A Quantum Machine Learning Engineer merges AI and quantum computing. They solve unique computational problems using quantum means. Their pattern problem solving ability is significantly enhanced. Google reported a quantum ML model in 2023 which outperformed regular ML by a factor of 100x for certain tasks. They write subroutines for quantum neural networks. A quantum physicist and a machine learning engineer work together to aid the machine in pattern recognition among large amounts of data.
Working knowledge of basic machine learning is required. Comprehension of neural networks and their functionality is also significant. Understanding the fundamentals of quantum computing is required. One must be proficient in writing computer programs in Python. Familiarity with TensorFlow is critical. Mastery of mathematics, especially linear algebra, is a requirement. A basic understanding of quantum algorithms is needed. A person should possess remarkable skill in critical thinking.
The market for jobs increases by approximately 25 to 30 percent on a yearly basis. This continues to be one of the leading industries within the quantum field. There will be a need for 3000 Quantum Machine Learning Engineers by 2027. These industries have the greatest investment from big technology firms. They are also being employed by finance and pharmaceutical companies. This market is still in its infancy, hence there remains a lot of scope for experts in the area.
In California; Google, Nvidia, and QC Ware are hiring. In New York; IBM, Goldman Sachs, and D-Wave Systems need engineers. In Maryland; 1QBit and Amazon have teams. In Illinois; Argonne Lab and several startups are building teams. Remote work is common in this specialty. Companies like Zapata Computing and Strangeworks hire from many locations.
Teaches students and professionals about quantum computing principles, earning $60,000-115,000.
Creates clear documentation for quantum computing tools and concepts, earning $58,000-110,000.
Studies how light can be used to store and process quantum information, earning $68,000-130,000.
Develops new materials that enable better quantum computing, earning $70,000-135,000.
Designs systems that connect quantum computers securely, earning $85,000-145,000.
Studies how particles behave at the quantum level for computing applications, earning $82,000-140,000.