Computer Vision Engineer - Data Scientist
Summary
Develop real-time computer vision algorithms for gaming broadcasting, integrating models into video capture pipelines and optimizing performance for low-latency streaming.
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
We seek a skilled Computer Vision Engineer to develop and optimize real-time low latency video camera software for broadcasting applications. The role focuses on video capture, processing, and integration of third-party effects, with an emphasis on performance and reliability in resource-constrained environments. The successful candidate will also demonstrate a proactive mindset—continually learning new skills, tools, and technologies to stay ahead in a fast-evolving field and drive innovation within the team.
Key Responsibilities
Develop and implement computer vision algorithms for tasks such as image segmentation, object detection and image classification. Integrate computer vision algorithms (internal and external) and models into real-time broadcasting applications Collect, and annotate 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 function and performance of computer vision models using appropriate metrics and benchmarks. Build virtual camera drivers to enhance video output for streaming platforms. Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation.
Pre-Requisites
Required Skills
Bachelor's or master's degree in computer science, or a related field. Proven experience in developing and implementing computer vision algorithms and AI models. Proficiency in programming languages such as Python or C++. Familiarity with computer vision libraries such as OpenCV. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities
Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.
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
We seek a skilled Computer Vision Engineer to develop and optimize real-time low latency video camera software for broadcasting applications. The role focuses on video capture, processing, and integration of third-party effects, with an emphasis on performance and reliability in resource-constrained environments. The successful candidate will also demonstrate a proactive mindset—continually learning new skills, tools, and technologies to stay ahead in a fast-evolving field and drive innovation within the team.
Key Responsibilities
Develop and implement computer vision algorithms for tasks such as image segmentation, object detection and image classification. Integrate computer vision algorithms (internal and external) and models into real-time broadcasting applications Collect, and annotate 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 function and performance of computer vision models using appropriate metrics and benchmarks. Build virtual camera drivers to enhance video output for streaming platforms. Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation.
Pre-Requisites
Required Skills
Bachelor's or master's degree in computer science, or a related field. Proven experience in developing and implementing computer vision algorithms and AI models. Proficiency in programming languages such as Python or C++. Familiarity with computer vision libraries such as OpenCV. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities
Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.
Are you game