If you are interviewing machine learning developer candidates, you likely have a strong grasp of technical concepts. Plus, those who make your short list are practically guaranteed to have a level of tech prowess, regardless if they’ve specifically worked in the machine learning arena before.
However, since machine learning development is a relatively new specialty, it can be hard to determine what interview questions will help you sort out those with the right kind of potential. This is especially true since many fledgling fields attract job seekers looking to make a change, so their prior experience may not be in the world of machine learning.
If you are getting ready to interview machine learning developer candidates, here are a few questions you can ask to help identify top talent.
What’s the Difference Between Bias and Variance?
This question is designed to help separate those who have a textbook understanding of the concepts from those who understand how they impact machine learning applications. While the fact-based response isn’t inherently wrong, by looking for candidates who take it to the next level, you can gauge if they have a functional understanding, as well as a conceptual one.
If You Had to Choose, Would You Say Model Accuracy or Model Performance is More Important?
Many job seekers approach this question by attempting to avoid a direct answer, instead focusing on how both are important. However, top talent will understand that, without accurate data, performance is largely irrelevant.
By asking this question, you can assess whether a candidate has a realistic picture of how the two concepts work together. While them mentioning that both are vital for overall success, a skilled developer is going to understand that accuracy is paramount, since low quality data makes even the speediest results unusable.
How Does Deep Learning Contract With Other Typical Machine Learning Algorithms?
Some job seekers are going to assert that deep learning is just a more complex or sophisticated approach to machine learning. However, this is only a surface level response.
The ideal candidate will be able to express a more thorough understanding of deep learning, including the use of the neural network model and how it can eliminate the need for manual feature selection based on the algorithm’s ability to learn meaningful features without the need for intervention.
Ultimately, top talent can go beyond a simplistic definition and actually show how they grasp the concept more fully, as well as how it affects the use of algorithms.
By asking the questions above, you are better equipped to determine which machine learning developer candidates have the strongest understanding of the field and are most likely to meet your needs. If you are seeking high-quality machine learning professionals to join your team, the staff at The Armada Group can connect you with some of the area’s leading developers. Contact us to speak with a member of our knowledgeable staff today and see how our services can help you find the ideal candidate quickly and efficiently.