image processing libraries such as OpenCV and PIL.
- Hands-on experience with at least one mainstream deep learning framework, including PyTorch, TensorFlow, or ONNX.
- Experience in writing production-level code.
- Familiarity with data science tools such as Jupyter Lab/Notebooks, Pandas, Bash scripting, and Linux environments.
- Self-motivated with excellent problem-solving capabilities.
- Strong communication skills.
Preferred Qualifications
- Experience with multi-sensor calibration and multi-view geometry.
- Hands-on experience with various neural network architectures (CNNs, RNNs, etc.) and specific methodologies for classification, segmentation, and object detection.
- Solid foundation in software engineering with a commitment to writing clean, well-structured code.
- Understanding of the physical characteristics of sensors, including cameras and LiDAR systems.
- Publications in prominent computer vision/machine learning conferences and journals.
- Experience in statistical modeling, analysis, and significance testing.
- Familiarity with edge computing platforms and coding for resource-constrained environments.
- Experience in mentoring and guiding junior engineers.
