Senior Data Scientist (Computer Vision Engineer)
Summary
Build and optimize computer-vision models for gaming hardware and experiences, using Python/C++ and OpenCV to detect, track, and classify visual data.
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is
a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also
a great place to work,
providing you the unique, gamer-centric
experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities
Develop and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and image classification. Design and architect computer vision systems to meet specific requirements and objectives. Collect, curate, and annotate large datasets of images or videos for training and evaluation of computer vision models. Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries. Evaluate the performance of computer vision models using appropriate metrics and benchmarks. Integrate computer vision algorithms and models into larger software systems or products. Conduct testing and validation to ensure the functionality, reliability, and accuracy of computer vision systems. Document design specifications, technical requirements, and implementation details for computer vision solutions. Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation. Consider ethical, legal, and regulatory implications in the development and deployment of computer vision systems
Pre-Requisites
Bachelor's or master's degree in computer science, Electrical Engineering, or a related field. Proven experience in developing and implementing computer vision algorithms and models. Proficiency in programming languages such as Python or C++. Strong understanding of image and video processing techniques and methodologies. Familiarity with computer vision libraries such as OpenCV. Experience with data collection, annotation, and preparation for model training. Ability to evaluate and optimize model performance using appropriate metrics and benchmarks. Experience integrating computer vision solutions into software systems or products. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilitie
PythonC++
OpenCV
Are you game
a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also
a great place to work,
providing you the unique, gamer-centric
experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities
Develop and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and image classification. Design and architect computer vision systems to meet specific requirements and objectives. Collect, curate, and annotate large datasets of images or videos for training and evaluation of computer vision models. Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries. Evaluate the performance of computer vision models using appropriate metrics and benchmarks. Integrate computer vision algorithms and models into larger software systems or products. Conduct testing and validation to ensure the functionality, reliability, and accuracy of computer vision systems. Document design specifications, technical requirements, and implementation details for computer vision solutions. Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation. Consider ethical, legal, and regulatory implications in the development and deployment of computer vision systems
Pre-Requisites
Bachelor's or master's degree in computer science, Electrical Engineering, or a related field. Proven experience in developing and implementing computer vision algorithms and models. Proficiency in programming languages such as Python or C++. Strong understanding of image and video processing techniques and methodologies. Familiarity with computer vision libraries such as OpenCV. Experience with data collection, annotation, and preparation for model training. Ability to evaluate and optimize model performance using appropriate metrics and benchmarks. Experience integrating computer vision solutions into software systems or products. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilitie
PythonC++
OpenCV
Are you game