Deepfake Professionals

Several years of experience working with deepfake technology is required for top positions, although some employers hire recent college graduates who have completed an internship in deepfake technology for entry-level positions.

Many deepfake professionals have backgrounds in machine learning engineering. Although skill requirements vary by employer and job title, here are some in-demand technical skills for machine learning engineers (MLEs) according to the recruiting firm Robert Half Technology and other sources:

• Knowledge of programming and software design fundamentals
• Knowledge of basic algorithms and object-oriented and functional design principles
• Extensive data modeling and data architecture skills
• Programming experience in Python, R, and Java (the top languages for MLEs), as well as in C++, C, JavaScript, Scala, and Julia
• Background in machine learning frameworks such as TensorFlow or Keras
• Knowledge of Hadoop or other distributed computing systems
• Experience working in an Agile environment
• Advanced math skills (linear algebra, Bayesian statistics, group theory)
• Experience with research and development protocols
• Experience in probability and statistics modeling procedures
• The ability to perform graphics processing unit programming

Other important traits for deepfake professionals include a detail-oriented personality, patience and the ability to concentrate for long periods of time, tenacity, creativity, strong communication and interpersonal skills, top-notch analytical and time-management ability, superior problem-solving acumen, and a willingness to continue to learn throughout their careers.