A process method for applying a machine learning algorithm to automobile software development function safety comprises the following seven steps: step 1, a project starting stage: adopting a machinelearning decision-making door; 2, a software security requirement stage: standardizing and describing security requirements; Step 3, a software architecture design stage: adopting a fault-tolerant design method; 4, a software development stage: collecting data; 5, a software development stage and model selection; 6, a software development stage and model implementation are carried out; And 7, a software integration stage, verification and testing. According to the method, in the development process of automobile electronic software, the property of partial standardized description is clear, analgorithm feature selection model based on various machine learning is facilitated, and then the development efficiency and safety are improved. Based on the above, the method has a good applicationprospect.