Technical Assessment

During the the hiring process the technical assessment's purpose is to evaluate the candidate's technical skills, problem-solving abilities, and understanding of engineering principles. It allows the employer to gauge the candidate's proficiency in specific areas relevant to the job, such as coding, software development, system design, or other engineering tasks. This utmost goal is to ensure that the candidate has the necessary skills to perform the job and can contribute to the team.

Coding Test

In a coding test, individuals are typically presented with several straightforward questions and problems, along with more complex coding tasks that require a deeper understanding and application of coding principles.

Screening

Screening happens usually early in the process and is all about filtering with high precision. Therefore, the process tends to be more oriented to not miss any potentially good candidates. A set of simple questions is given to test standard conceptual knowledge. In some case there might be a few on a niche subject where someone would have known the answer only if he have had the required experience for the position.

Problem Solving

The purpose of the simple questions is to remove a false positives from previous steps in the purpose, and not to evaluate fit for the position. The next usually is a combination of advanced problems and the more involved problems where not only it depends on getting to the expected outcome, but the quality and time taken to provide the solution matters. This part is used to evaluate fit, and sort candidates according to their technical prowess.

Machine Learning

The role of a Machine Learning Engineer typically leans more towards technological expertise. However, it's important to effectively utilize this technical skill set by integrating it with theoretical knowledge of Machine Learning. These questions and answers will help you get a glimpse of what is typically sought after. Understanding the structures or frameworks used in machine learning is crucial. Therefore, we have provided some common examples of machine learning coding.

System Design

Many senior positions require the ability to design systems that operate efficiently and on a large scale. These systems should also be able to be implemented quickly while minimizing costs and resource usage. The ability to conceptualize, document, and often participate in the implementation of the most advanced parts of these systems is a skill that is assessed during the system design portion of a hiring process.