Most people would agree that artificial intelligence (AI) and machine learning are two of the most exciting developments to emerge in the tech center in recent years. They have the potential to change how work is handled in a range of industries and on a broad scale, potentially empowering machines to manage repetitive and tedious tasks while allowing employees to focus on more engaging duties that genuinely require a human touch.
Additionally, AI and machine learning are giving companies the ability to make the most of their data by identifying patterns and trends that may be almost impossible for people to spot, especially when the information is stored in multiple databases or is held as unstructured data.
This has led business of all shapes and sizes to seek out professionals with AI and machine learning skills, and Silicon Valley is one of the hiring hotspots.
Silicon Valley is Hiring AI and Machine Learning Pros
According to a recent study, companies in San Jose and San Francisco are actively hiring AI and machine learning professionals to help them explore these burgeoning technologies.
In fact, San Jose is leading the way when it comes to job postings for machine learning engineers, computer vision engineers, and algorithm engineers, four of the jobs that most commonly require applicants to have machine learning and/or AI skills. The city also took the top spot for research engineers who need experience with AI and/or machine learning.
Overall, 9.6 percent of all job openings listed in Indeed that call for AI skills were in San Francisco. San Jose wasn’t far behind, being the location for 9.2 percent of the vacancies in these tech areas. Together, that’s a stunning 18.8 percent of all AI and machine learning-oriented vacancies in the country.
AI and Machine Learning Salaries
Having the right combination of AI or machine learning skills and experience can lead to an astonishingly lucrative career. There are extreme skill shortages in these specialties, so experts in the field can command massive salaries based on the capabilities.
With five years of experience in the field, an AI professional in San Francisco can receive a salary of about $121,000. Plus, as a tech pro’s experience and skill set grow, they can earn substantially more.
Additionally, while demand is expected to increase dramatically, it’s unlikely the supply of skilled IT professionals will rise at the same rate. This could mean salaries will continue to grow as companies compete for the best and brightest AI and machine learning specialists.
Plus, many AI and machine learning roles come with generous benefits packages, providing workers with even more value when they accept a position.
Ultimately, if you are an AI or machine learning professional, Silicon Valley is an excellent place to find an exciting job that allows you to focus on these technologies. If you are looking for a new IT position, the team at The Armada Group can connect you with some of Silicon Valley’s leading tech employers. Contact us to learn more about our available jobs today and see how our services can help you find your ideal role quickly and efficiently.
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.