Research Engineer II - Deepfake Video
Skills
Computer ScienceCCreativeData AcquisitionKerasMachine LearningPattern Recognition
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Possess a Master’s or PhD in a quantitative field such as Computer Science Mathematics or Engineering.
- Have 2+ years of experience in Deep Learning with a focus in computer vision and video data acquisition.
- Strong programming skills in Python and C/C++ and proficiency with ML frameworks like TensorFlow Keras and PyTorch.
- Able to explain complex topics simply and collaborate well in a team environment.
- Resourceful and adaptable proactive in solving problems and embracing change and ambiguity.
Nice to have
- Peer-reviewed publications
- Go experience
- TF-Lite and TF-Micro
- JavaScript HTML CSS React JS
- Project delivery skills
- Biometrics authentication knowledge
- Customer interaction skills
Day to day
- Transfer audio and ML models from Research to Production across various platforms.
- Contribute to training and testing ML models through research packages.
- Conduct experimental studies on audio processing tasks to evaluate model accuracy and quality.
- Publish patents and write peer-reviewed papers in prominent audio and computer vision conferences.
- Participate in research team activities including research reviews and code reviews.